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1<main id="main-content" class="flex-1 relative"><div class="max-w-5xl mx-auto px-4 sm:px-6 py-10 sm:py-16"><nav aria-label="Breadcrumb" class="mb-6 text-xs" style="color:var(--color-text-tertiary)"><ol class="flex items-center gap-1.5 flex-wrap"><li class="flex items-center gap-1.5"><a class="hover:text-[var(--color-accent)] transition-colors" href="/">Home</a></li><li class="flex items-center gap-1.5"><span>/</span><span style="color:var(--color-text-secondary)">Blog</span></li></ol></nav><div class="text-center mb-12 animate-fade-up"><h1 class="text-3xl sm:text-4xl md:text-5xl font-display font-extrabold tracking-tight mb-3"><span style="color:var(--color-text-heading)">Token</span><span class="text-gradient">Blog</span></h1><p class="max-w-lg mx-auto text-base leading-relaxed font-light" style="color:var(--color-text-secondary)">Model releases, pricing breakdowns, and practical guides for developers.</p></div><a title="Grok 4.7 and MiMo-V2.6-Pro tie at 46 on Artificial Analysis. Grok&#x27;s output price is 6.9x Xiaomi&#x27;s, its bill for the same test was 19x, and most of that gap is on the input side." class="block glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group mb-10 animate-fade-up" href="/blog/grok-4-7-vs-mimo-v2-6-pro-pricing"><div class="grid grid-cols-1 md:grid-cols-2"><div class="relative flex flex-col justify-between p-6 sm:p-8 min-h-[200px] md:min-h-[280px] border-b md:border-b-0 md:border-r overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 768px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-4-7-vs-mimo-v2-6-pro-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2.5 py-1 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">October 4, 2026</span></div><div class="relative flex items-baseline gap-3 mt-8"><span aria-hidden="true" class="text-3xl sm:text-4xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-4xl sm:text-5xl leading-none text-zinc-50">Grok</span></div></div><div class="p-6 sm:p-8 flex flex-col justify-center"><div class="flex items-center gap-3 mb-3"><span class="text-xs font-medium uppercase tracking-wide" style="color:var(--color-text-tertiary)">Latest</span><span class="text-xs" style="color:var(--color-text-tertiary)">·</span><span class="text-xs" style="color:var(--color-text-tertiary)">6 min read</span></div><h2 class="text-xl sm:text-2xl font-display font-bold group-hover:text-[var(--color-accent)] transition-colors mb-3 leading-tight" style="color:var(--color-text-heading)">Grok 4.7 and MiMo-V2.6-Pro tie at 46 on Artificial Analysis. Grok&#x27;
1s output price is 6.9x…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Grok 4.7 kept Grok 4.6&#x27;s $2/$6 card. Xiaomi&#x27;s open-weight MiMo-V2.6-Pro lists at $0.435/$0.87 with cache hits at $0.0036. Both score 46 on the Artificial Analysis Intelligence Index. At xAI&#x27;s default…</p></div></div></a><div class="flex flex-wrap gap-2 mb-8"><button class="text-xs px-3.5 py-1.5 rounded-full border transition-colors text-[var(--color-accent)] bg-[var(--color-accent-hover-bg)] border-[var(--color-accent-border)]">All</button><button class="text-xs px-3.5 py-1.5 rounded-full border transition-colors border-[var(--color-card-border)] hover:border-[var(--color-accent-border)]" style="color:var(--color-text-tertiary)">Comparison</button><button class="text-xs px-3.5 py-1.5 rounded-full border transition-colors border-[var(--color-card-border)] hover:border-[var(--color-accent-border)]" style="color:var(--color-text-tertiary)">Model Release</button><button class="text-xs px-3.5 py-1.5 rounded-full border transition-colors border-[var(--color-card-border)] hover:border-[var(--color-accent-border)]" style="color:var(--color-text-tertiary)">Industry</button><button class="text-xs px-3.5 py-1.5 rounded-full border transition-colors border-[var(--color-card-border)] hover:border-[var(--color-accent-border)]" style="color:var(--color-text-tertiary)">Research</button><button class="text-xs px-3.5 py-1.5 rounded-full border transition-colors border-[var(--color-card-border)] hover:border-[var(--color-accent-border)]" style="color:var(--color-text-tertiary)">Guide</button></div><div class="grid grid-cols-1 sm:grid-cols-2 gap-5"><a title="Alibaba charges double for Prime on Qwen3.8 Max and GLM-5.3. On Qwen it buys 1.6x to 1.9x the speed. On GLM-5.3, Alibaba&#x27;
1s own standard endpoint is faster, and Decart is 3.4x faster for 42% of the price." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/qwen3-8-max-prime-glm-5-3-prime-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">October 3, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Alibaba charges double for Prime on Qwen3.8 Max and GLM-5.3. On Qwen it buys 1.6x to 1.9x…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Alibaba&#x27;
1s new Prime mode sells Qwen3.8 Max at $4/$12 and GLM-5.3 at $2.80/$8.80, twice the standard cards, for a promised 1.5x to 2x…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">6 min read</span></div></a><a title="GPT-6 Luna&#x27;s tokens cost a twentieth of GPT-6.1 Sol&#x27;s. On Artificial Analysis a finished task costs about half, and Sol on low effort scores five points higher than Luna on max." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/gpt-6-luna-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-6-luna-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">October 2, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-6 Luna&#x27;s tokens cost a twentieth of GPT-6.1 Sol&#x27;s. On Artificial Analysis a finished…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GPT-6 Luna lists at $0.10 in, $0.01 cached and $0.50 out, half of GPT-5.6 Luna and 1/20th of GPT-6.1 Sol. Per task the picture changes: Luna…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">6 min read</span></div></a><a title="Gemini 4 Argon launches on GPT-6.1 Sol&#x27;s rate card and is scheduled to move to Claude Opus 5.5&#x27;s. On Artificial Analysis, Opus 5.5 at high effort already scores higher than Argon for less than Argon&#x27;s introductory price." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/gemini-4-argon-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-4-argon-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">October 1, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini 4 Argon launches on GPT-6.1 Sol&#x27;s rate card and is scheduled to move to Claude Opus…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google priced Gemini 4 Argon at $2 in, $0.10 cached and $10 out for an introductory period with no end date, then $4, $0.20 and $20. The…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="GPT-6.1 Sol changed one number on GPT-6 Sol&#x27;s rate card, cached input, from $0.20 to $0.10. The bigger cut is in the tokens: on medium it matches GPT-6 Sol&#x27;s best score for a fifth of the cost per task." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/gpt-6-1-sol-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-6-1-sol-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 30, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-6.1 Sol changed one number on GPT-6 Sol&#x27;s rate card, cached input, from $0.20 to…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI shipped GPT-6.1 Sol at DevDay on September 29 at $2 in and $10 out, with cached input halved to $0.10 on every tier. On agent loops…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude Sonnet 5.5 kept Sonnet 5&#x27;s $2 and $10. Of its five effort settings, one is ever the cheapest way to its score, and it is the one the API picks when you leave effort unset." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/claude-sonnet-5-5-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-sonnet-5-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 29, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Sonnet 5.5 kept Sonnet 5&#x27;s $2 and $10. Of its five effort settings, one is ever the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Sonnet 5.5 shipped September 28 on Sonnet 5&#x27;s card to the cent: $2 in, $0.20 cache hit, $10 out, which is also GPT-6 Sol&#x27;s. Anthropic says…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Claude Opus 5.5 lists at exactly twice GPT-6 Sol. Run both flat out and Opus costs 5.6x as much; run Opus at its own default and it outscores Sol&#x27;s best setting for 5% more money, and past 272K tokens it is the cheaper bill." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/claude-opus-5-5-vs-gpt-6-sol-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">September 28, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Opus 5.5 lists at exactly twice GPT-6 Sol. Run both flat out and Opus costs 5.6x as…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic and OpenAI shipped their new mid-price flagships about 90 minutes apart on September 22. Opus 5.5 is $4 in, $0.20 cache hit, $20…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="OpenAI put a price on GPT-Rosalind for the first time: $5, $0.50 and $25, which is Claude Opus 5&#x27;
1s card to the cent and $5 under the GPT-5.5 it is built on. The meter does not start until October 5, and there is still no page saying how much context the money buys." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/gpt-rosalind-pricing-billing-october-5"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-rosalind-pricing-billing-october-5-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 15, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI put a price on GPT-Rosalind for the first time: $5, $0.50 and $25, which is Claude…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GPT-Rosalind ran for 172 days without a rate card. On September 8 the API changelog called it generally available through the trusted-access…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Anthropic counted 189.9 million distillation exchanges across five Chinese labs and printed no token count and no dollar figure. At the Opus card the campaign is worth between $5.7M and $40M, and every 
1Kimi request Moonshot relayed to Opus would have lost 40 cents on the dollar if anyone had paid for it." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/kimi-claude-opus-routing-distillation-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fkimi-claude-opus-routing-distillation-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">September 14, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Kimi</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic counted 189.9 million distillation exchanges across five Chinese labs and…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic&#x27;s September 10 threat report gives five per-lab counts of &#x27;exchanges observed&#x27; against Claude, over 151 million for Alibaba, 23…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">13 min read</span></div></a><a title="OpenAI says the Agents API has no additional fees, and it does not. The sandbox every hosted session runs in bills at a container card whose rates have not moved since March, on a memory tier you cannot pick and a clock OpenAI has not said when it starts." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/openai-agents-api-hosted-sandbox-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fopenai-agents-api-hosted-sandbox-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">September 13, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">OpenAI</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI says the Agents API has no additional fees, and it does not. The sandbox every…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">The Agents API went into public beta on September 10 with one pricing sentence: &#x27;you simply pay for the tokens and tools your agents use.&#x27;…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">15 min read</span></div></a><a title="Sakana priced Fugu Max at $2 and $6, which is Qwen3.8 Max&#x27;s card to the cent, and says the output line is 40% to 60% under Sonnet 5, Terra and Kimi K3. The tokens billed at that rate include every internal call the orchestrator makes, and Sakana publishes neither the count nor the models it calls." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/sakana-fugu-max-pricing-orchestration-tokens"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fsakana-fugu-max-pricing-orchestration-tokens-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 12, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Model Release</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Sakana priced Fugu Max at $2 and $6, which is Qwen3.8 Max&#x27;s card to the cent, and says the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Fugu Max went on sale September 11 at $2.00 input, $6.00 output and $0.25 cached input per million tokens, flat to 1M context, as a new line…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">14 min read</span></div></a><a title="OpenAI priced GPT-Live-1 at $0.05 a minute, the number Vapi charges to host a voice agent with no model in it. The meter runs through silence, hold music and every second the backend is thinking, and the backend is a second bill." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/gpt-live-1-api-pricing-per-minute"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-live-1-api-pricing-per-minute-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 11, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI priced GPT-Live-1 at $0.05 a minute, the number Vapi charges to host a voice agent…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GPT-Live-1 went generally available in the API on September 10 at $0.05 per minute of session, metered per second with no rounding, on the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a>
1<a title="DeepSeek cut Flash to $0.15 this morning and will bill its Pro tier at the same rate from Monday. For the 96 hours in between, deepseek-v4-pro costs 4.4x more than the model DeepSeek says has already surpassed it." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/deepseek-v4-1-flash-pricing-v4-pro-routing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 10, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">
1DeepSeek cut Flash to $0.15 this morning and will bill its Pro tier at the same rate from…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Correction, September 12: DeepSeek withdrew the September 14 routing on September 11, &#x27;in response to user demand&#x27;, and deepseek-v4-pro…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">13 min read</span></div></a><a title="OpenAI shipped a new image model on the old model&#x27;s rate card and moved every quality setting down one rung. Leave your code on quality: high through the swap and the same picture costs 75% less, which nobody will tell you because no price changed." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/gpt-image-2-5-pricing-cost-per-image"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-image-2-5-pricing-cost-per-image-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 9, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI shipped a new image model on the old model&#x27;s rate card and moved every quality…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GPT Image 2.5 arrived on September 8 with five price lines identical to GPT Image 2, to the cent, on both the Sunburst and Flare snapshots…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Every model measured across both rewrites of the industry&#x27;s most-quoted leaderboard lost between 12.3 and 18.1 points in four days, and not one of them changed. The ruler did, twice, and it moved cost per point by 154% for one model and 290% for another." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/artificial-analysis-index-v4-3-cost-per-point"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fartificial-analysis-index-v4-3-cost-per-point-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">September 8, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Research</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Every model measured across both rewrites of the industry&#x27;s most-quoted leaderboard lost…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Artificial Analysis shipped Intelligence Index v4.2 on September 4 and v4.3 on September 7. Claude Fable 5.1 scored 65.65 before them and…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">13 min read</span></div></a><a title="At 07:00 UTC tomorrow the cheapest model we can price goes up 5.00x, and the number that replaces it is not new. It is the card Inception has charged for Mercury 2 since March, with a fifth off the input line and nothing off the output line." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/mercury-2-5-pricing-discount-expiry"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmercury-2-5-pricing-discount-expiry-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">September 7, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Mercury</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">At 07:00 UTC tomorrow the cheapest model we can price goes up 5.00x, and the number that…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Mercury 2.5 has been selling since August 31 at $0.04 and $0.15 per million tokens. On September 8 it becomes $0.20 and $0.75. The discount…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Every comparison of an LLM against a document parser is run on input tokens. Input is the half of the bill the parser already includes, and putting the output back turns the cheapest model on the market from 7.75x cheaper than the going page rate into twice its price." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/document-parsing-api-cost-per-page"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdocument-parsing-api-cost-per-page-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">September 6, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Research</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Every comparison of an LLM against a document parser is run on input tokens. Input is the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Cohere shipped Parse 5 on August 27 at $1.50 per 1,000 pages. AWS Textract charges $1.50 per 1,000 pages. Azure charges $1.50 and has since…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">13 min read</span></div></a><a title="Three labs shipped a security-gated model in three days. Anthropic published a full rate card for one its own cyber programme cannot sell you yet, Google published no number at all, and OpenAI published a pointer." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/mythos-5-1-daybreak-cyber-model-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmythos-5-1-daybreak-cyber-model-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">September 5, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Industry</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Three labs shipped a security-gated model in three days. Anthropic published a full rate…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Claude Mythos 5.1 landed September 1, Gemini 3.8 Flash Cyber September 2, and OpenAI&#x27;s $1 billion Daybreak commitment September 3. Three…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="GPT-6 Astra&#x27;s rate card is Claude Fable 5&#x27;s rate card, to the cent, on every line both companies publish. Anthropic moved one of those lines two days before Astra shipped, and it is now the only line where the two flagships disagree." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/gpt-6-astra-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-6-astra-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 4, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-6 Astra&#x27;s rate card is Claude Fable 5&#x27;s rate card, to the cent, on every line both…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI shipped GPT-6 Astra on September 3 at $10.00 per million input tokens, $1.00 cached, $12.50 for a cache write and $50.00 output…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">13 min read</span></div></a><a title="Gemini 3.8 Flash arrives on an introductory price that is not counted from its introduction. It expires December 31 like the other two models on it, so the newest Flash gets 121 days of the discount and the one before it got 141." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/gemini-3-8-flash-introductory-price-expiry"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-8-flash-introductory-price-expiry-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 3, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini 3.8 Flash arrives on an introductory price that is not counted from its…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google shipped its third Flash model in six weeks on September 2, at $0.75 per million input tokens and $3.75 per million output. Gemini 3.7…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Claude Fable 5.1 charges what Fable 5 charged on every line of the rate c
1ard except one. That one is the cache read, and it is the first time Anthropic has priced a cache hit at anything other than a tenth of input." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/claude-fable-5-1-cache-read-price-cut"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-fable-5-1-cache-read-price-cut-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">September 2, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Fable 5.1 charges what Fable 5 charged on every line of the rate card except one…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic shipped Fable 5.1 and Mythos 5.1 on September 1 and left almost the whole card alone: $10.00 input, $50.00 output, $12.50 and…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Four companies sell Grok 4.6 and all four print $2.00 and $6.00. The whole difference between them is what happens at 200,000 tokens, and Microsoft&#x27;s answer is to not sell you the 300,000 tokens after it." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/grok-4-6-long-context-cloud-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-4-6-long-context-cloud-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">August 30, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Grok</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Four companies sell Grok 4.6 and all four print $2.00 and $6.00. The whole difference…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">xAI, Google, Amazon and Microsoft all list Grok 4.6 at $2.00 per million input tokens, $0.50 cached and $6.00 output. Copy those three…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Tencent priced its new flagship at 6 yuan per million input tokens and printed $0.834 next to it. That conversion uses 7.196 to the dollar, the market closed Friday at 6.73, and the gap is why every catalogue now says Tencent raised its price 6.32x when it raised it exactly 6." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/tencent-hy4-preview-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Ftencent-hy4-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 29, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Model Release</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Tencent priced its new flagship at 6 yuan per million input tokens and printed $0.834 next…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Hy4 preview landed on Thursday at 06:09 UTC: 770B parameters with 49B active, a 1,048,576-token window, Apache 2.0 weights, and one seller…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Eight AI API discounts expire on a published date between September 7 and January 1. Half of them are video models nobody is tracking, the loudest one is the smallest, and a ninth that everybody lists has no end date at all." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/llm-api-price-increases-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fllm-api-price-increases-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">August 28, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Guide</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Eight AI API discounts expire on a published date between September 7 and January 1. Half…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Introductory pricing has become the normal way to launch a model, so a growing share of the rates in your spreadsheet are offers with a…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">14 min read</span></div></a><a title="Two models called Flash arrived five and a half hours apart yesterday. One of them looks 2.13 times cheaper, and on the only workload anybody has measured they bill thirty cents apart." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group flex" href="/blog/glm-5-3-flash-vs-qwen3-8-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fglm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">August 27, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GLM</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Two models called Flash arrived five and a half hours apart yesterday. One of them looks…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Z.ai listed GLM-5.3-Flash at 13:59 UTC on August 26 and Alibaba listed Qwen3.8-Flash at 19:37. Every tracker shows the first at $0.075 per…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Three models charge exactly $2.00 per million input tokens. The same 4K screenshot costs $2.24, $9.57 and $19.58 per thousand on them, and the dearest of the three is a default setting you can turn off in one line." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/vision-api-cost-per-image"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fvision-api-cost-per-image-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">August 26, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Comparison</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Three models charge exactly $2.00 per million input tokens. The same 4K screenshot costs…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Every pricing page quotes dollars per million tokens and almost none of them say how many tokens a picture is. We collected the counting…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Localizing a million characters into four languages costs $0.48 on Tencent&#x27;s new translation card and $80.00 on Google&#x27;s. Switch on the glossary feature Tencent advertises and 3.02x of that advantage becomes 1.07x." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/hy-mt2-pricing-vs-google-translate"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fhy-mt2-pricing-vs-google-translate-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">August 25, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Comparison</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Localizing a million characters into four languages costs $0.48 on Tencent&#x27;s new…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">
1Tencent put its Hy-MT2 translation family on a metered API last week, three months after releasing the weights under Apache 2.0. We counted…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Ox Alpha bills $0 today. Its listing carries a setting that only two of OpenRouter&#x27;s 422 models share, both of them GLM-5.3, and that setting is what made GLM-5.3 cost 55% more per task than GLM-5.2 on an identical rate card." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/ox-alpha-stealth-model-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fox-alpha-stealth-model-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 24, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Model Release</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Ox Alpha bills $0 today. Its listing carries a setting that only two of OpenRouter&#x27;s 422…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">An unattributed model appeared on OpenRouter on August 20 at 20:04 UTC priced at nothing, and the weekend went to guessing which lab owns…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="OpenAI cut GPT-5.6 Sol to exactly 0.8 times Claude Opus 5 on every line it sells. Azure never applied the cut, so identical weights now trade at eight prices, and the cheapest one has an expiry date." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-6-sol-price-cut"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-6-sol-price-cut-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">August 23, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI cut GPT-5.6 Sol to exactly 0.8 times Claude Opus 5 on every line it sells. Azure…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI dropped GPT-5.6 Sol on August 21 under a headline of &quot;over 20%&quot;, which undersells it on output and oversells it as permanent. Input…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="GLM-5.3 bills the same $1.40 and $4.40 that GLM-5.2 and GLM-5.1 billed, and finishing a task still costs 55% more than it did. The rate card is the wrong number to be watching." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/glm-5-3-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fglm-5-3-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 22, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GLM</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GLM-5.3 bills the same $1.40 and $4.40 that GLM-5.2 and GLM-5.1 billed, and finishing a…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Z.ai put a per-token price on GLM-5.3 on August 18, four days after the model arrived reachable only through a subscription, and the price…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Claude&#x27;s new browser tool bills about 6,610 input tokens before it reads a word of your prompt. That is five times the computer-use beta&#x27;s floor, and a single line of JSON takes 90% of it back." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-browser-use-tool-token-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-browser-use-tool-token-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">August 21, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude&#x27;s new browser tool bills about 6,610 input tokens before it reads a word of your…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic made computer use generally available on August 19 and launched a browser tool beside it, publishing the token overhead for both…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Bedrock sells GPT-5.6 Sol at exactly OpenAI&#x27;s list price and also at 1.10x it. Which one you pay comes down to a single table row, and getting approved for OpenAI&#x27;s cyber program deletes that row from your card." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-6-bedrock-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-6-bedrock-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">August 18, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Bedrock sells GPT-5.6 Sol at exactly OpenAI&#x27;s list price and also at 1.10x it. Which one…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">AWS publishes five Bedrock model cards for GPT-5.6 and only three of them have a cheap row. Ordinary GPT-5.6 Sol 
1carries three routing…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="Terminal-Bench 3.0 publishes what every run cost, which almost no other leaderboard does. Two of its ten rows are billed at a card OpenAI retired on July 30, and repricing them makes the ninth-place model the cheapest per solved task by 3.5x." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/terminal-bench-3-cost-per-solved-task"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fterminal-bench-3-cost-per-solved-task-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">August 17, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Research</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Terminal-Bench 3.0 publishes what every run cost, which almost no other leaderboard does…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Agent leaderboards almost never tell you what the run cost. This one has a COST column and a TOKENS column next to the score, split per row…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="DeepSeek said the increase would be significant. It is 1.80x off-peak and 3.59x at peak, and only one of those two numbers fits inside the room we measured eight days ago." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-new-pricing-peak-off-peak"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-new-pricing-peak-off-peak-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">August 16, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek said the increase would be significant. It is 1.80x off-peak and 3.59x at peak…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">At 16:00 UTC today DeepSeek&#x27;s rate card split in two. V4-Flash goes from a flat $0.14 and $0.28 per million tokens to $0.22 and $0.66 for…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="Grok 4.6 costs exactly what Grok 4.5 costs on input, on output, and at the cliff. The only line that moved is cached input, up 67%, and that is the line an agent loop actually lives on." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/grok-4-6-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-4-6-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 15, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Grok</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Grok 4.6 costs exactly what Grok 4.5 costs on input, on output, and at the cliff. The only…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">
1xAI shipped Grok 4.6 on August 12 and put it on the rate card of the model it succeeds. Input $2.00, output $6.00, a 500,000 token window…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Google cut Gemini 3.6 Flash in half on Thursday and launched Gemini 3.7 Flash at the same two numbers. The 50% is real, the saving is zero, and every line on both cards doubles on January 1." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-3-7-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-7-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 14, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Google cut Gemini 3.6 Flash in half on Thursday and launched Gemini 3.7 Flash at the same…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Gemini 3.7 Flash went GA on August 13 at $0.75 input and $3.75 output per million tokens, and the coverage all repeated the same framing…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Meta gave Muse Glimmer&#x27;s weights away yesterday and exactly one company sells it. $0.35 and $1.50 is not a market price, it is Together AI&#x27;s price, and the only thing testing it is a 15.9 GB file you can download instead." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/muse-glimmer-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmuse-glimmer-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 11, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Model Release</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Meta gave Muse Glimmer&#x27;s weights away yesterday and exactly one company sells it. $0.35…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Meta shipped a 30B dense model under Apache 2.0 on August 10, its first open weights in more than a year, and named twelve launch partners…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Imagen 4 stops answering on August 17. Google&#x27;s pages send you to two different replacements and one of them dies six weeks later. The model that costs less than Imagen 4 and has no end date of its own is named in neither." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/imagen-4-shutdown-gemini-3-1-flash-image-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fimagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">August 10, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Guide</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Imagen 4 stops answering on August 17. Google&#x27;s pages send you to two different…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Three endpoints go dark next Monday, and the retirement changes the billing unit rather than just the number. Imagen 4 sold an image for a…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">13 min read</span></div></a><a title="On August 1 we wrote that nobody was going to bill you $20 per million input tokens. Four days later OpenAI let Fast mode accept long prompts, and now somebody will." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-6-long-context-fast-mode-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-6-long-context-fast-mode-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">August 9, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">On August 1 we wrote that nobody was going to bill you $20 per million input tokens. Four…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI&#x27;s changelog for August 5 is one sentence long and mentions no price: Fast mode now supports long-context requests for GPT-5.6 Sol…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Anthropic will now stop an agent session at a number you choose, written in whole cents as a string. That number is metered at list price rather than the rate you pay, which makes the cap tighter than your invoice and looser than one request already in flight." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-session-budgets-cost-cap"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-session-budgets-cost-cap-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">August 8, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic will now stop an agent session at a number you choose, written in whole cents as…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Session budgets shipped for Claude Managed Agents on August 7. Set budget.max_list_cost.amount to &quot;2500&quot; and the session stops at $25, which…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="DeepSeek says a significant price increase is coming and will not say how significant. We measured the room it has: 2.14x before anything cheaper exists, 3.20x if you cache." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-api-price-increase-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-api-price-increase-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">August 8, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek says a significant price increase is coming and will not say how significant. We…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">A three-sentence notice went up on DeepSeek&#x27;s pricing page on August 6, as footnote number two under the rate table. No percentage, no…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Ling-3.0-flash sells for $0.021, $0.06 and $0.075 per million input tokens right now. Same weights, same week, and the identical benchmark run bills $20.70 or $72.71 depending only on who you buy it from." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/ling-3-0-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fling-3-0-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 7, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Model Release</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">
1Ling-3.0-flash sells for $0.021, $0.06 and $0.075 per million input tokens right now. Same…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Ant Group put a 124B MoE on the API on July 23 and did not open the weights until August 2, one day before the free trial expired. What…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="Meta will cut your API bill 22x for permission to train on your prompts. The rate that buys is $0.10 in and $0.20 out, which is precisely what Poolside&#x27;s Laguna S 2.1 already sells for with nothing attached." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/muse-spark-1-2-contributor-tier-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmuse-spark-1-2-contributor-tier-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">August 6, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Industry</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Meta will cut your API bill 22x for permission to train on your prompts. The rate that…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Muse Spark 1.2 shipped on August 5 with a second model ID beside it. muse-spark-1.2-contributor bills $0.10 input, $0.002 cached input and…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="grok-voice-latest moved to Think Fast 2.0 this morning, so unchanged code now bills 60% more per minute. The sentence before the price reads &quot;we believe pricing should be predictable and transparent.&quot;" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/grok-voice-think-fast-2-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-voice-think-fast-2-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 5, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Grok</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">grok-voice-latest moved to Think Fast 2.0 this morning, so unchanged code now bills 60%…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">xAI repointed the grok-voice-latest alias today, taking anyone who used it from $0.05 a minute of audio to $0.08. That is $3.00 an hour…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">13 min read</span></div></a><a title="Qwen3.8-Max prices output 60% under Kimi K3. On the same benchmark suite the bill came in 11% lower, and the $2 sticker is not on any page Alibaba owns." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-8-max-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-8-max-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 4, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3.8-Max prices output 60% under Kimi K3. On the same benchmark suite the bill came in…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Alibaba took its 2.4T-parameter flagship to general availability on August 3 and every gateway now quotes $2 input and $6 output per…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a>
1<a title="Qwen3.7 Flash lists at $0.03 a million. One token past 32K, the identical request bills 3.3x more." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-7-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-7-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 3, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3.7 Flash lists at $0.03 a million. One token past 32K, the identical request bills…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Alibaba priced its newest cheap tier at $0.03 input and $0.13 output, which is the lowest sticker on any 1M-context model you can call…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="DeepSeek kept the price at $0.14 and added ten index points. Eleven models now tie on intelligence, and the bill for proving it runs from $72 to $1,061." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-flash-0731-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-flash-0731-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">August 2, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek kept the price at $0.14 and added ten index points. Eleven models now tie on…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">On July 31 DeepSeek pushed a new build behind an endpoint that already existed, kept the model ID, kept the architecture and kept every…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="OpenAI and Anthropic both charge exactly double for speed. One of them tells you how much speed you get, and n
1o benchmark on earth is allowed to check either claim." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/llm-fast-mode-latency-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fllm-fast-mode-latency-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">August 1, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Industry</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI and Anthropic both charge exactly double for speed. One of them tells you how much…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Latency stopped being a capacity commitment and became a per-request purchase in the space of eight days. Anthropic closed Priority Tier to…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="OpenAI cut GPT-5.6 Luna by 80% and left Sol untouched. That is a 25x spread inside one model family, and it shrinks to 18x the moment you measure real work." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-6-luna-price-cut"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-6-luna-price-cut-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">July 31, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI cut GPT-5.6 Luna by 80% and left Sol untouched. That is a 25x spread inside one…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">
1On July 30 Luna went from $1.00 and $6.00 per million tokens to $0.20 and $1.20, an identical 80% off input, output and cached input. Terra…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Anthropic says one cryptographic attack cost it about $100,000 in API time. Its own price list says that is impossible." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/anthropic-100k-cryptography-agent-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fanthropic-100k-cryptography-agent-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">July 30, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Anthropic</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic says one cryptographic attack cost it about $100,000 in API time. Its own price…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Labs almost never publish what a task cost them. On July 28 Anthropic did, twice: roughly $100,000 per result, one billion output tokens…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Anthropic cancelled the Claude Sonnet 5 price increase. $2 and $10 are the standard rates now, and September 1 passes without a change." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-sonnet-5-price-increase-september-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-sonnet-5-price-increase-september-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">July 29, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic cancelled the Claude Sonnet 5 price increase. $2 and $10 are the standard rates…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Updated August 16. Anthropic has withdrawn the increase it had scheduled for September 1: its pricing docs now state that the $2 and $10…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="Kimi K3&#x27;s weights went up for free on Monday and every host still matches Moonshot&#x27;s $3/$15 on demand. That is what happens when the smallest machine that boots a model is eight B300s." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/kimi-k3-open-weights-self-hosting-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fkimi-k3-open-weights-self-hosting-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">July 28, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Kimi</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Kimi K3&#x27;s weights went up for free on Monday and every host still matches Moonshot&#x27;s…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Open weights normally start a price war. Moonshot published the full Kimi K3 checkpoint on July 27 and ten providers now serve it, none of…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Poolside is selling a 118B coding model for 10 cents in and 20 cents out. It also published how many tokens a task burns, which is the number that decides your bill." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/poolside-laguna-s-2-1-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fpoolside-laguna-s-2-1-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 27, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Model Release</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Poolside is selling a 118B coding model for 10 cents in and 20 cents out. It also…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Laguna S 2.1 shipped July 21 with open weights and a rate card of $0.10 input and $0.20 output per million tokens, a fiftieth of GPT-5.6 Sol…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="Google&#x27;s Lite tier keeps getting less lite. A year of releases took Flash-Lite output from 40 cents to $2.50." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-3-5-flash-lite-price-increase"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-5-flash-lite-price-increase-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">July 26, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Google&#x27;s Lite tier keeps getting less lite. A year of releases took Flash-Lite output from…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Gemini 3.5 Flash-Lite shipped July 21 at $0.30 input and $2.50 output per million tokens, against $0.25 and $1.50 for the model it replaces…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="DeepSeek switched off deepseek-chat and deepseek-reasoner yesterday. The rename is one line; the reasoning default it flips on is what moves your bill." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-chat-deprecated-v4-migration"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-chat-deprecated-v4-migration-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">July 25, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek switched off deepseek-chat and deepseek-reasoner yesterday. The rename is one…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">On July 24 at 15:59 UTC, DeepSeek retired its two oldest API model names, and requests to deepseek-chat and deepseek-reasoner now fail…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Anthropic shipped Opus 5 at the same $5/$25 it charged for 4.8. The story is what that price now buys: half the Fable 5 bill at close to Fable 5 scores." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-opus-5-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-opus-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 25, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic shipped Opus 5 at the same $5/$25 it charged for 4.8. The story is what that…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Claude Opus 5 landed July 24 with a rate card copied from Opus 4.8, $5 input and $25 output per million tokens, unchanged for a fourth Opus…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Every big lab now ships a dedicated coding model. Their output prices run from $0.80 to $14 a million, the same job priced 17x apart." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/ai-coding-model-pricing-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fai-coding-model-pricing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">July 24, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Comparison</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Every big lab now ships a dedicated coding model. Their output prices run from $0.80 to…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Once you filter the July 2026 rate cards down to the models sold specifically for coding agents, the label stops meaning anything about…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Claude Opus 4.8 just slipped off the LLM value frontier. A $3 model scores higher on the intelligence index and costs a quarter less to run, and it is not the only flagship the math has passed." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/llm-value-frontier-july-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fllm-value-frontier-july-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">July 23, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Research</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Opus 4.8 just slipped off the LLM value frontier. A $3 model scores higher on the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Rank every current model by Artificial Analysis&#x27;s Intelligence Index and by what it actually costs to run that eval suite, and the July 2026…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Alibaba says Qwen3.8 Max is the world&#x27;
1s second-best model. It won&#x27;t publish a benchmark, an active-parameter count, or a per-token price." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-8-max-preview-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-8-max-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 22, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Alibaba says Qwen3.8 Max is the world&#x27;s second-best model. It won&#x27;t publish a benchmark…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Qwen3.8 Max previewed July 19 at WAIC Shanghai, two days after Kimi K3 went open weights, and Alibaba called it second only to Claude Fable…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Google cut Gemini Flash&#x27;s output price and taught it to say less. Do both at once and the same answer costs about a third less." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-3-6-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-6-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 21, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Google cut Gemini Flash&#x27;s output price and taught it to say less. Do both at once and the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Gemini 3.6 Flash shipped July 21 with output dropped from $9 to $7.50 per million and a claim it uses 17% fewer output tokens than 3.5…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Mira Murati&#x27;s lab open-sourced a frontier-class model. The strange part is how hard it is to just buy tokens for it." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/inkling-thinking-machines-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Finkling-thinking-machines-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 20, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Model Release</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Mira Murati&#x27;s lab open-sourced a frontier-class model. The strange part is how hard it is…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Inkling landed July 15 as the first open model from Thinking Machines: 975B parameters, Apache 2.0, and the top Artificial Analysis score of…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Every major LLM API now knocks about 90% off the tokens you cache. The bill you don&#x27;t see coming is the fee some providers charge just to put them there." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/prompt-caching-pricing-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fprompt-caching-pricing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">July 19, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Guide</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Every major LLM API now knocks about 90% off the tokens you cache. The bill you don&#x27;t see…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Cached input reads have quietly standardized near a tenth of the base price across OpenAI, Anthropic, and Google, and DeepSeek goes further…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="American teams now route a third of their tokens to Chinese models to save money. The plot twist in July&#x27;s pricing is that China&#x27;s best model costs as much as the US flagships it beats." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/us-vs-china-llm-api-cost-scoreboard"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fus-vs-china-llm-api-cost-scoreboard-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">July 18, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Comparison</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">American teams now route a third of their tokens to Chinese models to save money. The plot…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">US companies have made up more than 30% of Chinese-model token traffic on OpenRouter every week since February, and the reason is the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="For two years the story out of China was that prices only fall. Moonshot just tripled its own rate card with Kimi K3, and the uncomfortable part is that the model is good enough to charge it." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/kimi-k3-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fkimi-k3-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 17, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Kimi</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">For two years the story out of China was that prices only fall. Moonshot just tripled its…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Kimi K3 lists at $3/$15 per million tokens against K2.6&#x27;s $0.95/$4.00, a 3.16x input and 3.75x output increase under three months apart. An…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="A Kuaishou team just priced 94 percent of Opus 4.8&#x27;s coding score at a seventh of the cost. The two things holding KAT-Coder v2.5 back are that you can&#x27;t download it and it stumbles in the terminal." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/kat-coder-v2-5-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fkat-coder-v2-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 16, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">KAT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">A Kuaishou team just priced 94 percent of Opus 4.8&#x27;s coding score at a seventh of the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Kwaipilot&#x27;s KAT-Coder-Pro v2.5 lists at $0.74/$2.96 per million tokens, with a cheaper Air tier at $0.15/$0.60. On SWE-Bench Pro it scores…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Claude runs five times apart from its cheapest tier to its priciest. The capability gap is nowhere near that wide, so most teams overpay by picking the wrong Claude." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">July 15, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude runs five times apart from its cheapest tier to its priciest. The capability gap is…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic&#x27;
1s lineup runs $1/$5 for Haiku 4.5, $3/$15 for Sonnet 5, and $5/$25 for Opus 4.8 - a clean 5x from floor to ceiling. Priced by the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Grok 4.5 sells the cheapest token, Fable 5 sells the smartest one, and neither is the cheapest way to finish the actual job. You only see that once you stop pricing tokens and start pricing benchmark points." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-6-vs-fable-5-vs-grok-4-5-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">July 13, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Grok 4.5 sells the cheapest token, Fable 5 sells the smartest one, and neither is the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GPT-5.6 Sol ($5/$30), Claude Fable 5 ($10/$50), and Grok 4.5 ($2/$6) span five times over on price but bunch near the top on capability…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Claude Fable 5 is back on subscriptions, but not the way it left. Included access is gone; you now spend metered usage credits at $10 and $50 per million tokens, the priciest rate Anthropic charges. Here is what that actually buys." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-fable-5-usage-credits-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-fable-5-usage-credits-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">July 12, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Fable 5 is back on subscriptions, but not the way it left. Included access is gone…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic pulled Fable 5 from Pro, Max, and Team plans in June on capacity, then brought it back behind metered usage credits at its full…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="The first model Meta ever charged for is priced to win agent work, not coding. At $1.25 and $4.25 Muse Spark 1.1 is the cheapest near-frontier model from a US lab, and the benchmarks it wins tell you exactly what it is for." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/meta-muse-spark-1-1-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmeta-muse-spark-1-1-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 11, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Meta</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">The first model Meta ever charged for is priced to win agent work, not coding. At $1.25…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Meta opened its first paid API on July 9 with Muse Spark 1.1 at $1.25 input and $4.25 output per million tokens, roughly a quarter of what…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Grok 4.5 undercuts Opus 4.8 by two-thirds and burns fewer tokens getting there. The catches are a context window that shrank to 500K and a surcharge xAI won&#x27;t put a number on." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/grok-4-5-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-4-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 10, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Grok</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Grok 4.5 undercuts Opus 4.8 by two-thirds and burns fewer tokens getting there. The…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">xAI shipped Grok 4.5 on July 8 at $2 input and $6 output per million tokens. Against Opus 4.8, Fable 5, and GPT-5.6 Sol it runs 68 to 84…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Meituan&#x27;s LongCat-2.0 costs 75 cents a million and tops the open coder benchmarks. You can&#x27;t download it yet, and nobody outside Meituan has rerun the scores." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/meituan-longcat-2-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmeituan-longcat-2-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 4, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Meituan</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Meituan&#x27;s LongCat-2.0 costs 75 cents a million and tops the open coder benchmarks. You…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">LongCat-2.0 went public June 30 at $0.75 input and $2.95 output per million tokens, with a launch promo cutting that to $0.30/$1.20. It…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="OpenAI built a chip to make inference cheaper. That is a different thing from making your API bill cheaper." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/custom-inference-chips-api-prices"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fcustom-inference-chips-api-prices-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">July 3, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Industry</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI built a chip to make inference cheaper. That is a different thing from making your…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Jalapeño, OpenAI&#x27;s first custom inference processor with Broadcom, landed June 24 alongside Google&#x27;s Ironwood TPUs and AWS Trainium 3. The…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="OpenAI split GPT-5.6 into three tiers and priced the flagship exactly where GPT-5.5 already sat. The tier worth your attention is the cheaper one in the middle." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-6-sol-terra-luna-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-6-sol-terra-luna-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 2, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI split GPT-5.6 into three tiers and priced the flagship exactly where GPT-5.5…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GPT-5.6 arrived June 26 as Sol, Terra, and Luna at $5/$30, $2.50/$15, and $1/$6 per million tokens. Sol, the flagship, costs to the cent…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude Sonnet 5 lands level with Opus 4.8 on an independent benchmark and asks 60% less for it. Two footnotes decide whether the bargain survives September." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-sonnet-5-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-sonnet-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">July 1, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Sonnet 5 lands level with Opus 4.8 on an independent benchmark and asks 60% less…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic shipped Sonnet 5 on June 30 at $2/$10 per million tokens, an introductory rate that runs through August 31 before rising to…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="DeepSeek V4 will charge double during its busiest hours. Whether you ever pay the surcharge comes down to your timezone." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-peak-hour-surge-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-peak-hour-surge-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">June 30, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek V4 will charge double during its busiest hours. Whether you ever pay the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">From the mid-July V4 launch, DeepSeek doubles its API rates during two daily windows - 9am to 12pm and 2pm to 6pm Beijing time. It is the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="The US gated its two newest flagships in a day. The models you can still call are open weights." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/us-gated-frontier-models-open-weight-alternatives"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fus-gated-frontier-models-open-weight-alternatives-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">June 29, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Industry</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">The US gated its two newest flagships in a day. The models you can still call are open…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">On June 26 the US held OpenAI&#x27;s GPT-5.6 to government-approved partners and let Anthropic re-open Claude Mythos 5 to a short list of trusted…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Doubao 2.1 Pro undercuts Claude Opus by 80%. The price is real, but it is quoted in yuan and you cannot call it yet." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/bytedance-seed-2-1-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fbytedance-seed-2-1-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 28, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">ByteDance</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Doubao 2.1 Pro undercuts Claude Opus by 80%. The price is real, but it is quoted in yuan…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">
1ByteDance launched Seed 2.1 (Doubao 2.1) on June 24 with Pro and Turbo tiers priced only in yuan: roughly $0.88 input and $4.41 output per…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Nex-N2-Pro scores like a frontier coder and bills like a budget one. The free weights are the real story." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/nex-n2-pro-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fnex-n2-pro-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 26, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Nex</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Nex-N2-Pro scores like a frontier coder and bills like a budget one. The free weights are…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">A little-known lab, Nex AGI, shipped a 397B open-weight model that posts 80.8 on SWE-Bench Verified and costs about a tenth of GPT-5.5…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Google promised Gemini 3.5 Pro in June. It is late, has no price, and no benchmarks." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-3-5-pro-release-date-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-5-pro-release-date-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">June 25, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Google promised Gemini 3.5 Pro in June. It is late, has no price, and no benchmarks.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google teased Gemini 3.5 Pro at I/O on May 19 with a 2M context window and Deep Think, then went quiet. No rate card, no benchmark sheet…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude won&#x27;t bill you for a refusal. A fallback credit stops you paying twice." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-refusal-billing-fallback-credit"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-refusal-billing-fallback-credit-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">June 24, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude won&#x27;t bill you for a refusal. A fallback credit stops you paying twice.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Claude Fable 5 has been dark for twelve days, but the billing rules it shipped with outlast it. Anthropic does not charge you for a refused…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a>
1<a title="Three frontier coders now cost under a dollar a million. The cheapest sticker is not the cheapest bill." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">June 22, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Three frontier coders now cost under a dollar a million. The cheapest sticker is not the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">DeepSeek V4-Pro, Qwen3.7 Plus, and MiniMax M3 all undercut $0.60/M input. Sort by input price and Qwen wins; run an actual coding month and…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="GLM-5.2 costs a fifth of GPT-5.5 and says it codes better. One of those claims you can check." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/glm-5-2-vs-gpt-5-5-coding-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fglm-5-2-vs-gpt-5-5-coding-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">June 21, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GLM</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GLM-5.2 costs a fifth of GPT-5.5 and says it codes better. One of those claims you can…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Z.ai&#x27;s open-weight GLM-5.2 undercuts GPT-5.5 by roughly 5x per token and self-reports a coding-benchmark win on top. The price is on the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="GPT-5.6 is probably days away. Here is what the leaks confirm and what your bill might do." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-6-release-date-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-6-release-date-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 20, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.6 is probably days away. Here is what the leaks confirm and what your bill might do.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">A gpt-5.6 ID leaked from OpenAI&#x27;
1s own Codex backend, the chief scientist reportedly called it a meaningful improvement, and the release-date…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Anthropic charges double and keeps winning. Now OpenAI might blink on price." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/openai-vs-anthropic-price-war-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fopenai-vs-anthropic-price-war-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">June 19, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">OpenAI</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic charges double and keeps winning. Now OpenAI might blink on price.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI and Anthropic filed to go public a week apart, then OpenAI was reported to be weighing token price cuts to slow Anthropic down. The…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude Fable 5 lasted three days. Every alternative is cheaper." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/fable-5-mythos-5-suspension-alternatives"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Ffable-5-mythos-5-suspension-alternatives-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">June 18, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Fable</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Fable 5 lasted three days. Every alternative is cheaper.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic disabled Claude Fable 5 and Mythos 5 on June 12, 2026 under a US export-control order, three days after launch. Fable 5 was the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="GLM 5.2 and Kimi K2.7 Code shipped five days apart. You still cannot benchmark one against the other." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/glm-5-2-vs-kimi-k2-7-code"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fglm-5-2-vs-kimi-k2-7-code-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">June 17, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GLM</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GLM 5.2 and Kimi K2.7 Code shipped five days apart. You still cannot benchmark one against…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Two Chinese labs put out open-weight coding models in the same week. Kimi K2.7 Code lists at $0.95/$4.00 per million tokens, GLM 5.2 at…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">6 min read</span></div></a><a title="GLM 5.2 has no token price and no benchmarks. The whole pitch is a $10 subscription." 
1class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/glm-5-2-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fglm-5-2-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 16, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GLM</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GLM 5.2 has no token price and no benchmarks. The whole pitch is a $10 subscription.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Z.ai shipped GLM 5.2 on June 13 with a 1M-token context and a coding-first pitch, but no per-token API rate and not a single published…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude Opus 4 retires today. Its replacement costs a third as much." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-sonnet-4-opus-4-retirement-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-sonnet-4-opus-4-retirement-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">June 15, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Opus 4 retires today. Its replacement costs a third as much.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Claude Sonnet 4 and Opus 4 both retire June 15, 2026 on the Claude API, with calls failing hard after the cutoff. The Sonnet path is a flat…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Step 3.7 Flash reads images and codes like a mid-tier model, for an eighth of Gemini Flash&#x27;s price" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/step-3-7-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fstep-3-7-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 14, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Step</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Step 3.7 Flash reads images and codes like a mid-tier model, for an eighth of Gemini…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">StepFun shipped Step 3.7 Flash on May 29, an open-weight 198B vision MoE that lists at $0.20 in and $1.15 out per million tokens, roughly an…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Kimi K2.7 Code costs exactly what K2.6 did. The rest you take on faith." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/kimi-k2-7-code-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fkimi-k2-7-code-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 13, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Kimi</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Kimi K2.7 Code costs exactly what K2.6 did. The rest you take on faith.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Moonshot shipped Kimi K2.7 Code on June 12 at $0.95 in and $4 out per million tokens, the same rate card as the model it replaces, with only…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="DiffusionGemma generates 4x faster than its own sibling and scores worse on every benchmark Google published." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/diffusiongemma-26b-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdiffusiongemma-26b-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 11, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemma</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DiffusionGemma generates 4x faster than its own sibling and scores worse on every…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google shipped DiffusionGemma 26B on June 10, an experimental open-weight model that writes text by denoising a canvas in parallel instead…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude Fable 5 is the most expensive model Anthropic has ever shipped. For two weeks, it&#x27;s also free." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-fable-5-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-fable-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 10, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Fable 5 is the most expensive model Anthropic has ever shipped. For two weeks, it&#x27;s…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic put its Mythos-class intelligence into general release on June 9 as Claude Fable 5, priced at $10 in, $50 out per million tokens…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Xiaomi MiMo UltraSpeed charges 3x for 10x the speed. The catch is you can only rent it for two weeks." 
1class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/xiaomi-mimo-ultraspeed-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fxiaomi-mimo-ultraspeed-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 9, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Xiaomi</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Xiaomi MiMo UltraSpeed charges 3x for 10x the speed. The catch is you can only rent it for…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Xiaomi opened a trial on June 9 for MiMo-V2.5-Pro UltraSpeed, a one-trillion-parameter model it claims runs past 1,000 tokens a second on…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Gemma 4 12B has no API price. Google built it to run on your laptop, not on its meter." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemma-4-12b-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemma-4-12b-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 8, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemma</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemma 4 12B has no API price. Google built it to run on your laptop, not on its meter.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google shipped Gemma 4 12B on June 3, an encoder-free multimodal model that reads text, images, and audio, fits in 16GB of memory, and ships…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Nemotron 3 Ultra has no list price. The same open weights run from $0.37 to $0.60 a million depending on who hosts them." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/nvidia-nemotron-3-ultra-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fnvidia-nemotron-3-ultra-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 7, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">NVIDIA</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Nemotron 3 Ultra has no list price. The same open weights run from $0.37 to $0.60 a…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">NVIDIA shipped Nemotron 3 Ultra 550B on June 4, its biggest open model so far and the top-scoring US open-weights model on the Artificial…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Microsoft&#x27;s MAI-Code-1-Flash matches GPT-5.4 Mini to the cent, then claims a third fewer tokens. You still can&#x27;t call it through an API." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/microsoft-mai-code-1-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmicrosoft-mai-code-1-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 6, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Microsoft</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Microsoft&#x27;
1s MAI-Code-1-Flash matches GPT-5.4 Mini to the cent, then claims a third fewer…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Microsoft shipped MAI-Code-1-Flash at Build on June 2 at $0.75 input and $4.50 output per million tokens, the exact rate as GPT-5.4 Mini…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Qwen3.7 Plus costs a sixth of Max on input, and it can do the one thing Max can&#x27;t: read images" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-7-plus-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-7-plus-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 5, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3.7 Plus costs a sixth of Max on input, and it can do the one thing Max can&#x27;t: read…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Alibaba shipped Qwen3.7 Plus on June 1 at $0.40 input and $1.60 output per million tokens, a sixth of Qwen3.7 Max on input and under a…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="GPT-5.5 on priority costs 2.5x list. Here is what the speed actually buys." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-5-priority-processing-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-5-priority-processing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">June 4, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.5 on priority costs 2.5x list. Here is what the speed actually buys.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI&#x27;s priority serving tier bills GPT-5.5 at $12.50 input and $75 output per million, exactly 2.5x the standard rate, in exchange for a…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="MiniMax M3 claims GPT-5.5-class coding for a tenth of the price. The benchmarks are self-reported and the cheap tier stops at 512K." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/minimax-m3-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fminimax-m3-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">June 2, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">MiniMax</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">MiniMax M3 claims GPT-5.5-class coding for a tenth of the price. The benchmarks are…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">MiniMax M3 went live on June 1 at $0.60 input and $2.40 output per million tokens, with a 50% launch promo cutting it to $0.30/$1.20 for the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="GPT-5.5 has a pricing cliff at 272K tokens. Cross it and the whole request bills double." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-5-long-context-pricing-cliff"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-5-long-context-pricing-cliff-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">June 1, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.5 has a pricing cliff at 272K tokens. Cross it and the whole request bills double.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI prices GPT-5.5 at $5 input and $30 output per million tokens, but only until a request crosses 272K input tokens. Past that line, the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Cohere shipped a 218B Apache 2.0 model that runs on two H100s. The hosted rate matches Command A; the license is the actual news." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/cohere-command-a-plus-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fcohere-command-a-plus-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 31, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Cohere</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Cohere shipped a 218B Apache 2.0 model that runs on two H100s. The hosted rate matches…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Command A+ landed on May 20 as the first Cohere flagship under unrestr
1icted Apache 2.0. The hosted API stays at $2.50 input and $10 output…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Anthropic kept the Opus list price flat for the third release running. The headline is the new Fast mode: $10/$50 at 2.5x speed." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-opus-4-8-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-opus-4-8-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 30, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic kept the Opus list price flat for the third release running. The headline is the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Claude Opus 4.8 shipped on May 28 with standard pricing untouched at $5 input and $25 output per million tokens. The new Fast mode tier at…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Qwen3.7 Max ties Opus 4.7 on intelligence and beats it on agentic coding, at half the input price. The catch: closed weights and no images." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-7-max-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-7-max-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 28, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3.7 Max ties Opus 4.7 on intelligence and beats it on agentic coding, at half the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Alibaba announced Qwen3.7 Max on May 20 at $2.50 input and $7.50 output per million tokens, against $5/$25 on Claude Opus 4.7 and $5/$30 on…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Cursor Composer 2.5 lands one point behind Opus 4.7 on SWE-Bench and bills ten times less. The promo just ended." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/cursor-composer-2-5-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fcursor-composer-2-5-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">May 27, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Cursor</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Cursor Composer 2.5 lands one point behind Opus 4.7 on SWE-Bench and bills ten times less…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Cursor shipped its own coding model on May 18 with a week of double usage to soften the launch, and that promo ended around May 25. The…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="GPT-5.5 Pro lists at $30/$180 per million tokens, and it drops the cache discount that keeps the standard model cheap." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-5-pro-pricing-worth-it"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-5-pro-pricing-worth-it-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">May 25, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.5 Pro lists at $30/$180 per million tokens, and it drops the cache discount that…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI&#x27;s GPT-5.5 Pro costs six times the standard GPT-5.5 before the fine print, and the fine print is where it gets worse: Pro runs on the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Grok Build runs coding agents at $1 in, $2 out. The catch is that xAI published zero benchmarks." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/grok-build-coding-agent-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-build-coding-agent-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 24, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Grok</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Grok Build runs coding agents at $1 in, $2 out. The catch is that xAI published zero…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">
1xAI shipped Grok Build, a terminal coding agent that reads your AGENTS.md and undercuts every rival on price: the grok-build-0.1 model…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="DeepSeek scrapped the May 31 price cliff. The 75% V4-Pro cut is the permanent rate now." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-pro-price-cut-permanent"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-pro-price-cut-permanent-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">May 23, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek scrapped the May 31 price cliff. The 75% V4-Pro cut is the permanent rate now.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Three weeks ago DeepSeek&#x27;s pricing page warned the V4-Pro discount expired May 31, with the rate stepping back up to $1.74/$3.48 per…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Google cut AI Ultra to $100 at I/O. Now all three AI giants charge the exact same $20, $100, $200 ladder." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/google-ai-ultra-vs-chatgpt-pro-vs-claude-max"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgoogle-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">May 22, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Google</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Google cut AI Ultra to $100 at I/O. Now all three AI giants charge the exact same $20…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google added a $100 AI Ultra tier at I/O on May 19 and dropped its old $250 plan to $200, snapping onto the exact $20/$100/$200 ladder…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Your Claude subscription stops paying for agents on June 15. The SDK and claude -p move to a separate credit billed at full API rates." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-agent-sdk-credit-billing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-agent-sdk-credit-billing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">May 21, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Your Claude subscription stops paying for agents on June 15. The SDK and claude -p move to…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic&#x27;
1s email landed May 13: from June 15, 2026, the Claude Agent SDK, claude -p, GitHub Actions, and third-party harnesses like…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Gemini 3.5 Flash costs 3x what Gemini 3 Flash did. Google priced it that way because it beats their own Pro model on agentic work." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-3-5-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-5-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 20, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini 3.5 Flash costs 3x what Gemini 3 Flash did. Google priced it that way because it…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google shipped Gemini 3.5 Flash on May 19 at I/O 2026 with a flat tripling of the Flash rate card: $1.50 input, $9 output, $0.15 cached per…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="xAI quietly swapped Grok 4.3&#x27;s weights for Colossus-2-trained ones and switched on Agent Mode. Same endpoint, same $1.25 input, new build." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/grok-colossus-2-agent-mode-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-colossus-2-agent-mode-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 19, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Grok</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">xAI quietly swapped Grok 4.3&#x27;s weights for Colossus-2-trained ones and switched on Agent…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Musk posted on May 18 that the latest Grok is now running on weights trained partly on Colossus 2, with Agent Mode unlocked for API…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="SubQ 1M-Preview shipped 12M tokens of context, no public rate card, and a $8-vs-$2,600 cost story that does not reconcile." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/subq-1m-preview-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fsubq-1m-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 18, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Model Release</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">SubQ 1M-Preview shipped 12M tokens of context, no public rate card, and a $8-vs-$2,600…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Subquadratic launched SubQ on May 5 with $29M seed funding, a 12M-token research model, and a 1M production model. The headline claim is 95%…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a>
1<a title="Qwen3.6 Max Preview is the first Qwen flagship Alibaba shipped closed. It took SWE-Bench Pro, lost SWE-Bench Verified by omission, and costs 4x what Qwen3.6 Plus does." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-6-max-preview-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-6-max-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 17, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3.6 Max Preview is the first Qwen flagship Alibaba shipped closed. It took SWE-Bench…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Alibaba launched Qwen3.6 Max Preview on April 20 at $1.30 input and $7.80 output per million. The model unseated GLM-5.1 on SWE-Bench Pro…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="Anthropic is raising at $950B, up 2.5x in three months. Every recent move on the Claude price sheet has been a cut. That gap is the whole story." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/anthropic-950b-valuation-claude-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fanthropic-950b-valuation-claude-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">May 16, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Anthropic</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic is raising at $950B, up 2.5x in three months. Every recent move on the Claude…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Bloomberg, Sherwood, and Fortune confirmed May 11-13 that Anthropic is in talks to raise $30-50B at up to $950B valuation. That is 2.5x the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="MiniMax M2.7 lists at $0.30 input, $1.20 output. The GDPval-AA score is the highest open-weight number on the board. The SWE-Bench Verified column is empty." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/minimax-m2-7-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fminimax-m2-7-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 15, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">MiniMax</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">MiniMax M2.7 lists at $0.30 input, $1.20 output. The GDPval-AA score is the highest…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">MiniMax M2.7 ships at $0.30/$1.20 per million on OpenRouter and MiniMax direct, with a ~$0.06 cached input tier. The 1495 GDPval-AA ELO is…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a>
1<a title="Qwen3 Coder Next is still $0.11 per million input. Kimi K2.6 costs 7x more, GPT-5.5 costs 41x more, and the benchmark gaps do not justify either." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-coder-next-vs-frontier-coders-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-coder-next-vs-frontier-coders-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">May 14, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3 Coder Next is still $0.11 per million input. Kimi K2.6 costs 7x more, GPT-5.5 costs…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Three months after release, Qwen3 Coder Next sits at $0.11/$0.80 per million on OpenRouter, $0.30/$1.50 on Alibaba DashScope, and Apache…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="Mercury 2 outputs at 788 tokens per second for $0.75 per million. The diffusion math turns frontier reasoning pricing into a rounding error." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/mercury-2-diffusion-llm-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmercury-2-diffusion-llm-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 13, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Mercury</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Mercury 2 outputs at 788 tokens per second for $0.75 per million. The diffusion math turns…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Inception Labs&#x27; Mercury 2 is the first diffusion-based reasoning LLM. It ships at $0.25 input / $0.75 output per million, measured at 788…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">11 min read</span></div></a><a title="OpenAI&#x27;s three new voice models price three different ways. Here is what an hour actually costs." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/openai-gpt-realtime-2-voice-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fopenai-gpt-realtime-2-voice-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 12, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">OpenAI</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI&#x27;s three new voice models price three different ways. Here is what an hour actually…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GPT-Realtime-2 bills per million tokens ($32/$64 audio, $0.40 cached). Realtime-Translate is $0.034/min flat. The new Whisper costs…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="Tencent&#x27;s Hunyuan HY3 Preview is the cheapest frontier-class model, and it&#x27;s 14 points behind the leaders on coding" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/hunyuan-hy3-preview-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fhunyuan-hy3-preview-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 11, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Hunyuan</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Tencent&#x27;s Hunyuan HY3 Preview is the cheapest frontier-class model, and it&#x27;s 14 points…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Two prices: $0.066/M on OpenRouter, $0.17/M on Tencent Cloud direct. SWE-Bench Verified 74.4%, against GPT-5.5 at 88.7 and Opus 4.7 at 87.6…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="GPT-5.5 vs Opus 4.7 vs Gemini 3.1 Pro: the cheapest one depends entirely on whether you cross 200K tokens" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">May 10, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.5 vs Opus 4.7 vs Gemini 3.1 Pro: the cheapest one depends entirely on whether you…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">On a 50K-token request, Gemini 3.1 Pro is cheapest at $0.22, Opus 4.7 next at $0.50, GPT-5.5 last at $0.55. Past 200K, Gemini steps tier…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="DeepSeek V4-Pro&#x27;s 75% promo ends May 31. After that, the price is 4x what most people are quoting." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-pro-promo-ending-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-pro-promo-ending-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">May 8, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek V4-Pro&#x27;s 75% promo ends May 31. After that, the price is 4x what most people are…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Every V4-Pro article since April 24 has been citing the launch promo, not the steady-state rate. DeepSeek&#x27;s official page now puts the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="GLM-4.7-flash sits at $0.07 input on AWS Bedrock and Vertex. Most coverage skipped this one." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/glm-4-7-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fglm-4-7-flash-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">May 7, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GLM</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GLM-4.7-flash sits at $0.07 input on AWS Bedrock and Vertex. Most coverage skipped this…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">While GLM-5.1 ate every Z.ai headline, GLM-4.7-flash quietly stabilized across AWS Bedrock, Vertex AI, Cerebras, Together, and OpenRouter at…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Mistral Medium 3.5 charges 17x more than DeepSeek V4 Flash and loses the only benchmark they both report" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/mistral-medium-3-5-vs-deepseek-v4-flash"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmistral-medium-3-5-vs-deepseek-v4-flash-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">May 6, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Mistral</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Mistral Medium 3.5 charges 17x more than DeepSeek V4 Flash and loses the only benchmark…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Mistral shipped Medium 3.5 on April 29 at $1.50 / $7.50 per million tokens with two published benchmark numbers. DeepSeek V4 Flash sits at…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Three weeks of Opus 4.7 bills are in. The tokenizer change costs an extra 25 to 37 percent in production." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-opus-4-7-tokenizer-real-world-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-opus-4-7-tokenizer-real-world-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">May 5, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Three weeks of Opus 4.7 bills are in. The tokenizer change costs an extra 25 to 37 percent…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic kept Opus 4.7 at $5/$25 per million tokens but swapped the tokenizer underneath. Three weeks of production data from Finout…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a>
1<a title="GPT-5.5 doubled the per-token price. The 40% efficiency claim does not get OpenAI back to even." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-5-token-efficiency-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-5-token-efficiency-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">May 4, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.5 doubled the per-token price. The 40% efficiency claim does not get OpenAI back to…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI shipped GPT-5.5 at exactly 2x GPT-5.4 pricing and pitched it as a wash because the model uses fewer tokens. The 40% figure traces to…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="GLM-5.1 took SWE-Bench Pro at $1.40/M input. The catch is the small print, not the price." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/glm-5-1-pricing-benchmarks"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fglm-5-1-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 3, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GLM</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GLM-5.1 took SWE-Bench Pro at $1.40/M input. The catch is the small print, not the price.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Z.ai shipped a 754B MoE on April 7 that briefly held SWE-Bench Pro at 58.4 - above GPT-5.4 and Opus 4.6 - while charging less than a third…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Grok 4.3 quietly cut prices 40-60%, then shipped a voice cloner. The pricing math is now hard to ignore." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/grok-4-3-pricing-benchmarks"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-4-3-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">May 2, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Grok</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Grok 4.3 quietly cut prices 40-60%, then shipped a voice cloner. The pricing math is now…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">xAI shipped Grok 4.3 at $1.25/$2.50 per million tokens with a 1M context, 192 tok/s output, and a Custom Voices API. Here is the pricing…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="DeepSeek V4-Flash redrew the budget LLM tier. Here is where Haiku 4.5, GPT-5.4 Nano, and Gemini Flash-Lite now sit." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-flash-vs-haiku-nano-flash-lite"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">May 1, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek V4-Flash redrew the budget LLM tier. Here is where Haiku 4.5, GPT-5.4 Nano, and…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">DeepSeek V4-Flash at $0.14/$0.28 dropped the cheap-tier price floor by 4.5x on output. Eight days in, here is what the four budget-tier…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a>
1<a title="Qwen3-Next-Thinking: the cheapest reasoning model under $1/M output" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-next-thinking-cheapest-reasoning-model"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-next-thinking-cheapest-reasoning-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">April 30, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3-Next-Thinking: the cheapest reasoning model under $1/M output</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">An 80B-param MoE that activates 3B per token, scores 87.8 on AIME25, and costs $0.0975/$0.78 per million tokens. The cheapest…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="OpenAI on AWS Bedrock: what it costs and what actually changed" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/openai-aws-bedrock-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fopenai-aws-bedrock-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 30, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">OpenAI</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI on AWS Bedrock: what it costs and what actually changed</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Microsoft&#x27;s exclusivity ended April 27. AWS had OpenAI models on Bedrock within 24 hours. GPT-5.4 is limited preview with no published…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="GitHub Copilot goes metered: what developers will actually pay per 1M tokens" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/github-copilot-metered-billing-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgithub-copilot-metered-billing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 29, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GitHub</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GitHub Copilot goes metered: what developers will actually pay per 1M tokens</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GitHub drops premium request units and switches to AI Credits on June 1, 2026. Code completions stay free. Everything else - chat, agents…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="DeepSeek V4 vs GPT-5.5 vs Claude Opus 4.7: what three frontier models actually cost" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 28, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek V4 vs GPT-5.5 vs Claude Opus 4.7: what three frontier models actually cost</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Three major releases in two weeks. DeepSeek V4-Pro at launch discount is 11x cheaper on input than GPT-5.5 and Claude Opus 4.7. Here&#x27;s the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Gemini Deep Research: what each AI research report actually costs" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-deep-research-agent-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-deep-research-agent-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">April 24, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini Deep Research: what each AI research report actually costs</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google launched the Deep Research API on April 21. The official estimate is $1-3 per task - accurate, but it bakes in 50-70% cache hits and…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Kimi K2.6: the fastest model in the top 5, at the lowest price" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/kimi-k2-6-pricing-benchmarks"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fkimi-k2-6-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 23, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Kimi</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Kimi K2.6: the fastest model in the top 5, at the lowest price</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Released April 20, Kimi K2.6 scores 54 on the AA Intelligence Index - 3 points behind the frontier, but $1.71/1M blended and 134…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude Code vs OpenAI Codex: which coding agent actually costs less in 2026?" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-code-vs-openai-codex-2026-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-code-vs-openai-codex-2026-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 21, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Code vs OpenAI Codex: which coding agent actually costs less in 2026?</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI updated Codex on April 17 with computer use and 90+ plugins. We ran the API numbers across three usage tiers - Codex&#x27;s container fees…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Voice AI APIs in 2026: what Gemini TTS, Voxtral TTS, and OpenAI TTS actually cost per hour" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/tts-api-pricing-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Ftts-api-pricing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 20, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Comparison</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Voice AI APIs in 2026: what Gemini TTS, Voxtral TTS, and OpenAI TTS actually cost per hour</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Per-token pricing makes TTS costs hard to reason about. We converted Gemini 3.1 Flash TTS, Mistral Voxtral TTS, OpenAI TTS-1, and ElevenLabs…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Gemini 3 Flash: $0.50 per million tokens, thinking on by default, and it actually beats Pro on agentic tasks" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-3-flash-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-flash-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 19, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini 3 Flash: $0.50 per million tokens, thinking on by default, and it actually beats…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google launched Gemini 3 Flash preview in December 2025 at $0.50 input / $3.00 output. The catch: thinking is on by default and thinking…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Tokenmaxxing can inflate your LLM API bill by 10x. On Gemini and GPT-5.4, it&#x27;s worse." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/tokenmaxxing-llm-api-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Ftokenmaxxing-llm-api-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">April 18, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Guide</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">
1Tokenmaxxing can inflate your LLM API bill by 10x. On Gemini and GPT-5.4, it&#x27;s worse.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">The term went viral this week for a practice developers have been doing forever: stuffing prompts with as much context as possible. Two…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude Opus 4.7: $5 per million tokens - and what that actually means now" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-opus-4-7-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-opus-4-7-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 17, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Opus 4.7: $5 per million tokens - and what that actually means now</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Released April 16. The per-token rate is unchanged from Opus 4.6. But the new tokenizer can use up to 35% more tokens for the same code or…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Claude Code Routines: what each automated run actually costs" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-code-routines-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-code-routines-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">April 16, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Code Routines: what each automated run actually costs</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Routines launched April 14, 2026 as a research preview. They run Claude Code sessions on Anthropic&#x27;s servers -- scheduled…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="GPT-5.4 computer use: what a real agent task actually costs" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-4-computer-use-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-4-computer-use-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">April 14, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.4 computer use: what a real agent task actually costs</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Computer use sessions aren&#x27;t like standard API calls. Screenshots accumulate with conversation history on every turn, GPT-5.4 has a 272K…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="DeepSeek V4: $0.30 per million tokens for a 1 trillion parameter model" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v4-pricing-preview"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v4-pricing-preview-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 13, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek V4: $0.30 per million tokens for a 1 trillion parameter model</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">DeepSeek V4 is not out yet but every major pricing tracker has landed on $0.30 per million input tokens. The leaked specs show 1M context…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Chatbot Arena April 2026: Claude leads everything, Grok 4.20 has the cheapest output" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/chatbot-arena-april-2026-cost-per-quality"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fchatbot-arena-april-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 12, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Arena</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Chatbot Arena April 2026: Claude leads everything, Grok 4.20 has the cheapest output</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">The April 2026 LMSYS Chatbot Arena leaderboard has Claude Opus 4.6 Thinking at Elo 1504, holding #1 across every major category. Muse Spark…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="OpenAI&#x27;s new $100 ChatGPT Pro: what you actually get on Codex, and when the API wins anyway" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/openai-chatgpt-pro-100-codex-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fopenai-chatgpt-pro-100-codex-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 11, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">OpenAI</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI&#x27;s new $100 ChatGPT Pro: what you actually get on Codex, and when the API wins…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI added a new tier on April 9, priced to match Anthropic&#x27;s Claude Max. It&#x27;s not a price cut on the $200 plan - it&#x27;s a new slot below…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="GPT-5.5 &quot;Spud&quot;: release date, pricing forecast, and what we actually know right now" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-5-spud-release-date-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-5-spud-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 11, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.5 &quot;Spud&quot;: release date, pricing forecast, and what we actually know right now</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI finished pretraining on March 24. Polymarket gives it 78% odds of shipping by April 30. Here&#x27;s everything confirmed, the signal…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="LLM API pricing in April 2026: from $0.05 to $125 per million tokens" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/llm-api-pricing-spectrum-april-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fllm-api-pricing-spectrum-april-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 10, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Comparison</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">LLM API pricing in April 2026: from $0.05 to $125 per million tokens</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">The spread between the cheapest and most expensive LLM APIs is now 2,500x on output tokens. Every major model, every tier, and where the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Meta Muse Spark: no API pricing, no open weights, and one area where it&#x27;s best in the world" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/meta-muse-spark-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmuse-spark-meta-ai-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">April 9, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Meta</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Meta Muse Spark: no API pricing, no open weights, and one area where it&#x27;s best in the…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Meta&#x27;s first proprietary model landed April 8 with benchmarks but no public API. Fourth overall on the Artificial Analysis Intelligence…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Project Glasswing and Claude Mythos Preview: the AI that found a 27-year-old bug for under $50" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/project-glasswing-claude-mythos"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fproject-glasswing-claude-mythos-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">April 8, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Industry</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Project Glasswing and Claude Mythos Preview: the AI that found a 27-year-old bug for under…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">On April 7, Anthropic officially announced Project Glasswing - a coalition of 52+ organizations with exclusive access to Claude Mythos…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Is Claude Code getting worse? The data says something did change on March 8." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-code-getting-worse-april-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-code-getting-worse-april-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">April 8, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Is Claude Code getting worse? The data says something did change on March 8.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">AMD&#x27;s Senior Director of AI published 6,852 session logs showing Claude&#x27;s thinking depth dropped 67% before anyone could see it. Reads per…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Claude Max subscribers using OpenClaw now pay API rates. Here&#x27;s the math." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-code-third-party-pricing-change"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-code-third-party-pricing-change-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">April 8, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Max subscribers using OpenClaw now pay API rates. Here&#x27;s the math.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Effective April 4, 2026, Anthropic stopped counting third-party tool usage against Claude subscriptions. OpenClaw got cut first, every other…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Microsoft MAI models: what MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 actually cost" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/microsoft-mai-models-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmicrosoft-mai-models-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 7, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Microsoft</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Microsoft MAI models: what MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 actually cost</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Three proprietary foundation models from Microsoft&#x27;s MAI group, released April 2, 2026. MAI-Transcribe-1 matches OpenAI Whisper at…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Gemini 3.1 Pro: $2 input, tied for #1 on benchmarks, and 20% cheaper than GPT-5.4" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-3-1-pro-pricing-benchmarks"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-1-pro-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 7, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini 3.1 Pro: $2 input, tied for #1 on benchmarks, and 20% cheaper than GPT-5.4</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Released February 19, 2026. Costs $2.00/1M input, $12.00/1M output (under 200K tokens). Tied #1 on Artificial Analysis Intelligence Index…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Qwen3.5-Omni: the pricing, the audio benchmarks, and whether the architecture hype is real" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-5-omni-pricing-benchmarks"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-5-omni-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 6, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3.5-Omni: the pricing, the audio benchmarks, and whether the architecture hype is real</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Released March 30, 2026. Three variants: Plus (30B-A3B MoE), Flash, Light (open weights). Provisional pricing: Flash at ~$0.065/M input…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a>
1<a title="Qwen3.6-Plus: $0.28 per million input tokens, and the benchmark comparison Alibaba chose not to lead with" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen3-6-plus-pricing-benchmarks"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen3-6-plus-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 6, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3.6-Plus: $0.28 per million input tokens, and the benchmark comparison Alibaba chose…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Released April 2, 2026. At $0.276/M input globally, Qwen3.6-Plus costs 18x less than Claude Opus 4.6. It leads on multimodal benchmarks. On…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Claude Haiku 3 retires April 19: it&#x27;s not just a model ID swap" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-haiku-3-deprecation-migration"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-haiku-3-deprecation-migration-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">April 5, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Haiku 3 retires April 19: it&#x27;s not just a model ID swap</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">claude-3-haiku-20240307 hits end of life April 19, 2026. Haiku 4.5 is the official replacement at $1.00/$5.00 per million tokens - 4x more…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Gemma 4 is out: $0.14 per million tokens for a 31B model scoring 89% on AIME" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemma-4-pricing-benchmarks"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemma-4-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">April 5, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemma</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemma 4 is out: $0.14 per million tokens for a 31B model scoring 89% on AIME</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google DeepMind released four Gemma 4 models on April 2. The 31B scores 89.2% on AIME 2026 and 84.3% on GPQA Diamond. The 26B MoE variant…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Reasoning models in 2026: $0.55 to $20 per million tokens, and when each tier makes sense" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/reasoning-models-pricing-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Freasoning-models-pricing-2026-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">April 5, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Comparison</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Reasoning models in 2026: $0.55 to $20 per million tokens, and when each tier makes sense</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">DeepSeek R1 costs $0.55 per million input tokens. o3-pro costs $20. On GPQA Diamond, R1 scores 81.0% vs o4-mini&#x27;s 81.4% - effectively tied…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a>
1<a title="Gemini Flex and Priority inference: how Google&#x27;s new tiers work and what they cost" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-flex-priority-inference-tiers"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-flex-priority-inference-tiers-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">April 4, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini Flex and Priority inference: how Google&#x27;s new tiers work and what they cost</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google added Flex and Priority inference to the Gemini API on April 2. Flex gives you batch-level pricing (50% off) with synchronous…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Google Gemini API billing caps are live: what developers need to know" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-api-billing-caps-2026"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
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The math explains why.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">$2.1 million in total revenue against $15 million per day in inference costs. A $1 billion Disney deal where no money changed hands. Sora…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="ARC-AGI-3: the benchmark no AI can crack, and what running it costs" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/arc-agi-3-benchmark-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Farc-agi-3-benchmark-cost-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">March 31, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">ARC-AGI</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">ARC-AGI-3: the benchmark no AI can crack, and what running it costs</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Launched March 25, 2026 at Y Combinator, ARC-AGI-3 is an interactive benchmark with zero instructions -- the AI must figure out the goal…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Gemini 2.0 Flash is deprecated: what migration actually costs you" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-2-0-flash-deprecated-migration-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-2-0-flash-deprecated-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">March 30, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini 2.0 Flash is deprecated: what migration actually costs you</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google deprecated Gemini 2.0 Flash on February 18, 2026, with a June 1 shutdown. The obvious replacement - Gemini 2.5 Flash - is 3x more…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Kimi K2.5 vs GPT-5.4: the model Cursor built on, and what it actually costs" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/kimi-k2-5-vs-gpt-5-4-coding-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fkimi-k2-5-vs-gpt-5-4-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">March 29, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Kimi</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Kimi K2.5 vs GPT-5.4: the model Cursor built on, and what it actually costs</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Cursor launched Composer 2 without disclosing the base model. A developer intercepted the model ID six hours later -- it was fine-tuned Kimi…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="OpenAI Codex pricing: API costs, container billing, and how it stacks up against Claude Code" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/openai-codex-pricing-api-cost"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fopenai-codex-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">March 28, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">OpenAI</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI Codex pricing: API costs, container billing, and how it stacks up against Claude…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI Codex runs on gpt-5.2-codex at $1.75/$14.00 per million tokens -- cheaper on input than Claude Sonnet 4.6, roughly equal on output…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="How much does Claude Code actually cost per session?" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-code-cost-per-session"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-code-cost-per-session-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">March 28, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">How much does Claude Code actually cost per session?</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic says the average is $6 per developer per day. Here&#x27;s what a simple bug fix, a complex feature, and an autonomous computer control…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Claude Mythos pricing: what Anthropic&#x27;
1s leaked new model will cost developers" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-mythos-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-mythos-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 27, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude Mythos pricing: what Anthropic&#x27;s leaked new model will cost developers</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic accidentally exposed internal documents describing Claude Mythos, a new tier above Opus codenamed Capybara. No official pricing…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Grok 4.20 Beta: $2 per million tokens, 2M context, and the lowest hallucination rate measured so far" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/grok-4-20-beta-pricing-benchmarks"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgrok-4-20-beta-pricing-benchmarks-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 26, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Grok</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Grok 4.20 Beta: $2 per million tokens, 2M context, and the lowest hallucination rate…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">xAI&#x27;s Grok 4.20 Beta costs $2.00 input / $6.00 output -- cheaper than the Grok 4 it replaces and well below Claude Sonnet 4.6 on output. It…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Llama 4 Scout vs Maverick: API pricing, self-hosting costs, and which one to use" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/llama-4-scout-vs-maver
1ick-api-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fllama-4-scout-vs-maverick-api-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">March 26, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Llama</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Llama 4 Scout vs Maverick: API pricing, self-hosting costs, and which one to use</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Maverick scores 69.8 on GPQA Diamond and costs $0.15 per million input tokens at DeepInfra. Scout has a 10-million-token context window and…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="DeepSeek V3.2 vs GPT-5.4: Is the 30x price gap worth it?" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/deepseek-v3-2-vs-gpt-5-4-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fdeepseek-v3-2-vs-gpt-5-4-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">March 25, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">DeepSeek</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">DeepSeek V3.2 vs GPT-5.4: Is the 30x price gap worth it?</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">DeepSeek V3.2 costs $0.28 per million input tokens. GPT-5.4 costs $2.50. We went through the benchmarks, context window caveats, and real…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a>
1<a title="Qwen3.5 Small: the 9B model that beats gpt-oss-120B on four benchmarks" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/qwen-3-5-small-benchmarks-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fqwen-3-5-small-benchmarks-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 24, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Qwen</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Qwen3.5 Small: the 9B model that beats gpt-oss-120B on four benchmarks</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Alibaba released four small models on March 2. The 9B scores 82.5 on MMLU-Pro, ahead of gpt-oss-120B (80.8) and Qwen3-30B (80.9) with 13x…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Anthropic drops the 2x long-context surcharge: what Claude now costs at 1M tokens" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/anthropic-long-context-flat-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fanthropic-long-context-flat-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">March 24, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Anthropic</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic drops the 2x long-context surcharge: what Claude now costs at 1M tokens</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">On March 13, Anthropic removed the pricing penalty that doubled your bill when prompts crossed 200K tokens. Claude Sonnet 4.6 at 1M tokens…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Xiaomi MiMo-V2-Pro: the trillion-parameter model that fooled everyone into thinking it was DeepSeek" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/xiaomi-mimo-v2-pro-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fxiaomi-mimo-v2-pro-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 23, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Xiaomi</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Xiaomi MiMo-V2-Pro: the trillion-parameter model that fooled everyone into thinking it was…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">For a week, developers thought &#x27;Hunter Alpha&#x27; was a stealth DeepSeek V4 leak. It was Xiaomi. MiMo-V2-Pro has 1T+ parameters, scores 78% on…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Gemini 3.1 Flash-Lite: $0.25 per million tokens, 1M context, and benchmark scores that beat Claude Haiku" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-3-1-flash-lite-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-3-1-flash-lite-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 23, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini 3.1 Flash-Lite: $0.25 per million tokens, 1M context, and benchmark scores that…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google shipped Gemini 3.1 Flash-Lite on March 3 at $0.25/1M input, $1.50/1M output. It scores 86.9% on GPQA Diamond - 14 points ahead of…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Mistral Small 4: $0.15 per million input tokens for a multimodal MoE model" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/mistral-small-4-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fmistral-small-4-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 23, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Mistral</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Mistral Small 4: $0.15 per million input tokens for a multimodal MoE model</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Mistral shipped a 119B MoE model that activates only 6.5B parameters per token. It handles text and images, has configurable reasoning, and…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="GPT-5.4 Mini vs Nano: pricing, benchmarks, and which one to use" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-4-mini-vs-nano-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-4-mini-vs-nano-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">March 23, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.4 Mini vs Nano: pricing, benchmarks, and which one to use</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI shipped GPT-5.4 mini ($0.75/1M input) and nano ($0.20/1M input) on March 17. Both are faster than GPT-5 mini but 3-4x pricier. We…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">9 min read</span></div></a><a title="Claude 5 release date: what Anthropic has actually said" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/claude-5-release-date-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-5-release-date-pricing-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">March 20, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Claude</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Claude 5 release date: what Anthropic has actually said</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic hasn&#x27;t announced Claude 5. But between Dario Amodei&#x27;s public statements, their release cadence, and a $30B funding round, we can…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="How to cut your LLM API bill by 60% without changing models" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/cut-llm-api-costs"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fcut-llm-api-costs-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Guide</span><span class="text-xs whitespace-nowrap text-zinc-300">March 20, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Guide</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">How to cut your LLM API bill by 60% without changing models</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Five tactics that work with any provider. Prompt caching, batch processing, output optimization, model routing, and semantic caching. We…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a><a title="The AI Price Index: How LLM costs dropped 300x in three years" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/ai-price-index"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fai-price-index-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Research</span><span class="text-xs whitespace-nowrap text-zinc-300">March 20, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Research</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">The AI Price Index: How LLM costs dropped 300x in three years</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">In March 2023, GPT-4 cost $30 per million input tokens. Today, you can get GPT-4-level quality for under $0.10. We tracked every major price…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">12 min read</span></div></a><a title="GLM-5 Turbo: the first model built for OpenClaw. Is it worth $1.20 per million tokens?" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/glm-5-turbo-openclaw-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fglm-5-turbo-openclaw-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 16, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GLM</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GLM-5 Turbo: the first model built for OpenClaw. Is it worth $1.20 per million tokens?</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Zhipu released a model trained from scratch for OpenClaw agentic workflows. At $1.20/1M input it&#x27;s 4x pricier than MiniMax M2.5. Here&#x27;s the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">6 min read</span></div></a><a title="NVIDIA Nemotron 3 Super: Pricing, Benchmarks &amp; What 12B Active Parameters Actually Gets You" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/nvidia-nemotron-3-super-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fnemotron-3-super-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 13, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">NVIDIA</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">NVIDIA Nemotron 3 Super: Pricing, Benchmarks &amp; What 12B Active Parameters Actually Gets…</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">NVIDIA dropped a 120B open-source model at GTC that only activates 12B parameters per token. At $0.10/1M input on DeepInfra, it&#x27;s 25x…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="Gemini Embedding 2: Pricing, Limits, and How It Compares to OpenAI" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gemini-embedding-2-pricing"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgemini-embedding-2-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 11, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Gemini</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Gemini Embedding 2: Pricing, Limits, and How It Compares to OpenAI</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Google shipped a multimodal embedding model yesterday. It handles text, images, audio, video, and PDFs in one vector space. Here&#x27;s the…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">6 min read</span></div></a><a title="GPT-6 Release Date: What We Actually Know Right Now" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-6-release-date"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-6-release-date-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 10, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-6 Release Date: What We Actually Know Right Now</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">GPT-5.4 just dropped. Naturally, everyone wants to know when GPT-6 is coming. Here&#x27;s everything OpenAI has actually said, what the timeline…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">7 min read</span></div></a><a title="Anthropic Built a Marketplace. No Commission, Complicated Timing." class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/anthropic-claude-marketplace"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fclaude-marketplace-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Industry</span><span class="text-xs whitespace-nowrap text-zinc-300">March 9, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">Anthropic</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">Anthropic Built a Marketplace. No Commission, Complicated Timing.</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Anthropic launched the Claude Marketplace for enterprise customers this week. Zero commission, six launch partners, and a Pentagon…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">5 min read</span></div></a><a title="OpenAI GPT-5.4: Pricing, Benchmarks &amp; What Developers Actually Need to Know" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/openai-gpt-5-4-pricing-benchmarks-review"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;
1color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-4-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Model Release</span><span class="text-xs whitespace-nowrap text-zinc-300">March 5, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">OpenAI</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">OpenAI GPT-5.4: Pricing, Benchmarks &amp; What Developers Actually Need to Know</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">OpenAI just dropped GPT-5.4 with a 1M+ context window, native computer use, and some serious coding chops. Here&#x27;s the honest breakdown on…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">8 min read</span></div></a><a title="GPT-5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro: Which One Should You Actually Use?" class="flex-col glass hover:border-[var(--color-accent-border)] transition-colors duration-300 overflow-hidden group hidden" href="/blog/gpt-5-4-vs-claude-opus-4-6-vs-gemini-3-1-pro"><div class="relative px-4 sm:px-5 pt-4 pb-5 border-b overflow-hidden" style="background:var(--color-card-subtle);border-color:var(--color-card-border)"><img alt="" aria-hidden="true" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-45 group-hover:opacity-60 transition-opacity duration-300" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(max-width: 640px) 100vw, 50vw" srcSet="/_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=384&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 384w, /_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=640&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 640w, /_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=750&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 750w, /_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=828&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 828w, /_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=1080&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1080w, /_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=1200&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1200w, /_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=1920&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1920w, /_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=2048&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2048w, /_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 3840w" src="/_next/image?url=%2Fblog%2Fgpt-5-4-vs-claude-hero.webp&amp;w=3840&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><div class="absolute inset-0" aria-hidden="true" style="background:rgba(9, 9, 11, 0.45)"></div><div class="relative flex items-center justify-between gap-2 mb-4"><span class="text-xs font-medium text-[var(--color-accent)] bg-[rgba(9,9,11,0.6)] px-2 py-0.5 rounded-full">Comparison</span><span class="text-xs whitespace-nowrap text-zinc-300">March 6, 2026</span></div><div class="relative flex items-baseline gap-2"><span aria-hidden="true" class="text-xl font-display font-extrabold text-[var(--color-accent)]">/</span><span class="font-display font-extrabold tracking-tight text-2xl sm:text-3xl leading-none text-zinc-50">GPT</span></div></div><div class="p-4 sm:p-5 flex flex-col gap-2"><h2 class="text-base font-display font-bold group-hover:text-[var(--color-accent)] transition-colors leading-snug" style="color:var(--color-text-heading)">GPT-5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro: Which One Should You Actually Use?</h2><p class="text-sm leading-relaxed" style="color:var(--color-text-secondary)">Three frontier models, three very different trade-offs. We ran through the benchmarks, pricing, and real-world quirks to figure out which…</p><span class="text-xs mt-auto pt-1" style="color:var(--color-text-tertiary)">10 min read</span></div></a></div><div class="flex justify-center mt-10"><button class="text-sm font-medium px-6 py-2.5 rounded-full border border-[var(--color-card-border)] hover:border-[var(--color-accent-border)] hover:text-[var(--color-accent)] transition-colors" style="color:var(--color-text-secondary)">Show <!-- -->161<!-- --> more posts</button></div></div><!--$--><!--/$--></main><footer class="mt-24 relative"><div class="accent-line"></div><div class="max-w-6xl mx-auto px-4 sm:px-6 py-10"><div class="grid grid-cols-1 md:grid-cols-3 gap-10 text-sm"><div><div class="flex items-center gap-2 mb-3"><img alt="TokenCost logo" loading="lazy" width="27" height="16" decoding="async" data-nimg="1" class="object-contain" style="color:transparent" srcSet="/_next/image?url=%2Ftoken-cost.png&amp;w=32&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 1x, /_next/image?url=%2Ftoken-cost.png&amp;w=64&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M 2x" src="/_next/image?url=%2Ftoken-cost.png&amp;w=64&amp;q=75&amp;dpl=dpl_9DMUtU8woSu96kW4dyVNzhqWrw8M"/><h3 class="font-display font-bold tracking-tight" style="color:var(--color-text-heading)">TokenCost</h3></div><p class="leading-relaxed" style="color:var(--color-text-tertiary)">Free LLM token counter and API cost calculator. 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1<script>self.__next_f.push([1,"GPT-Rosalind ran for 172 days without a rate card. On September 8 the API changelog called it generally available through the trusted-access program, on September 11 OpenAI added an update to both Rosalind posts, and a row appeared under 'Specialized models' on the pricing page: gpt-rosalind-research, $5.00 input, $0.50 cached, $25.00 output, with a note that billing begins October 5, 2026 and that cache-write pricing does not apply. The card is GPT-5.5's on input and cache and $5 under it on output, 0.833x on the line that dominates a reasoning bill, which makes Rosalind the only OpenAI specialist priced below its base: GPT-5.6 Cyber sits at 3.125x Sol. It is also Claude Opus 5's $5 / $0.50 / $25 to the cent, the difference being the $6.25 Anthropic charges to write a cache and OpenAI does not. On OpenAI's own June 3 numbers, Rosalind uses 31% fewer tokens than GPT-5.5 on GeneBench, 7.2% fewer on MedChemBench and 5.3% fewer on LabWorkBench, so a task costs between 5.3% and 42.5% less depending on which tokens were saved, a split OpenAI has not published. Also inside: no Batch, Flex, Fast or long-context row; no model page at all, so no context window, max output, cutoff or rate limits for a model sold on long reasoning over omics data; API use restricted to internal research and barred from customer-facing products; a ChatGPT credit card that bills 20 credits a message against Sol's 10 while the token rate is 1.25x Sol's; a setup guide that files the newly GA model under 'Legacy models'; and Anthropic's answer to the same market, which is the standard Claude line at the standard price with a published window."])</script>
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1<script>self.__next_f.push([1,"Anthropic's September 10 threat report gives five per-lab counts of 'exchanges observed' against Claude, over 151 million for Alibaba, 23 million for Moonshot, 12.1 million for DeepSeek, 3.4 million for Zhipu and 400,000 for Xiaomi, and never adds them up, prices them or says how long an exchange was. We did. Every Opus from 4.5 to 5 shares one card, $5 input, $0.50 cached, $25 output, so the version the report leaves vague does not change the arithmetic, only the shape of an exchange does: $0.03 at 1,000 tokens each way, $0.125 at the mean Opus 5 request OpenRouter measured last week, $0.21 at a 2,000-in, 8,000-out reasoning dump. That makes the campaign $5.7 million, $23.8 million or $39.9 million at list, which is 46 minutes, 3.2 hours or 5.4 hours of Anthropic's $65 billion run rate, and none of it was billed, because the report says the accounts ran on stolen cards. Then the relay. Moonshot sent almost 300,000 Kimi customer requests to Opus over ten days through 5,380 accounts, and Kimi K3's card is Opus's times 0.6 on input, cache and output alike, so a relayed request costs $0.1253 and bills $0.0752 for any token mix; on the K2.6 card the customers were more likely on, since K3 did not exist until July 16, it bills $0.0267, 21 cents on the dollar. Also inside: Alibaba's 3-million-a-day peak against OpenRouter's 2.4 million daily Opus 5 requests; the Xiaomi free trial the report says was a transcript-collection device; Cognition's SWE-2, post-trained on K3 and sold as 64% cheaper than Fable 5.1; the countermeasures that changed the product without moving a price; and seven things we could not find, starting with a token count."])</script>
1<script>self.__next_f.push([1,"20:T7ba,"])</script>
1<script>self.__next_f.push([1,"The Agents API went into public beta on September 10 with one pricing sentence: 'you simply pay for the tokens and tools your agents use.' The sandbox is a tool. OpenAI-hosted sandboxes bill at the container card Code Interpreter has used all year, $0.03 for 1 GB, $0.12 for 4 GB, $0.48 for 16 GB and $1.92 for 64 GB per 20-minute session, by the minute with a 5-minute minimum, and the Wayback Machine shows the built-in tools table byte-identical across the launch. Two things are missing. The Create Session API's openai_hosted object has no memory_limit, cpu or gpu field, so nothing tells you which of four rates spanning 64x you are on. And the pricing page's 'eligible container sessions' footnote never defines eligible or says whether the up-to-one-hour idle period before a sandbox is deleted bills, a question Simon Willison asked on a 345-point Hacker News thread that nobody from OpenAI has answered. Claude Managed Agents charges $0.08 per session-hour for up to 8 GB, metered only while running, with idle time free in writing. So OpenAI's box is 1.125x Anthropic's per hour if it is the 1 GB tier, 4.5x at 4 GB and 72x at 64 GB. Ported to Anthropic's own worked example, an hour of 50,000 input and 15,000 output tokens is $0.705 on Opus 5 with the runtime at 11.3% of the bill, $1.34 on GPT-6 Astra with a 1 GB sandbox at 6.7%, and $0.118 on GPT-5.6 Luna with the sandbox at 76.3%; on the 4 GB tier the Luna sandbox is 12.9x the model. Also inside: the rate card's two restructurings this year, from flat per container to 20-minute blocks on March 31 to per-minute in June, with no rate moving; the November 2025 'we no longer charge for unused containers' fix and why it does not cover a sandbox held open between turns; the 20 minutes of a 2 vCPU, 4 GB box priced at $0.0552 on E2B, Daytona and Blaxel against OpenAI's $0.12; Google's 'not billed during the preview period'; and the six things OpenAI has not published, starting with which row you are paying."])</script>
1<script>self.__next_f.push([1,"21:T887,"])</script>
1<script>self.__next_f.push([1,"Fugu Max went on sale September 11 at $2.00 input, $6.00 output and $0.25 cached input per million tokens, flat to 1M context, as a new line on a Sakana card whose Ultra tier has not moved since June 22. The output claim is arithmetic and it checks: $6 is 40% under Sonnet 5, 50% under GPT-5.6 Terra and 60% under Kimi K3. The input line is identical to the first two. Then the paragraph on Sakana's pricing page that the launch post does not mention: orchestration tokens, the ones the router spends calling models in its pool and copies of itself, 'represent real token usage outside of the input and output tokens and will be counted in the final price of the request,' at the same $2 and $6, and unlike OpenAI's reasoning_tokens they are additive to input_tokens and output_tokens rather than inside them. Sakana publishes the fields and not a single typical value. So we computed the overhead at which the saving disappears: on a 30,000-in, 2,000-out coding-agent turn, Fugu Max costs the same as Sonnet 5 once orchestration adds 11.1% to the token count, Terra at 16.7%, Kimi K3 at 66.7%; on a 1,000-in, 5,000-out answer, 62.5%, 93.8% and 143.8%. Also inside: why Qwen3.8 Max, a single model on Sakana's own chart at the identical $2, $6 and $0.25, makes any orchestration token at all a loss; the launch chart's Gemini 3.8 Flash dot drawn at $7.50 output, Google's January 2027 price, when the price in force for the next 110 days is $3.75, and the recount that turns 'seven of ten' Pareto wins into six, three of them by half a point or less; the DeepSeek V4 Pro dot plotted at its seven-hours-a-weekday peak rate, on the same day DeepSeek quietly cancelled the September 14 routing that would have retired the model, a reversal we found in the Wayback Machine and have corrected in our own catalogue; Sonnet 5 and Terra batch cards that undercut Fugu Max's standard card on input; a pool the text calls open-weights and the diagram labels closed and open; the 72 tokens per second OpenRouter reads against Gemini's 274.9; the Artificial Analysis benchmark on a chart for a model Artificial Analysis does not list; and a Hacker News thread with 5 points where June's had 247."])</script>
1<script>self.__next_f.push([1,"22:T607,"])</script>
1<script>self.__next_f.push([1,"GPT-Live-1 went generally available in the API on September 10 at $0.05 per minute of session, metered per second with no rounding, on the only endpoint it supports. Three things sit under that number. Active session time includes silence, so three minutes of hold is $0.15, the opposite of the Realtime API, where voice activity detection makes quiet free. The model doing the thinking is not the one you pay $0.05 for: GPT-Live-1 delegates to a Responses model of your choice, which bills its own tokens on top, and we priced a 10-minute call at $0.51 on GPT-5.6 Luna, $0.58 on Terra, $0.64 on Sol and $0.86 on GPT-6 Astra, with the backend at 1.5% of the bill at one end and 42% at the other. And the same 10-minute call on gpt-realtime-2.1 comes out between $0.51 and $3.22, because Realtime resends the whole conversation on every turn at $0.40 per million cached or $32 uncached, a 6.3x spread that GPT-Live-1 simply deletes. Also inside: the 15 seconds of duration that WebRTC session creation bills before anyone speaks; the $0.055 rate we infer for data residency endpoints from a footnote OpenAI has not applied to this model in print; why $0.05 is the exact number Vapi charges for hosting and Retell charges $0.055 for, with no model included; the Tau3 chart that puts GPT-Live-1 first with GPT-6 Astra at medium effort behind it, which is not the $0.05 product; concurrency limits that cap a Tier 1 account at $75 an hour; the unpublished session duration limit; and the Hacker News thread that has 10 points where July's had 750."])</script>
1<script>self.__next_f.push([1,"23:T7df,"])</script>
1<script>self.__next_f.push([1,"Correction, September 12: DeepSeek withdrew the September 14 routing on September 11, 'in response to user demand', and deepseek-v4-pro keeps its card with no end date; the Pro routing described below is the plan as announced. DeepSeek V4.1 Flash went live at 04:00 UTC on September 10 under the model name deepseek-flash at $0.15 input, $0.003 cache hit and $0.60 output off-peak, against $0.22, $0.007 and $0.66 for the V4 Flash it retires. Three lines, three different cuts: 31.8%, 57.1% and 9.1%, and the 60/33/11 you may have read are the yuan card's percentages, because DeepSeek set the new dollar lines at a different exchange rate from every other line on the same page. Then the footnote that matters. From 12:00 Beijing time on September 14, every request to deepseek-v4-pro is routed to V4.1 Flash and billed at its price: a 77.3% input cut, 69.7% on output and 86.4% on cache hits for anyone who does nothing, delivered by a 552B-parameter model with 16B active replacing a 1.6T one with 49B active. The original plan, posted to a user group on September 9, was to make the switch at launch; a 399-point Hacker News thread later, DeepSeek added four days, during which it is charging a 4.40x premium for a model it has stated in writing is worse. Also inside: the two of sixteen DeepSeek-published benchmarks on which Pro still wins, so 'comprehensively surpassed' is fourteen of sixteen; the fact that Artificial Analysis has not measured V4.1 Flash and that the 427 tokens per second going round comes from nobody's lab; the $0.15 input price DeepSeek now shares with GLM-5.3-Flash and Qwen3.8-Flash, and why the cheapest of the three depends on your cache-hit rate rather than the card; the peak row that puts V4.1 Flash above GPT-5.6 Luna for seven hours a weekday; and the silent edit we found in the Wayback Machine, which made weekends off-peak in late August with no changelog entry, and which means every blended DeepSeek figure we and everyone else published since then was about 7% too high."])</script>
1<script>self.__next_f.push([1,"24:T646,"])</script>
1<script>self.__next_f.push([1,"GPT Image 2.5 arrived on September 8 with five price lines identical to GPT Image 2, to the cent, on both the Sunburst and Flare snapshots. The rate card is not where the money is. Image generation bills by the token, and the token counts behind each quality setting were rewritten: a 1024x1024 image at high fell from 7,024 output tokens to 1,756, so the same call costs $0.0527 instead of $0.2107. The ladder shifted down exactly one rung and the integers are exact rather than approximate, with 2.5's high spending what GPT Image 2's medium spent and 2.5's max spending what its high spent. So the widely reported story, that two new premium tiers mean a dearer model, is backwards: the most expensive image either model will sell you is $0.2107, and both still default to auto. The 2x price rise that led coverage was a batch column read against a standard one, a mistake OpenAI's own tabbed pricing page makes easy, and we show exactly how. Also inside: why the token counts in this post had to be reconstructed from the calculator OpenAI ships on its docs, since it publishes a static tokens-per-image table only for models older than these two; the cell where two reconstructions both survive the published figures, and what we left out because of it; OpenAI stating that Sunburst and Flare can cost different amounts per image and then shipping one estimator covering both; the streaming surcharge that can triple a low-quality call; why gpt-image-1 dies six weeks before the three models every roundup groups it with; and the reason our own pricing table carried no OpenAI image model until today."])</script>
1<script>self.__next_f.push([1,"25:T85e,"])</script>
1<script>self.__next_f.push([1,"Artificial Analysis shipped Intelligence Index v4.2 on September 4 and v4.3 on September 7. Claude Fable 5.1 scored 65.65 before them and 53.37 after, Claude Opus 5 went 63.05 to 50.70, and every model that was on the board beforehand lost between 12.3 and 18.1 points. No lab shipped weights in that window and not one rate card moved a cent. The version in the middle was current for three days: Artificial Analysis records its own active window for it as September 2026 to September 2026. Then the part that belongs on a pricing site. The last step alone made running the index 25% to 103% dearer per model on rate cards that did not move, because the suite got longer and models now emit half again to twice the output tokens per task, so Fable 5.1 went from $3.69 per task to $7.63 in five days while listing at the same $10.00 and $50.00 throughout. Divide the two moving numbers and cost per intelligence point rose between 154% and 290% across the models measured through both rewrites, which means there is no scalar that converts an old figure to a new one and the ordering genuinely reshuffled: rank eight models by cost per point and the entire middle four swap places with nothing but the methodology moving. Also inside: why the tie at 53 that made this week's headlines is a v4.3 artifact of a 0.560-point gap that was 2.101 three days earlier, and why GPT-6 Astra lost less than any other model on the board in that step; the Terminal-Bench slot where the task set, the agent harness and the step budget all changed at once, and the 5.9-point disagreement between Artificial Analysis and Snorkel on the same benchmark version that exceeds Snorkel's own error bar; the four places Artificial Analysis writes 'not directly comparable' about constituent benchmarks and the one place it has never written it; its own July headline claiming six labs field a model above 50 when the answer is now two labs; the live page still answering that four categories contribute 25% each under a v4.3 header; and our own rankings, which carry 104 models on an index fetched July 27, three revisions behind, with no version stamp on it at all."])</script>
1<script>self.__next_f.push([1,"26:T663,"])</script>
1<script>self.__next_f.push([1,"Mercury 2.5 has been selling since August 31 at $0.04 and $0.15 per million tokens. On September 8 it becomes $0.20 and $0.75. The discount is a flat 80% struck against every line at once, so the reversion is exactly 5.00x for everybody: no prompt shape, no cache-hit rate and no reasoning setting moves it a cent. That uniformity is rarer than it sounds, and it means there is nothing to optimise around. The price that lands is also not really a new price. Inception has charged $0.25 and $0.75 for Mercury 2 since March, and Mercury 2.5's list card is $0.20 and $0.75, identical on output to the cent across a version bump that doubled the context window. Then the part that made us write it: the countdown is published on OpenRouter and nowhere Inception controls. Its own site shows the list price with no discount and no date, its docs do not list the model, its API does not serve it, and its blog never announced it. Also inside: why the cheapest model in our basket changes hands twice in 33 hours without a single model changing, as Z.AI's GLM-5.3-Flash discount lapses a day and a half after this one; why an hour of Mercury 2.5 costs twice an hour of Mercury 2 at an identical output price, and what that says about buying speed on a per-token meter; the 1,107 tokens per second Inception claims against the 471 OpenRouter actually serves; the complete absence of any benchmark for this model from any source, vendor or independent; the four incompatible conventions six vendors use to tell you when a price expires; and a correction to our own May post, whose 788 tokens per second no longer matches the page it came from."])</script>
1<script>self.__next_f.push([1,"27:T79f,"])</script>
1<script>self.__next_f.push([1,"Cohere shipped Parse 5 on August 27 at $1.50 per 1,000 pages. AWS Textract charges $1.50 per 1,000 pages. Azure charges $1.50 and has since March 1, 2022. Google charges $1.50 past its free tier. The newest arrival on that list matched a four-and-a-half-year-old price to the cent rather than undercutting it, in a market where the average million tokens fell from $2.04 to $1.17 over a single summer. That $1.50 buys the characters and nothing else. The same physical page costs $4.00 for standalone layout at AWS, $10.00 for layout inside Azure's prebuilt bundle, $15.00 for tables, $50.00 for form fields and $70.00 for a loan packet, a 46.67x range across meters that all bill per page, and most of that is decided by which verb you picked rather than which vendor. Then the comparison everybody actually runs: model input price times tokens per page against $1.50. It is the wrong sum. A parser's page price includes the Markdown it hands back and an LLM's input price does not, so Gemini 3.8 Flash looks 7.75x cheaper at $0.19 per 1,000 pages and lands at $3.01 once output is counted, about twice the parser rate. The breakeven is about 348 output tokens a page, less than half of what a dense page of Markdown runs to. Also inside: why Claude Haiku 4.5 costs exactly $1.50 per 1,000 pages and we did not engineer that; why GPT-6 Astra cannot be costed per page from anything OpenAI publishes; the two live Google pages that say a PDF page is 258 tokens and 560 tokens without referencing each other; the $10.00 Cohere puts on AWS Textract in its own price-performance chart against the $1.50 on Textract's rate card; the fact that Cohere's canonical pricing documentation never mentions Parse or pages at all; why only Google will tell you that a spreadsheet tab is a page; and the twenty OCR rows in the industry's shared price file that have nowhere to put a number, including the one for Parse 5 that has kept it off this site since launch."])</script>
1<script>self.__next_f.push([1,"28:T98a,"])</script>
1<script>self.__next_f.push([1,"Claude Mythos 5.1 landed September 1, Gemini 3.8 Flash Cyber September 2, and OpenAI's $1 billion Daybreak commitment September 3. Three approval-gated models in three days, and three incompatible answers to what one costs. Anthropic printed seven exact figures and they are Fable 5.1's figures to the cent, $10.00 input, $50.00 output, $12.50 and $20.00 cache writes, $0.25 cache read and $5.00 and $25.00 on Batch, including the 0.025x cache-read multiplier that broke a formula Anthropic had honoured on every model it ever sold. Then read the Cyber Verification Program page: it carries Opus- and Sonnet-class models today and will include Mythos-class models in the near future, so the complete price belongs to a model the cyber programme cannot presently sell a cyberdefender. Google went the other way and published nothing. No rate on Vertex, none on the Gemini API pricing page, none on the DeepMind model page, no cost statement in the Fairwind terms, and no API model ID anywhere, which stops looking like an oversight once you read the clause saying access cannot be shared, redistributed or sold. OpenAI published neither: gpt-daybreak-blue-latest and gpt-daybreak-red-latest are aliases onto gpt-5.6-sol and gpt-5.6-cyber, the two model pages carry rate limits and no rate card, and OpenAI states the pointers will be repointed later with pricing adjusted to match. That last one has a bill attached. The same $1 billion converts to 125 trillion tokens at Blue's $8.00 blended and 35.6 trillion at Red's $28.125, a 3.52x swing decided by nothing but which alias an organisation is approved for. Also inside: why Red is the only gated model of the three that also loses its discount tiers, turning a 1.41x rate gap against Mythos 5.1 into 2.81x on batchable work because Responses-API-only means no Batch endpoint at all; one 1,000-turn triage run priced on every card that exists, $116.40 to $401.25 inside a single programme; the 431-model OpenRouter catalogue with zero rows matching mythos, daybreak, cyber or glasswing while five Fable rows and two Gemini 3.8 rows sit there; why \"same model\" is a flat identity claim at Anthropic, a shared base plus extra training at Google, and not an identity claim at all at OpenAI; the 70% figure about to be misquoted this week and the better-sourced 86.2% and more sobering 47.2% beside it; and the two different US-only restrictions on Mythos 5.1 that do not cancel each other out."])</script>
1<script>self.__next_f.push([1,"29:T7ef,"])</script>
1<script>self.__next_f.push([1,"OpenAI shipped GPT-6 Astra on September 3 at $10.00 per million input tokens, $1.00 cached, $12.50 for a cache write and $50.00 output. Claude Fable 5 has carried those four numbers since launch, and on September 1 Anthropic replaced it with Fable 5.1, which changed exactly one of them: the cache read, $1.00 to $0.25. So the two live flagships now agree on input, output, the five-minute cache write, both batch legs and the 128,000-token output ceiling, and disagree on one cell, 4x wide, in OpenAI's favour on nothing. Astra sits at the 0.100x cache-read multiplier that eight models across both price lists share; Fable 5.1 and Mythos 5.1 are the only two at 0.025x, and they are three days old. What that 4x is worth turns out to be bounded: on a 1,000-turn agent loop with 60,000-token prompts, Astra costs 4.4% more at a 50% hit rate and 20.2% more at 99%, because output at $50.00 anchors both bills. The gap that actually bites is not on the card at all. Any Astra request over 272,000 input tokens reprices the entire request at 2x input and 1.5x output, and Fable 5.1 bills its full million-token window flat, so one token takes a thousand-turn job from $839.20 to $1,578.40 and the same job at 400,000-token prompts runs $2,180.00 against $885.00. Also inside: why every cost claim in OpenAI's launch post is a token claim in disguise, back-solved to implied token ratios that range from 1.45x to 7.14x against the same competitor in the same post; the exact 2.50x that separates Astra from GPT-5.6 Sol on all ten published lines, including Fast, Batch and both long-context bands; why 1,050,000 is a sum of two ceilings rather than an addressable window, and why 70% of the input range you can fill bills at double; the Tier 1 account whose one maximum-length prompt is 84% larger than its entire per-minute token budget; Anthropic's own footnote conceding its tokenizer emits about 30% more tokens for the same text; and the fact that three venues were named on launch day and only one of them has published a price."])</script>
1<script>self.__next_f.push([1,"2a:T8b3,"])</script>
1<script>self.__next_f.push([1,"Google shipped its third Flash model in six weeks on September 2, at $0.75 per million input tokens and $3.75 per million output. Gemini 3.7 Flash and Gemini 3.6 Flash already carry those numbers, and not just those two: all thirteen priced rows across Standard, Batch, Flex and Priority are identical on all three models, twenty-six figures counting both sides of the expiry, with no cell where they differ. The word Google uses is introductory, but the date is December 31, 2026 for every one of them regardless of when they launched, so the length of your introduction depends on how late you were born. 3.7 Flash gets 141 days of the discount. 3.8 Flash gets 121. A model shipped in mid-December on the same three-week cadence would get sixteen. Every one of those thirteen rows doubles by exactly 2.0x on January 1, with no rounding residue anywhere, which makes the reversion trivial to forecast and impossible to route around: no tier, no cache hit rate and no prompt shape changes a uniform multiplier, and if you are not batching today, batching in January buys back exactly your December bill and nothing more. Also inside: the two archived captures 38 hours apart proving 3.6 Flash spent 23 days at full price before Google swept it onto a promotion built for a newer model; why Gemini 3.5 Flash is not the expensive one but the only current Flash whose price is a price, and how its 2.00x input gap becomes 1.00x and its 2.40x output gap becomes 1.20x on New Year's Day; the tell that 3.5 Flash's cache storage is already sitting on the post-reversion number; a thousand-agent-turn job priced on eight cards either side of the date, where 3.8 Flash on Priority undercuts 3.5 Flash on Standard by 18.2% today and costs 1.64x in January; why Vertex calls the same discount 50% credits back on net spend while AI Studio calls it a lower price; the sentence in Google's own launch post telling you to stay on 3.7 Flash because the new model might use more tokens, and the 3.4x token allowance that shrinks to 1.2x once the price doubles; a Pareto frontier claimed for the gated Cyber model on an axis with no published number; and the fact that OpenRouter carries every figure correctly and has nowhere to put the date."])</script>
1<script>self.__next_f.push([1,"2b:T714,"])</script>
1<script>self.__next_f.push([1,"Anthropic shipped Fable 5.1 and Mythos 5.1 on September 1 and left almost the whole card alone: $10.00 input, $50.00 output, $12.50 and $20.00 cache writes, $5.00 and $25.00 on Batch, a 1,000,000-token window billed flat. The cache read went from $1.00 to $0.25, and it is the only line that moved. That matters more than it sounds, because Anthropic has priced a cache hit at exactly 0.1x base input on every model it has ever sold, from Haiku 3.5's $0.08 to the retired Opus 4.1's $1.50, and these two models are the first exceptions at 0.025x. The company acknowledges it in a footnote whose word 'standard' is carrying the whole change. Since one line moved, your saving is forced: 75% of whatever share of your Fable 5 bill was cache reads, ceiling 75%. Anthropic's quoted 25% and 45% decode exactly to cache-read shares of 33.3% and 60%, so the two headline figures are one claim about two workloads, and your own invoice answers it better than either. Also inside: why the break-even did not move at all, one read on the five-minute cache and two on the one-hour before and after, because the write premium sets that threshold and writes did not change; why a cache miss now costs 50 reads instead of 12.5, quadrupling what a badly-ordered prompt costs you relative to a correct one; how the untouched one-hour write went from 1.86x to 3.56x cheaper than the five-minute one across a sustained hour; a 40-turn coding session where Fable 5.1 on the default TTL bills exactly what Fable 5 on the one-hour cache billed, $13.68 both; why the flagship now reads cached tokens for half of what Opus 5 does and only 1.25x what Sonnet 5 does on a base price 5x higher; what batch and US-only inference do to $0.25 in both directions; and the fact that the second model on the new multiplier is one you cannot buy."])</script>
1<script>self.__next_f.push([1,"2c:T6e2,"])</script>
1<script>self.__next_f.push([1,"xAI, Google, Amazon and Microsoft all list Grok 4.6 at $2.00 per million input tokens, $0.50 cached and $6.00 output. Copy those three numbers into a spreadsheet and every venue ties, which is why every comparison we found stops there. The rate card is not where these four differ. xAI doubles all three lines once a prompt reaches 200,000 tokens and bills the doubled rate across the entire request, output included, and Google's Vertex table copies that structure exactly. AWS publishes a flat card for the full 500,000-token window with no tier on it at all. Microsoft publishes a flat card too, and the reason is the one thing nobody wrote down: Azure documents grok-4.6 with a 200,000-token context window, not 500,000. There is no long-context surcharge on Azure because there is no long context on Azure. The ceiling is the threshold, and it sells 40% of the model at 100% of the headline price. Priced on one 260,000-token agent turn at an 85% cache hit rate, the same model and the same request runs $473.00 per thousand on xAI and Vertex, $260.15 on Bedrock's In-Region card, $236.50 on Bedrock Global, $118.25 on Bedrock Flex, and does not run at all on Azure. Also inside: why Bedrock's most expensive tier still undercuts xAI's ordinary long-context rate by 12.5%; the single token that costs 43 cents on xAI and two millionths of a cent on Bedrock; why xAI's caching docs say cached tokens push you over the line rather than under it; the one-token-wide disagreement between Google's 'longer than 200K' and xAI's 'at or above 200k' that sits on the same threshold; why OpenRouter's Bedrock row contradicts AWS's own model card and which one we think is wrong; and the fact that xAI's launch post quotes $2 and $6 and never mentions the tier at all."])</script>
1<script>self.__next_f.push([1,"2d:T6fe,"])</script>
1<script>self.__next_f.push([1,"Hy4 preview landed on Thursday at 06:09 UTC: 770B parameters with 49B active, a 1,048,576-token window, Apache 2.0 weights, and one seller. Tencent published the same announcement in two languages with two currencies, ¥6, ¥18 and ¥0.30 per million tokens on the Chinese page and $0.834, $2.501 and $0.042 on the English one, and every writeup we found repeated the dollar figures without saying what they are. Divide any line into the other and the three of them pin one exchange rate to a window 0.040% wide, between 7.1957 and 7.1986. Friday's spot was about 6.73, so the international card is frozen roughly 7% above the market and the dollar price is 6.49% below what the yuan price converts to today. Hy3 is frozen too, at a different rate, somewhere between 7.5686 and 7.5829, and that is where the interesting number comes from: the dollar cards make Hy4 look 6.3182 times its predecessor on input when Tencent moved ¥1 to ¥6, which is 6.0000. The 5.30% nobody is reporting is a currency market, not a pricing decision. Hy3 preview supplies a third rate, between 6.6116 and 6.7227, and the three windows do not overlap, so this is not one stale number left to drift but a fresh one taken at each listing from something that is not the spot market. Also inside: why the rounding residue in $2.501 is the evidence, and why Hy3's card cannot be tested the same way; how a $0.042 cache line that looks like a 1.27x increase is really Tencent cutting the cache rate from a quarter of input to a twentieth; the evening discount OpenRouter applies to Hy3 that does not follow to Hy4 and that Tencent does not document anywhere; what a coding agent replaying one repository costs on eleven cards; and the 6.95% price rise Tencent could ship on Hy4 tomorrow by announcing nothing at all."])</script>
1<script>self.__next_f.push([1,"2e:T7a8,"])</script>
1<script>self.__next_f.push([1,"Introductory pricing has become the normal way to launch a model, so a growing share of the rates in your spreadsheet are offers with a clock on them rather than prices. We looked for every one carrying a provider-published expiry date. Eight clear that bar and they split down the middle: four price tokens, four price video. On the token side, GLM-5.3-Flash doubles on September 9 and got a week of coverage, while Upstage's Solar Pro 4 goes up tenfold the following evening, from $0.03/$0.12 to $0.30/$1.20, and we found nobody writing about it. On the video side, ByteDance is running three Seedance promotions at once and Alibaba's Wan 3.0 offer ends September 23. Excluding GLM-5.3-Flash, we could not find a single dated promotion on a text model from any Chinese vendor; every one is video generation, which is the finding rather than a footnote. Priced on one ordinary stack, these dates take a $605 month to $1,010 with no change to what you run, and 92.6% of that increase is the Gemini 3.6 and 3.7 Flash doubling on January 1 that nobody mentions, against 7.4% for the GLM expiry that dominated the week. The ninth entry is the interesting one: GPT-5.6 Sol's promotional $4/$20 is listed everywhere as expiring on November 21, but OpenAI's wording is 'available at least through' that date, which is a floor and not a deadline. Our own catalogue stored it as a cliff and would have raised the calculator's Sol estimate 40% on OpenAI's behalf for a change OpenAI never announced; this post removes it. Also inside: why no Gemini discount lever helps, since caching, Batch and Vertex Priority all come to exactly 2.00x across the date; why GLM-5.3-Flash stays 11.5x cheaper than Gemini Flash even after losing its promotion; why only 3 of 15 sellers charge GLM's promotional rate today; how Vercel ships two model IDs so you can choose whether a free tier ending is a bill or an outage; and the one increase in this window that a provider called off."])</script>
1<script>self.__next_f.push([1,"2f:T62d,"])</script>
1<script>self.__next_f.push([1,"Z.ai listed GLM-5.3-Flash at 13:59 UTC on August 26 and Alibaba listed Qwen3.8-Flash at 19:37. Every tracker shows the first at $0.075 per million input tokens against the second's $0.16, which reads as a rout and is a fortnight-long one. OpenRouter's endpoint API returns a discount field of 0.5 on Z.ai's own endpoint, and Z.ai's pricing page confirms what that means: the list card is $0.15, $0.03 cached and $0.50, and the halved rates expire on September 9 at 24:00 UTC+8. Six of the ten sellers already charge list, so the same MIT-licensed weights trade at a clean 2.00x spread this morning and OpenRouter's catalogue page reports only the bottom of it. To price the two cards against each other we recovered a real workload instead of inventing one: Artificial Analysis published a $138.02 total and 150M output tokens for GLM-5.3-Flash at list rates, which backs out to 420.13M input tokens. On those measured tokens the list card bills $138.02 and Qwen3.8-Flash bills $137.72, a gap of thirty cents, or 0.22%. Also inside: why GLM-5.3-Flash is cheaper on fresh input and dearer on both output and cached input, why Alibaba's automatic 10x cache discount beats Z.ai's manual 5x on any agent workload and flips the ranking outright, why a cache write costs Alibaba's customers 1.25x a fresh token and still pays off after two reads, why GLM-5.3-Flash cannot switch reasoning off while Qwen can cap it, why the flagship GLM-5.3 generates 1.70x faster than the model named for speed, and the scoring of our own August 24 estimate for this model, which came in 8.93x too high."])</script>
1<script>self.__next_f.push([1,"30:T64a,"])</script>
1<script>self.__next_f.push([1,"Every pricing page quotes dollars per million tokens and almost none of them say how many tokens a picture is. We collected the counting rules from seven labs, implemented them, and checked them against the vendors' own published examples. Anthropic's held up on all twelve figures of its table: 28-pixel patches, a resize that satisfies an edge limit and a token budget at once, and a tier split at Claude 4.7 that makes an identical 4K screenshot cost 1,560 visual tokens on Haiku 4.5 and 4,784 on Sonnet 5. OpenAI is the outlier and the story. GPT-5.6 Sol, Terra and Luna have no patch-budget limit on the detail settings original and auto, and auto is what you get by writing nothing, so a 4K frame bills 9,792 tokens and one thousand of them cost $39.17 against Opus 5's $23.92, despite Sol charging less per token. Setting detail to high takes 71.8% off. Alibaba ships the same capability with the flag defaulting the other way, and Qwen3-VL Plus lands at $0.4962 where GPT-5.6 Luna, at the identical $0.20 per million, lands at $1.9584. Also inside: why a 1080p, a 1440p and a 4K screenshot all cost the same 1,560 tokens on a standard-tier Claude model, why 1456x819 is the one resolution worth memorising and what pre-resizing to it saves on Opus 5, why the tool that generates screenshots fastest is the one where automatic downscaling is switched off, the one-pixel error in Anthropic's own table, Google's two documentation pages that cannot both be right, and why xAI is the only lab here we could not put a row against, because it still bills image tokens and deleted the rule that produces them."])</script>
1<script>self.__next_f.push([1,"31:T600,"])</script>
1<script>self.__next_f.push([1,"Tencent put its Hy-MT2 translation family on a metered API last week, three months after releasing the weights under Apache 2.0. We counted the actual tokens rather than estimating them: 3,000 segments of the WMT22 general test sets through Hy-MT2's own tokenizer, through OpenAI's o200k_base, and through the arithmetic on Google's pricing page. Localizing one million English characters into Chinese, German, Russian and Czech costs $0.4800 on the flagship card, $0.2877 on the 1.8B, $1.5145 on GPT-5.6 Luna and $80.00 on Google's default NMT card. The 166x headline is the least useful number in the table. Two findings matter more. Hy-MT2 publishes no cached-input rate on any of its three models, so the terminology and style control its own model card leads with is billed fresh on every request; a 400-token glossary prefix raises the English to German bill 244.5%, Luna absorbs the same prefix for 21.9% at its $0.02 cached rate, and a 3.02x price advantage collapses to 1.07x. And the token itself is not a fixed unit: Hy-MT2 encodes Chinese in 0.7875 of the tokens o200k_base needs and Russian in 1.5241 of them, so two labs can publish the same rate and bill 52% apart on identical text. Also inside: why the 7B is strictly dominated by the flagship at a byte-identical price, why Google's own NMT and Translation LLM cards swing 3.7x depending only on which direction you are translating, why the 4,096-token completion cap binds long before the 8,192-token context does, and the 23 output tokens per second nobody mentions."])</script>
1<script>self.__next_f.push([1,"32:T73e,"])</script>
1<script>self.__next_f.push([1,"An unattributed model appeared on OpenRouter on August 20 at 20:04 UTC priced at nothing, and the weekend went to guessing which lab owns it. The listing answers a more useful question. Ox Alpha's record matches Z.ai's GLM-5.3 on eight of nine descriptive fields OpenRouter publishes, including a default temperature of 1 with top_p 0.95, a 2098-12-31 expiration placeholder, and a reasoning block offering exactly max, high and low. The ninth field breaks the popular conclusion: Ox Alpha takes image and video input and GLM-5.3 takes text only, so this is a superset rather than a rebadge, and multimodal siblings do not usually arrive on the same card. The expensive detail is the reasoning block. Reasoning is mandatory and defaults to max, a combination only 3 of 422 listings carry, and the other two are GLM-5.3 and its alias. GLM-5.3 is the worked example of what that costs: three generations on one unchanged $1.40 and $4.40 card, and cost per Artificial Analysis task still rose from about $0.44 to about $0.68, because output went from 140M tokens to 170M. We priced one month of agent work, held identical, on every card Ox Alpha could land on: $0.00 today, $493.20 at the cheapest of GLM-5.2's 33 open-weight endpoints, $1,067.04 on GLM-5.3's single-seller card, $1,777.25 at the dearest. Output is 59.4% of that middle figure. Also inside: why the zero has no list price behind it, why Ox Alpha is the only free reasoning model on the platform with no companion row to read, why nothing in this family caches implicitly and what that does to the bill, the $0.5767 a single response can reach, why the seller with the lowest input rate finishes eighth on the actual bill, and where the August 27 end date everyone is repeating actually comes from, which is a six-day promotion by a coding tool rather than anything OpenRouter has published."])</script>
1<script>self.__next_f.push([1,"33:T6f0,"])</script>
1<script>self.__next_f.push([1,"OpenAI dropped GPT-5.6 Sol on August 21 under a headline of \"over 20%\", which undersells it on output and oversells it as permanent. Input fell 20% to $4.00, cached input to $0.40, output fell 33.3% to $20.00, and every derived cell followed exactly: cache reads stay 90% off, cache writes 1.25x input, batch and Flex half, Fast a flat 2x, and the above-272K rule still 2x input and 1.5x output. Twelve cells, two degrees of freedom. Put the new card beside Claude Opus 5 and every comparable ratio is 0.800000, on input, cached input, output and both batch legs, which makes the comparison mix-independent: we priced four very different workloads and Sol comes out at 0.8000 times Opus 5 on all four. Before Thursday it matched on input and was 1.2x on output, so Opus 5 won anything that generated a token. The catch is a date. OpenAI says the rate holds at least through November 21, and if it lapses Sol goes back to costing between 1.033x and 1.191x Opus 5 depending on how output-heavy the job is, so the uniform ratio is uniform only until it is not. Then there is the channel lag: Bedrock passed the cut through in two days and preserved its 1.1000x In-Region multiplier to the cent, while every Azure meter still carries a July 1 effective date and reads $5.00 and $30.00, turning parity into 1.25x input and 1.50x output. Eight channels, eight prices, 2.75x on input and 3.30x on output for one model on one day. Also inside: why our own August 17 Terminal-Bench post went stale in five days and what Sol's run reprices to, why the Daybreak Blue approval penalty grew from 10% to 37.5% and 65% without anything about the approval changing, why Terra is the tier that quietly lost, and the 62.5x that now separates the cheapest and dearest output rates in one family."])</script>
1<script>self.__next_f.push([1,"34:T52b,Z.ai put a per-token price on GLM-5.3 on August 18, four days after the model arrived reachable only through a subscription, and the price is interesting precisely because it is not new: $1.40 input, $0.26 cached, $4.40 output, identical to GLM-5.2 and to GLM-5.1 before it. Three generations, one card. Then Artificial Analysis published what its Intelligence Index actually costs to run, and that went from about $0.44 a task on GLM-5.2 to about $0.68 on GLM-5.3. Same rates, 55% more money, because the newer model spends 170M output tokens across the suite against 140M and 2.4 times the median for its class. It ties Kimi K3 at 60 on the index while costing $0.90 per million blended against K3's $2.31, but that single number hides a spread: K3 is 3.41x on output, 2.14x on fresh input and only 1.15x on cached reads, which is exactly the shape a coding agent runs at. The bigger omission in most coverage is that GLM-5.3 has one seller. GLM-5.2's MIT weights put it on 21 providers at a flat 76% below Z.ai's own card, so upgrading from a third-party GLM-5.2 costs 4.1667x more on both lines before the verbosity penalty. Also inside: why the weights are still not out on day eight of a two-week promise, why there is no batch lane at all, and why the much-quoted 50% off-peak discount never touches the metered API.35:T661,"])</script>
1<script>self.__next_f.push([1,"Anthropic made computer use generally available on August 19 and launched a browser tool beside it, publishing the token overhead for both, which almost no vendor does. Declaring browser_toolset_20260801 costs about 6,610 input tokens on Fable 5, Mythos 5, Opus 5 and Opus 4.8, and about 6,670 on Sonnet 5; the computer toolset costs about 4,520. Those are fixed and they land on every request, so on Fable 5 the browser figure is 6.6 cents before Claude does anything at all. The computer-use beta charged 1,201 to 1,234 tokens for the same job, though part of that gap is the newer tokenizer rather than the toolset, which puts the like-for-like rise nearer 2.8x to 4.2x. The fix is one line: Anthropic explicitly supports cache_control on the toolset entry, refuses it inside a member's configs because the members load as one definition, and bills cache reads at a tenth of input. A 50-turn loop on Opus 5 then pays $0.20 in definitions instead of $1.65, a ratio of 8.13x that holds for every model at every price because both the token count and the rate cancel out. Also inside: why changing a tool definition clears the whole cache, the July beta that exempts four models from exactly that, why batch actions quietly eat your four breakpoints, why a 1920x1080 screenshot is 2,691 visual tokens rather than 1,560 and costs more per turn than the cached toolset, why an oversized screenshot is a validation error rather than an expensive request, why Bedrock sells only the legacy tool and browser use not at all, and the tool-use baseline Anthropic publishes for thirteen models but not for the two dearest ones on its own API."])</script>
1<script>self.__next_f.push([1,"36:T730,"])</script>
1<script>self.__next_f.push([1,"AWS publishes five Bedrock model cards for GPT-5.6 and only three of them have a cheap row. Ordinary GPT-5.6 Sol carries three routing options, and the Global cross-region profile bills $5.00 and $30.00 per million tokens, matching OpenAI's own card to the cent on input, output, cache reads and cache writes. In-Region and Geo are identical to each other at $5.50 and $33.00, which is 1.1000 times direct on every line and both context tiers, exact to four decimal places with no rounding residue. The sharper finding is the card almost nobody has opened: Daybreak Blue is GPT-5.6 Sol with safeguards recalibrated for defensive work, and its card has no Geo or Global row, so a team that went through identity verification and legal attestations pays 10% more for the same weights than a team that never asked. The obvious explanation for that is wrong, and the ungated GPT-5.5 is what disproves it: the cheap row tracks the endpoint, not the gating. All three OpenAI models served on bedrock-runtime carry Global profiles and all four reachable only through bedrock-mantle do not, gated or not. Because the multiplier is flat, caching buys no relief either, which inverts the Grok 4.6 story where only the cache line moved. And the largest gap here is not the 10% at all: Bedrock supports neither Batch nor Flex on any GPT-5.6 model while OpenAI sells both at half price, so Bedrock's floor is exactly 2x OpenAI's. On 40M input and 8M output a month that is $220.00 against $484.00. Also inside: why Global is better described as 9.09% cheaper than In-Region than as a 10% surcharge, why most non-US teams cannot buy the Geo row at all, the $17.1875 that gives away how these cards were generated, the 400,000 against 272K context window that OpenAI and AWS openly disagree about, and why the seven priced cards we found are all OpenAI's."])</script>
1<script>self.__next_f.push([1,"37:T572,"])</script>
1<script>self.__next_f.push([1,"Agent leaderboards almost never tell you what the run cost. This one has a COST column and a TOKENS column next to the score, split per row into output, prompt and cached tokens, to the cent. We reproduced four of the ten cost figures exactly from those splits, and the four that reproduce reveal which rate card each run was billed at. All three Codex rows carry a July 9 date and ran before OpenAI's July 30 repricing: Sol's card did not move that day and reproduces at today's rates, while Terra and Luna reproduce only at the pre-cut card, $2.50 and $15.00 for Terra and $1.00 and $6.00 for Luna. Repriced at what you would pay this morning, Luna's run falls from $1,597.50 to $319.50 and its cost per solved task from $30.19 to $6.04, which is 3.54x cheaper than Grok 4.6, the cheapest row we trust as published. That moves ninth place on the board to first on cost. This is not an error by the benchmark, which is right to record what a run actually cost; it is a trap for anyone reading a dated receipt as a live quote. Also inside: why cached input is 92% to 98% of all tokens on every run and 61% to 73% of the bill, why Sonnet 5 burned 17.95 billion tokens to finish 54 trials and posted the largest bill on the board at a fifth of Fable 5's list price, why Grok 4.5 scores 83.3% on Terminal-Bench 2.1 and 15.7% on 3.0, and the six rows whose arithmetic we could not reconcile at all."])</script>
1<script>self.__next_f.push([1,"38:T5aa,"])</script>
1<script>self.__next_f.push([1,"At 16:00 UTC today DeepSeek's rate card split in two. V4-Flash goes from a flat $0.14 and $0.28 per million tokens to $0.22 and $0.66 for seventeen hours a day and $0.44 and $1.32 for the other seven; V4-Pro goes from $0.435 and $0.87 to $0.66 and $1.98, then $1.32 and $3.96. Off-peak is defined as exactly half of peak on every line, so this is one price rise wearing two hats rather than a discount bolted onto an old card. Six rates became twelve and not one of the six multipliers matches another, which is the actual story: input moved least, at 1.57x, and cache reads moved most, with a V4-Pro cache hit at peak costing 12.14 times yesterday's price. That inverts the usual shape of a price rise, because the teams who cached hardest now pay the largest increase - on an 80% cache hit job the rise is 2.11x against 1.80x uncached. Underneath it both cards were rebuilt from a 2:1 output ratio to 3:1 and the Pro premium settled at exactly 3.00x. We published a 2.14x headroom estimate on August 8 and it straddles: off-peak fits inside it, a round-the-clock blend at 2.32x does not. Also inside: why the UTC windows are June's Beijing windows in disguise, why an American team never pays peak and a Berlin team loses its whole morning, the point at which gpt-5.6-luna becomes the cheaper option, the GA build of V4-Pro that landed three days before the card, and the fact that the most expensive place to buy DeepSeek V4-Flash is now DeepSeek."])</script>
1<script>self.__next_f.push([1,"39:T6a2,"])</script>
1<script>self.__next_f.push([1,"xAI shipped Grok 4.6 on August 12 and put it on the rate card of the model it succeeds. Input $2.00, output $6.00, a 500,000 token window, and the same doubling at 200,000 prompt tokens. Four lines, four exact matches, which is why every tracker will call this a like-for-like upgrade. The fifth line is cached input and it went from $0.30 to $0.50 per million, so the cache discount fell from 85% off to 75% off. That reads like rounding error until you notice which workloads it applies to. A coding agent replays its context every turn, so cache reads are most of what it buys, and the increase scales with how well you cache: about 9% more at a 50% hit rate, 25% at 80%, 38% at 90%, and 62% at 99%. The teams who did the most work to control their spend pay the most for the upgrade. Hold a 400M input and 20M output month constant at a 90% hit rate and the bill goes from $308.00 to $380.00, then to $436.28 once you add the 46.9% more output tokens per task that Artificial Analysis measured. AA's own run is the cleanest read on it: cost per index task rose 132.4% from $0.3601 to $0.8367 for a 9.3% intelligence gain, with non-cached input spend flat at about $24 and the entire increase landing on cache reads and cache writes. Also inside: why cached tokens count toward the 200K cliff and can push you over it on their own, the 25% cache-to-input ratio that is now the shallowest of any frontier model against an industry standard of 10%, why xAI rejects rather than discounts batch requests on both models, the Terminal-Bench version mismatch that makes 26% and 88% look comparable when they are not, and the fact that grok-build-latest still resolves to Grok 4.5 at the old cache rate."])</script>
1<script>self.__next_f.push([1,"3a:T674,"])</script>
1<script>self.__next_f.push([1,"Gemini 3.7 Flash went GA on August 13 at $0.75 input and $3.75 output per million tokens, and the coverage all repeated the same framing: half the price of 3.6 Flash. Google's own words are narrower and more precise, which is that this is half the original 3.6 Flash cost. The word doing the work is original. Wayback snapshots of Google's pricing page 38 hours apart settle it: on August 12 Gemini 3.6 Flash was $1.50 and $7.50 flat, with no introductory language and no end date anywhere on the row. On August 13 it reads $0.75 and $3.75 through December 31, 2026. Google discounted the outgoing model by exactly 50% on the same day it launched the new one, then marketed the new one as the price cut. So switching from 3.6 Flash to 3.7 Flash today changes your invoice by $0.00, and Google's own Gemini 3.7 Flash model card prints both models at $0.75 and $3.75 in the same comparison table. The number that does move is dated. Every line on both cards, input, output, cached input, cache storage, both batch legs and the Vertex Priority tier, is exactly 2x on January 1, 2027, which means caching and batching save the same percentage on both sides of the date and neither one buys you out of it. Price 30M input and 6M output a month and it is $45.00 now and $90.00 in January, which is the day Gemini 3.7 Flash stops undercutting Claude Haiku 4.5 at $60.00 and starts costing 1.5x of it. Also inside: why Artificial Analysis still shows a 2x gap between the two Flash models that no longer exists, the two benchmark rows where 3.6 Flash beats its replacement, and why a flat card with no context tier is worth more this week than the discount is."])</script>
1<script>self.__next_f.push([1,"3b:T67e,"])</script>
1<script>self.__next_f.push([1,"Meta shipped a 30B dense model under Apache 2.0 on August 10, its first open weights in more than a year, and named twelve launch partners. Nine are local runtimes. Of the three selling hosted inference, Fireworks never shipped a listing, and OpenRouter turns out to be a storefront: its endpoints API returns a single entry, provider name Together, at the same two numbers Together prints itself. So the whole published market is one rate card, which is the opposite of what open weights usually do. gpt-oss-120b sells from $0.03 to $0.35 per million input across its hosts and Gemma 4 31B from $0.08 to $0.99, spreads of 11.7x and 12.4x that exist only because hosts undercut each other. Muse Glimmer's spread is 1.0x, and its single price lands exactly at the top of gpt-oss-120b's range. Price a month of agent traffic at 40M input and 4M output and it comes to exactly $20.00, against $1.88 for gpt-oss-120b, $4.60 for Gemma 4 31B, both also Apache 2.0, and $12.80 for GPT-5.6 Luna, which is not open at all. It beats Gemini 3.5 Flash-Lite at $22.00 and Claude Haiku 4.5 at $60.00, and that is the whole of its price advantage. The competitive floor is not another host: the 4-bit quantisation is 15.9 GB and fits a 24 GB card, and at $1.50 per million output a $2,500 GPU pays for itself after about 83 days of continuous generation. Also inside: why Meta's own benchmark table wins five rows of nine and loses two by around nine points, the 60.7 TerminalBench score being circulated for Muse Glimmer that actually belongs to Qwen, the 82% hallucination rate against Qwen3.6 27B's 49%, and the two context-window figures in circulation that are both wrong."])</script>
1<script>self.__next_f.push([1,"3c:T63c,"])</script>
1<script>self.__next_f.push([1,"Three endpoints go dark next Monday, and the retirement changes the billing unit rather than just the number. Imagen 4 sold an image for a flat $0.02, $0.04 or $0.06 that did not care about resolution, so 2048 by 2048 output cost the same as 1024 by 1024. Gemini 3.1 Flash Image bills image output at $60.00 per million tokens instead, so the same picture costs 747 tokens at 0.5K and 2,520 at 4K, or $0.045 to $0.151. Coming off Fast at 1K that is 3.36x. A 2K image is 2.52x from the Standard tier, and Ultra customers pay 12% more and can stop reading. Two things we did not expect sit underneath that. Five Google pages split two ways on where to migrate, over a 72% price difference, and the two freshest of them, the pricing page updated August 5 and the Vertex model card updated August 4, both point at Gemini 2.5 Flash Image, which shuts down on October 2 and whose own listed replacement died in June. Follow the newest advice and you migrate twice in seven weeks. Meanwhile Gemini 3.1 Flash Lite Image, GA since June 30 with no end-of-life date, bills at half the Flash Image rate: $0.0336 standard and $0.0168 batched, which is cheaper per image than Imagen 4 Fast has ever been. It is named in none of the notices. At a thousand images a day the range between two readings of the same instruction is $504 a month against $3,024. Also inside: the two cost lines an Imagen invoice never had, one of which Google publishes no number for, the two live Google pages that disagree about which Imagen tiers ever supported 2K, and the finish reason that returns success with no picture in it."])</script>
1<script>self.__next_f.push([1,"3d:T615,"])</script>
1<script>self.__next_f.push([1,"OpenAI's changelog for August 5 is one sentence long and mentions no price: Fast mode now supports long-context requests for GPT-5.6 Sol, Terra and Luna. What it does is let two pricing rules meet on the same request for the first time, because the faster of the two had been refusing those requests outright. The result is that Sol bills $20.00 per million input tokens and $90.00 per million output, four times and three times its ordinary card, and that figure is not our projection but a cell on OpenAI's own pricing page. The rule producing it is written nowhere. The word stack appears on none of the relevant pages, the 272,000 token threshold is defined only on individual model pages, the pricing table labels its columns Short and Long context without saying where the line falls, and the Fast guide gives no multiplier at all. Because the surcharge reprices the entire request rather than the excess, one token past 272,000 costs $1.36 on Sol and $2.72 in Fast mode. A 300K job billing $3.90 on standard costs exactly what the 270K version costs in Fast mode, so trimming a prompt can fund the speed upgrade outright. And an open Codex issue from July 11 describes a default configuration with roughly 353,400 usable tokens against a 272,000 threshold, which is 81,400 tokens of exposure nobody opted into and 2.6x the input bill. Also inside: why Anthropic shipped this exact 2x and 1.5x rule in 2025 and deleted it in March, why the Opus 4.6 long-context premium in your spreadsheet is not real, and the correction we owe our own August 1 post."])</script>
1<script>self.__next_f.push([1,"3e:T5ee,"])</script>
1<script>self.__next_f.push([1,"Session budgets shipped for Claude Managed Agents on August 7. Set budget.max_list_cost.amount to \"2500\" and the session stops at $25, which is the first real answer to the only question anyone asks about agents: how much can this possibly cost me. Then the details arrive. The meter counts three things and only one is tokens, because web searches go in at $10 per 1,000 and the wall clock goes in at $0.08 per hour, which means that on Haiku 4.5 anything under 35,556 input tokens an hour is a bill made mostly of time. It meters at public list price, which Anthropic states outright is not your contracted price, so a 20% discount stops your work at $20 of real spend. And it is checked between requests rather than during them, so the documented example is a session capped at 50 cents settling at 53. We put a number on that margin: one maximal request is $0.24 on Haiku 4.5 and $16.40 on Fable 5, so the same $25 cap is accurate to 1% on one model and 66% on another. The sharpest finding is a silence. The same August 7 release let you pin inference_geo to \"us\", which prices Claude 4.6 and later at 1.1x across input, output, cache writes and cache reads, and the budgets documentation does not mention it once, nor does the page defining list_cost. So nobody outside Anthropic can say whether a $25 cap invoices $25 or $27.50. Also inside: why \"25\" is more dangerous than \"25.00\", why removing a budget is a one-way door, and the limited-availability model whose presence on a roster strands a capped session."])</script>
1<script>self.__next_f.push([1,"3f:T582,"])</script>
1<script>self.__next_f.push([1,"A three-sentence notice went up on DeepSeek's pricing page on August 6, as footnote number two under the rate table. No percentage, no per-model breakdown, no effective date, and the word significant carrying the entire announcement. So we priced the headroom instead of guessing the rise. On a fixed job of 10M input and 2M output tokens, DeepSeek V4 Flash bills $1.96. The next cheapest mainstream option, Qwen3.7 Flash, bills $4.20, and only below 32K input. gpt-5.6-luna bills $4.40. DeepSeek can raise its entire card 2.14x and still be the cheapest capable model you can rent, and at an 80% cache hit rate that headroom widens to 3.20x because a 98% cache discount compounds against everyone else's 80% or 90%. One number fits inside that gap and it is DeepSeek's own: when its V3 promotion ended in February 2025, output went up 4x, input miss 2x and cache hits 5x. Apply those same multipliers to today's card and the job costs $5.04, past Qwen and past luna for the first time, with the cached version landing five cents from luna on twelve million tokens. Also inside: the peak-hour surcharge DeepSeek published in June has quietly disappeared from both language versions of the page, the CNY and USD cards imply two different exchange rates, and this is the rare price rise you can walk away from without changing models, because the weights are MIT and third-party hosts already sell them for less."])</script>
1<script>self.__next_f.push([1,"40:T59d,"])</script>
1<script>self.__next_f.push([1,"Ant Group put a 124B MoE on the API on July 23 and did not open the weights until August 2, one day before the free trial expired. What shipped is good: 5.1B active parameters, 256K context, MIT licence, and the top intelligence score in Artificial Analysis' cheap-model class. What did not ship is a price. Novita and Vercel list $0.06 input and $0.18 output. OpenRouter and ZenMux both sell at $0.021 and $0.063, exactly 65% off, with no published end date and by way of different suppliers. DeepInfra charges $0.075 and $0.22 and gives you half the context. Artificial Analysis priced its benchmark run at that dearest card, so its published $72.70 is the worst of the three: reprice its own measured token counts and the same run is $59.13 in the middle and $20.70 on the promo. The number that actually decides this is the cache discount, not the sticker. Ling takes 80% off a cached token where DeepSeek takes 98%, so at the 82.84% hit rate ZenMux reported on August 6, DeepSeek's 1.87x higher sticker blends to $0.02634 per million input against Ling's $0.02530, and the two cross over entirely at 84.2%. Above that the dearer-looking model is the cheaper one. Also inside: why 26,442 of the 35,774 output tokens per task are reasoning that runs by default, why the int4 checkpoint fits on one H100 but leaves less room than the GB figure suggests, and why five of Ant's headline benchmark scores exist only as pixels in an image."])</script>
1<script>self.__next_f.push([1,"41:T52c,Muse Spark 1.2 shipped on August 5 with a second model ID beside it. muse-spark-1.2-contributor bills $0.10 input, $0.002 cached input and $0.20 output against $1.25, $0.15 and $4.25 on the standard SKU. Same weights, same 1,048,576-token context, and the only difference is that Meta trains on what you send. Inverted, the discount is a bid: Meta is offering $1.15 per million uncached input tokens, $0.148 cached and $4.05 output, which on a month of agentic coding settles at about $0.35 per million tokens of traffic regardless of your mix. Two things the launch coverage missed. The cache discount is 75x against 12.5x on input, so a cached token costs 12% of a fresh one on the standard tier and 2% on the contributor tier, and the rate limits cut requests 50x while cutting tokens only 1.9x. Both select for the same thing: a small number of very large calls with repeated prefixes, which in a coding agent is your repository. And the price it all lands on is not a floor. Laguna S 2.1 sells at the identical $0.10 and $0.20 across several hosts with no data condition on the paid endpoint, while Qwen3.7 Flash blends to 44% of it. Also inside: why 60 requests per minute rules this out as a production tier, what the discount is bounded at, and why Meta documented its benchmarks carefully and its prices not at all.42:T498,xAI repointed the grok-voice-latest alias today, taking anyone who used it from $0.05 a minute of audio to $0.08. That is $3.00 an hour becoming $4.80 for a codebase that did not change a character, and the announcement frames it as an upgrade needing no action. The quality is genuinely better: 75.7% to 82.9% on Artificial Analysis' Speech to Speech Index, with time to first audio nearly halved to 0.70s. Two things the coverage missed. That 82.9% is second place, behind Alibaba's Qwen Audio 3.0 Realtime Plus at 84.1%, which also costs less per hour at $4.42 against $4.80, and which xAI's own comparison table omits entirely. And the number you would need to budget any of this is undocumented: xAI meters \"audio sent or received\" without saying whether a two-way minute bills once or twice. Read it as wall clock and Grok undercuts gpt-realtime-2.1 by 17%. Read it as both streams and it is 67% dearer. Also inside: why the $0.004 text line is a flat per-event fee rather than a token rate, why two models on an identical OpenAI rate card differ 2.6x in Artificial Analysis' cost column, and why a 0.4x reduction in reasoning tokens does not reach a per-minute invoice.43:T4b4,Alibaba took its 2.4T-parameter flagship to general availability on August 3 and every gateway now quotes $2 input and $6 output per million. Model Studio does not. The newest Max on Alibaba's own pricing table is still 3.7, which is running a limited-time 50% cut that lands it at $1.25 and $3.75, cheaper than the model replacing it. The $2 comes from OpenRouter, Vercel and six other resellers, and the ones that disagree are not disagreeing: AIHubMix is 0.845x the baseline on both legs, Deep Infra is 0.825x on both, CrossModel 0.94x. Flat wholesale discounts, one rate card. What does move is the token count. Artificial Analysis measured Qwen3.8-Max generating 150M tokens across its Intelligence Index against a 63M median, so a card priced 60% below Kimi K3 on output produced a bill only 11.4% smaller, $2,159.51 against $2,437.41. Reprice a normal agent job by measured verbosity instead of list rates and the gap to GPT-5.6 Sol falls from more than triple to 44%. Also inside: the two different overnight discounts being conflated across every writeup of this launch, why the cache rates break Alibaba's own documented percentages, and the one arithmetic clue suggesting $2 is itself a promo.44:T406,Alibaba priced its newest cheap tier at $0.03 input and $0.13 output, which is the lowest sticker on any 1M-context model you can call today. It is also only one of three prices. The rate card steps at 32K and again at 256K of input, and the step is not marginal: cross 32,000 tokens by one and the whole request reprices, so a 32,001-token prompt costs exactl"])</script>
1<script>self.__next_f.push([1,"y what 115,670 tokens would have cost a moment earlier. Run the second tier through a normal 3:1 blend and you get $0.175 per million, which is DeepSeek V4 Flash's blended price to the hundredth of a cent. Go past 256K and DeepSeek is cheaper on input by 1.43x and on output by 2.86x, on a flat card with no steps at all. The part that decides it: Alibaba published no benchmarks for this model, and Artificial Analysis does not list it, so there is no measured score to put against any of those prices. Also inside: why the cache discount does not close the gap, why international callers get no batch tier, and the 25% markup on the Singapore endpoint nobody mentions.45:T430,On July 31 DeepSeek pushed a new build behind an endpoint that already existed, kept the model ID, kept the architecture and kept every number on the rate card. What moved was the score: Artificial Analysis measures DeepSeek V4 Flash at 50, ten points above the April build, which lands it in a crowd. Eleven live configurations now sit between 48.95 and 51.60, a spread of 2.65 points, with list prices running from $0.175 to $11.25 per million on a 3:1 blend. Sixty-four times, for scores you would struggle to tell apart. The interesting part is what happens when you stop trusting that 64x. DeepSeek reaches 50 by writing 206 million tokens where Claude Opus 5 writes 12 million, so once you price the same benchmark suite instead of the same token count, the gap collapses from 51x to 7.7x. Also inside: why the 98% cache discount does most of the work, why Artificial Analysis shows this model at both $0.06 and $0.175, what the -16 Omniscience score and 84% hallucination rate actually measure, and the 2x peak surcharge DeepSeek has published without a start date.46:T4a3,Latency stopped being a capacity commitment and became a per-request purchase in the space of eight days. Anthropic closed Priority Tier to new buyers and left it unsupported on Opus 5, Sonnet 5 and both Mythos models; OpenAI renamed Priority Processing to Fast mode on July 30 and raised the speed it targets. Both charge exactly 2x. The rate card now spans 4x from Batch to Fast on identical weights, which is a wider gap than most of the model-to-model differences people agonise over. And the thing being sold on that top rung is the one number nobody independently measures: Artificial Analysis is barred from publishing it by a methodology that excludes priority queues, and OpenRouter returns null for throughput on Opus 5 Fast. One contractual figure exists in the entire category. OpenAI guarantees 99% of Sol Fast requests above 80 output tokens per second, which against a measured standard-tier 63.5 is a floor of 1.26x for a price of 2x. Also inside: why a 300K-token prompt already pays the Fast input rate and gets none of the speed, why Anthropic's full-context Fast pricing may matter more than OpenAI's SLA, and why Cerebras sells 6x the throughput for 1.85x the price.47:T41b,Labs almost never publish what a task cost them. On July 28 Anthropic did, twice: roughly $100,000 per result, one billion output tokens, about 60 hours of work on the HAWK attack. Run those against the rate Anthropic publishes for Claude Mythos Preview, which is $25/$125 per million on the Project Glasswing page, and the output tokens alone bill $125,000, more than the whole result supposedly cost. The explanation sits on the same page: Anthropic committed $100M in usage credits to the preview, so this is a cost-of-goods number rather than an invoice. Price the same workload on cards you can actually buy and the useful finding appears. On the $10/$50 card output is exactly half the budget; on Opus 5's $5/$25 it drops to a quarter, leaving $75,000 of input. The input-to-output ratio runs somewhere between 5:1 and 50:1 depending on cache hit rate, which is the number nobody budgets for. Also inside: why a billion tokens in a week implies 21 to 41 agent streams running nonstop, and what the human verification bill looked like next to it.48:T451,Updated August 16. Anthropic has withdrawn the increase it had scheduled for Septemb"])</script>
1<script>self.__next_f.push([1,"er 1: its pricing docs now state that the $2 and $10 announced at launch as introductory through August 31 is the standard price, and that the move to $3 and $15 will not occur. That reverses the premise this post was written on, so the whole thing is now a record of a plan rather than a warning about a date. What survives the reversal is the part that was never about the calendar. Sonnet 5 still bills a third less per token than the Sonnet 4.6 it replaces, and its newer tokenizer still produces roughly 30% more tokens for the same text, so the real saving on identical work is nearer 13% than 33%. The Artificial Analysis per-task numbers still show why that matters: $1.53 per task at $2/$10 against Opus 4.8's $1.99, where the cancelled $3/$15 card would have put Sonnet 5 at $2.29 and made Anthropic's mid-tier model dearer per finished job than the flagship above it. The crossover was real arithmetic on a card that no longer exists. Corrected headline, summary and FAQ; body left standing and clearly marked."])</script>
1<script>self.__next_f.push([1,"15:[\"$\",\"$L1d\",null,{\"posts\":[{\"slug\":\"qwen3-8-max-prime-glm-5-3-prime-pricing\",\"title\":\"Alibaba charges double for Prime on Qwen3.8 Max and GLM-5.3. On Qwen it buys 1.6x to 1.9x the speed. On GLM-5.3, Alibaba's own standard endpoint is faster, and Decart is 3.4x faster for 42% of the price.\",\"excerpt\":\"Alibaba's new Prime mode sells Qwen3.8 Max at $4/$12 and GLM-5.3 at $2.80/$8.80, twice the standard cards, for a promised 1.5x to 2x throughput. OpenRouter's endpoint stats show Qwen Prime at 58 to 70 tokens a second against 36, with first token under a second. GLM-5.3 Prime measured 64, below Alibaba's own standard GLM endpoint at 75 and far below Decart, Mistral and Baseten. Also inside: how OpenAI's Fast and new 6x Ultrafast tiers measure up, and why GLM-5.3 Prime isn't a Z.ai product.\",\"date\":\"October 3, 2026\",\"readTime\":\"6 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Qwen3.8 Max Prime vs GLM-5.3 Prime: Worth 2x?\",\"metaDescription\":\"Alibaba's Prime tier doubles the price of Qwen3.8 Max and GLM-5.3. Qwen gets 1.6-1.9x faster. On GLM-5.3, standard hosts beat it for under half.\",\"ogImage\":\"/blog/qwen3-8-max-prime-glm-5-3-prime-pricing-og.webp\",\"heroImage\":\"/blog/qwen3-8-max-prime-glm-5-3-prime-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-6-luna-pricing\",\"title\":\"GPT-6 Luna's tokens cost a twentieth of GPT-6.1 Sol's. On Artificial Analysis a finished task costs about half, and Sol on low effort scores five points higher than Luna on max.\",\"excerpt\":\"GPT-6 Luna lists at $0.10 in, $0.01 cached and $0.50 out, half of GPT-5.6 Luna and 1/20th of GPT-6.1 Sol. Per task the picture changes: Luna at max scores 37 for $0.07, Sol at low scores 42 for $0.13. Luna's real case is its default medium setting at two cents a task. Also inside: Xiaomi's MiMo-V2.6-Flash beating Luna on both indexes for less, the 272K line that doubles a request, Bedrock's 10% regional uplift and the September 25 image fix.\",\"date\":\"October 2, 2026\",\"readTime\":\"6 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GPT-6 Luna Pricing: $0.10/$0.50 vs Sol Per Task\",\"metaDescription\":\"GPT-6 Luna costs $0.10/$0.50, a twentieth of GPT-6.1 Sol. Per task the gap is 1.9x, and Sol on low scores 5 points higher than Luna on max.\",\"ogImage\":\"/blog/gpt-6-luna-pricing-og.webp\",\"heroImage\":\"/blog/gpt-6-luna-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-4-argon-pricing\",\"title\":\"Gemini 4 Argon launches on GPT-6.1 Sol's rate card and is scheduled to move to Claude Opus 5.5's. On Artificial Analysis, Opus 5.5 at high effort already scores higher than Argon for less than Argon's introductory price.\",\"excerpt\":\"Google priced Gemini 4 Argon at $2 in, $0.10 cached and $10 out for an introductory period with no end date, then $4, $0.20 and $20. The first card is GPT-6.1 Sol's to the cent, the second is Opus 5.5's. On the same prices Argon spends far more tokens: Artificial Analysis has it at 53 for $1.99 a task, 2.76x Sol's max run for one point, and Opus 5.5 on high scores 54 for $1.82. Vals points the other way, with Argon first of 41 at about half Opus 5.5's cost per test. Also inside: who can actually call it today, the 1M output claim, and what the model doesn't have yet, starting with a model ID.\",\"date\":\"October 1, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemini 4 Argon Pricing: $2/$10 Now, $4/$20 Later\",\"metaDescription\":\"Gemini 4 Argon costs $2/$10 now and $4/$20 later: GPT-6.1 Sol's card, then Opus 5.5's. It scores 53 on AA for $1.99 a task.\",\"ogImage\":\"/blog/gemini-4-argon-pricing-og.webp\",\"heroImage\":\"/blog/gemini-4-argon-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-6-1-sol-pricing\",\"title\":\"GPT-6.1 Sol changed one number on GPT-6 Sol's rate card, cached input, from $0.20 to $0.10. The bigger cut is in the tokens: on medium it matches GPT-6 Sol's best score for a fifth of the cost per task.\",\"excerpt\":\"OpenAI shipped GPT-6.1 Sol at DevDay on September 29 at $2 in and $10 out, with cached input halved to $0.10 on every tier. On agent loops at 90% to 95% cache hits that is 16% to 24% off the bill. Artificial Analysis puts it at 52 for $0.72 a task on max, against GPT-6 Sol's 48 for $1.05, and at 48 for $0.21 on medium. Vals has it 57% cheaper per test. Sonnet 5.5 shares every other line of the card, scores higher, costs 10.5x as much per task on AA at max, and stays cheaper past 272K tokens. Also inside: the effort setting that errors on 6.1, Astra at 4.5x for one point, and Azure's 20% EU uplift.\",\"date\":\"September 30, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GPT-6.
11 Sol Pricing: Half-Price Cache, Cheaper Tasks\",\"metaDescription\":\"GPT-6.1 Sol keeps $2/$10 and halves cached input to $0.10. On Artificial Analysis it scores 52 at max for $0.72 a task, 31% under GPT-6 Sol.\",\"ogImage\":\"/blog/gpt-6-1-sol-pricing-og.webp\",\"heroImage\":\"/blog/gpt-6-1-sol-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-sonnet-5-5-pricing\",\"title\":\"Claude Sonnet 5.5 kept Sonnet 5's $2 and $10. Of its five effort settings, one is ever the cheapest way to its score, and it is the one the API picks when you leave effort unset.\",\"excerpt\":\"Sonnet 5.5 shipped September 28 on Sonnet 5's card to the cent: $2 in, $0.20 cache hit, $10 out, which is also GPT-6 Sol's. Anthropic says it costs up to 30% less per task. On Artificial Analysis's index it is 42% and 44% cheaper than Sonnet 5 on medium and high and 13 to 15 points better, and on medium it beats Sonnet 5's best for a tenth of the money. On max it costs 28% more, after spending about 193,000 output tokens per task. Put all fifteen settings of Sonnet 5.5, Opus 5.5 and GPT-6 Sol on one ladder and ten survive: Sol holds every score up to 44, Opus 5.5 everything from 51, and the only Sonnet 5.5 setting left standing is high at 46.7 for $1,176, which is the API default. On max, Sonnet 5.5 costs more than Opus 5.5 on max and scores lower, and Opus on xhigh matches its score for 2.2x less. Also inside: Anthropic's own cost-per-task charts, the Terminal-Bench exception, and the breaking changes that will hit old code first.\",\"date\":\"September 29, 2026\",\"readTime\":\"9 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Claude Sonnet 5.5 Pricing: Cost per Task by Effort\",\"metaDescription\":\"Sonnet 5.5 keeps $2/$10. At high effort it is the cheapest route to its score; at max it costs more than Opus 5.5 max and scores lower.\",\"ogImage\":\"/blog/claude-sonnet-5-5-pricing-og.webp\",\"heroImage\":\"/blog/claude-sonnet-5-5-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-opus-5-5-vs-gpt-6-sol-pricing\",\"title\":\"Claude Opus 5.5 lists at exactly twice GPT-6 Sol. Run both flat out and Opus costs 5.6x as much; run Opus at its own default and it outscores Sol's best setting for 5% more money, and past 272K tokens it is the cheaper bill.\",\"excerpt\":\"Anthropic and OpenAI shipped their new mid-price flagships about 90 minutes apart on September 22. Opus 5.5 is $4 in, $0.20 cache hit, $20 out; GPT-6 Sol is $2, $0.20 and $10. Cache reads are the one line where they match. Artificial Analysis ran both at every effort level: at max, Opus 5.5 scored 58 for $8,708 to run the index and Sol scored 48 for $1,550, a 5.6x bill. But Opus at medium, its new default, scores 51 for $1,627, which beats Sol at max by three points for $77 more, and finishes each task faster. Past 272,000 input tokens Sol's whole request doubles on input and cache and goes 1.5x on output, so at 90% cache hits a 400K-token agent turn costs $0.272 on Opus and $0.334 on Sol. Also inside: why Opus 5.5 at max costs more per task than Opus 5 despite a card 20% lower, what Anthropic's 40% claim is actually scoped to, and the Batch card that makes Opus 5.5 cost exactly what Sol does.\",\"date\":\"September 28, 2026\",\"readTime\":\"10 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Claude Opus 5.5 vs GPT-6 Sol: Cost per Task\",\"metaDescription\":\"Opus 5.5 is $4/$20, GPT-6 Sol $2/$10. At max effort Opus costs 5.6x more to run; at its default it beats Sol's best for 5% more. Past 272K, Opus wins.\",\"ogImage\":\"/blog/claude-opus-5-5-vs-gpt-6-sol-pricing-og.webp\",\"heroImage\":\"/blog/claude-opus-5-5-vs-gpt-6-sol-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-rosalind-pricing-billing-october-5\",\"title\":\"OpenAI put a price on GPT-Rosalind for the first time: $5, $0.50 and $25, which is Claude Opus 5's card to the cent and $5 under the GPT-5.5 it is built on. The meter does not start until October 5, and there is still no page saying how much context the money buys.\",\"excerpt\":\"$1e\",\"date\":\"September 15, 2026\",\"readTime\":\"12 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GPT-Rosalind Pricing: $5/$25, Billing From October 5\",\"metaDescription\":\"GPT-Rosalind is $5 in, $0.50 cached, $25 out: Claude Opus 5's card to the cent, $5 under GPT-5.5. Billing starts October 5. No spec page.\",\"ogImage\":\"/blog/gpt-rosalind-pricing-billing-october-5-og.webp\",\"heroImage\":\"/blog/gpt-rosalind-pricing-billing-october-5-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"kimi-claude-opus-routing-distillation-cost\",\"title\":\"Anthropic counted 189.9 million distillation exchanges across five Chinese labs and printed no token count and no dollar figure. At the Opus card the campaign is worth between $5.7M and $40M, and every 
1Kimi request Moonshot relayed to Opus would have lost 40 cents on the dollar if anyone had paid for it.\",\"excerpt\":\"$1f\",\"date\":\"September 14, 2026\",\"readTime\":\"13 min read\",\"category\":\"Industry\",\"metaTitle\":\"Claude Distillation Cost: 190M Exchanges at the Opus Card\",\"metaDescription\":\"Anthropic's Sept 10 report counts 189.9M exchanges from five Chinese labs, no tokens, no dollars. We price them at Opus's $5/$25 and K3's 0.6x card.\",\"ogImage\":\"/blog/kimi-claude-opus-routing-distillation-cost-og.webp\",\"heroImage\":\"/blog/kimi-claude-opus-routing-distillation-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"openai-agents-api-hosted-sandbox-pricing\",\"title\":\"OpenAI says the Agents API has no additional fees, and it does not. The sandbox every hosted session runs in bills at a container card whose rates have not moved since March, on a memory tier you cannot pick and a clock OpenAI has not said when it starts.\",\"excerpt\":\"$20\",\"date\":\"September 13, 2026\",\"readTime\":\"15 min read\",\"category\":\"Industry\",\"metaTitle\":\"OpenAI Agents API Pricing: The Sandbox Is the Fee\",\"metaDescription\":\"OpenAI's Agents API has no fee of its own. The hosted sandbox bills $0.03 to $1.92 per 20 minutes, tier unchosen, clock unstated. Priced against Claude.\",\"ogImage\":\"/blog/openai-agents-api-hosted-sandbox-pricing-og.webp\",\"heroImage\":\"/blog/openai-agents-api-hosted-sandbox-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"sakana-fugu-max-pricing-orchestration-tokens\",\"title\":\"Sakana priced Fugu Max at $2 and $6, which is Qwen3.8 Max's card to the cent, and says the output line is 40% to 60% under Sonnet 5, Terra and Kimi K3. The tokens billed at that rate include every internal call the orchestrator makes, and Sakana publishes neither the count nor the models it calls.\",\"excerpt\":\"$21\",\"date\":\"September 12, 2026\",\"readTime\":\"14 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Fugu Max Pricing: $2/$6 Plus Orchestration Tokens\",\"metaDescription\":\"Sakana's Fugu Max is $2 in, $6 out, flat to 1M context. Orchestration tokens bill at the same rate and the count is unpublished. We find where the saving ends.\",\"ogImage\":\"/blog/sakana-fugu-max-pricing-orchestration-tokens-og.webp\",\"heroImage\":\"/blog/sakana-fugu-max-pricing-orchestration-tokens-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-live-1-api-pricing-per-minute\",\"title\":\"OpenAI priced GPT-Live-1 at $0.05 a minute, the number Vapi charges to host a voice agent with no model in it. The meter runs through silence, hold music and every second the backend is thinking, and the backend is a second bill.\",\"excerpt\":\"$22\",\"date\":\"September 11, 2026\",\"readTime\":\"12 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GPT-Live-1 Pricing: $0.05/min Plus the Backend Bill\",\"metaDescription\":\"GPT-Live-1 is $0.05 a minute billed per second, silence included, plus backend tokens. A 10-minute call is $0.51 to $0.86; on Realtime, $0.51 to $3.22.\",\"ogImage\":\"/blog/gpt-live-1-api-pricing-per-minute-og.webp\",\"heroImage\":\"/blog/gpt-live-1-api-pricing-per-minute-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-1-flash-pricing-v4-pro-routing\",\"title\":\"DeepSeek cut Flas
1h to $0.15 this morning and will bill its Pro tier at the same rate from Monday. For the 96 hours in between, deepseek-v4-pro costs 4.4x more than the model DeepSeek says has already surpassed it.\",\"excerpt\":\"$23\",\"date\":\"September 10, 2026\",\"readTime\":\"13 min read\",\"category\":\"Model Release\",\"metaTitle\":\"DeepSeek V4.1 Flash Pricing: Pro Routed From Sept 14\",\"metaDescription\":\"DeepSeek V4.1 Flash is $0.15/$0.60 off-peak, down from $0.22/$0.66. From Sept 14 every deepseek-v4-pro call bills at that rate. Plus an edit nobody logged.\",\"ogImage\":\"/blog/deepseek-v4-1-flash-pricing-v4-pro-routing-og.webp\",\"heroImage\":\"/blog/deepseek-v4-1-flash-pricing-v4-pro-routing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-image-2-5-pricing-cost-per-image\",\"title\":\"OpenAI shipped a new image model on the old model's rate card and moved every quality setting down one rung. Leave your code on quality: high through the swap and the same picture costs 75% less, which nobody will tell you because no price changed.\",\"excerpt\":\"$24\",\"date\":\"September 9, 2026\",\"readTime\":\"12 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GPT Image 2.5 Pricing: Same Card, Renamed Tiers\",\"metaDescription\":\"GPT Image 2.5 keeps GPT Image 2's rate card to the cent. But high now costs what medium did: 1,756 tokens, $0.0527 an image, a 75% cut nobody announced.\",\"ogImage\":\"/blog/gpt-image-2-5-pricing-cost-per-image-og.webp\",\"heroImage\":\"/blog/gpt-image-2-5-pricing-cost-per-image-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"artificial-analysis-index-v4-3-cost-per-point\",\"title\":\"Every model measured across both rewrites of the industry's most-quoted leaderboard lost between 12.3 and 18.1 points in four days, and not one of them changed. The ruler did, twice, and it moved cost per point by 154% for one model and 290% for another.\",\"excerpt\":\"$25\",\"date\":\"September 8, 2026\",\"readTime\":\"13 min read\",\"category\":\"Research\",\"metaTitle\":\"Artificial Analysis Index v4.3: Cost Per Point Moved\",\"metaDescription\":\"Artificial Analysis rewrote its Intelligence Index twice in six days. Fable 5.1 fell 66 to 53 and cost per point rose 154% to 290% on unchanged rate cards.\",\"ogImage\":\"/blog/artificial-analysis-index-v4-3-cost-per-point-og.webp\",\"heroImage\":\"/blog/artificial-analysis-index-v4-3-cost-per-point-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"mercury-2-5-pricing-discount-expiry\",\"title\":\"At 07:00 UTC tomorrow the cheapest model we can price goes up 5.00x, and the number that replaces it is not new. It is the card Inception has charged for Mercury 2 since March, with a fifth off the input line and nothing off the output line.\",\"excerpt\":\"$26\",\"date\":\"September 7, 2026\",\"readTime\":\"12 min read\",\"category\":\"Industry\",\"metaTitle\":\"Mercury 2.5 Pricing: The 5x Increase on September 8\",\"metaDescription\":\"Mercury 2.5's 80% discount ends September 8 at 07:00 UTC. Input goes $0.04 to $0.20, output $0.15 to $0.75, exactly 5.00x on every line.\",\"ogImage\":\"/blog/mercury-2-5-pricing-discount-expiry-og.webp\",\"heroImage\":\"/blog/mercury-2-5-pricing-discount-expiry-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"document-parsing-api-cost-per-page\",\"title\":\"Every comparison of an LLM against a document parser is run on input tokens. Input is the half of the bill the parser already includes, and putting the output back turns the cheapest model on the market from 7.75x cheaper than the going page rate into twice its price.\",\"excerpt\":\"$27\",\"date\":\"September 6, 2026\",\"readTime\":\"13 min read\",\"category\":\"Research\",\"metaTitle\":\"Document Parsing API Cost Per Page: The $1.50 Number\",\"metaDescription\":\"Cohere Parse 5, AWS Textract, Azure Read and Google Document OCR all charge $1.50 per 1,000 pages. Add output tokens and every LLM loses to it.\",\"ogImage\":\"/blog/document-parsing-api-cost-per-page-og.webp\",\"heroImage\":\"/blog/document-parsing-api-cost-per-page-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"mythos-5-1-daybreak-cyber-model-pricing\",\"title\":\"Three labs shipped a security-gated model in three days. Anthropic published a full rate card for one its own cyber programme cannot sell you yet, Google published no number at all, and OpenAI published a pointer.\",\"excerpt\":\"$28\",\"date\":\"September 5, 2026\",\"readTime\":\"12 min read\",\"category\":\"Industry\",\"metaTitle\":\"Mythos 5.1, Daybreak, Cyber: Prices You Cannot Pay\",\"metaDescription\":\"Mythos 5.1 lists $10/$50 but Anthropic's cyber programme cannot sell it yet. Gemini 3.8 Flash Cyber has no price. Daybreak Blue and Red are aliases.\",\"ogImage\":\"/blog/mythos-5-1-daybreak-cyber-model-pricing-og.webp\",\"heroImage\":\"/blog/mythos-5-1-daybreak-cyber-model-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-6-astra-pricing\",\"title\":\"GPT-6 Astra's rate card is Claude Fable 5's rate card, to the cent, on every line both companies publish. Anthropic moved one of those lines two days before Astra shipped, and it is now the only line where the two flagships disagree.\",\"excerpt\":\"$29\",\"date\":\"September 4, 2026\",\"readTime\":\"13 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GPT-6 Astra Pricing: $10/$50 and One Line of Daylight\",\"metaDescription\":\"GPT-6 Astra lists $10/$50 with a $1.00 cache read, the exact card Claude Fable 5 carried. Fable 5.1 cut its read to $0.25 on September 1.\",\"ogImage\":\"/blog/gpt-6-astra-pricing-og.webp\",\"heroImage\":\"/blog/gpt-6-astra-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-8-flash-introductory-price-expiry\",\"title\":\"Gemini 3.8 Flash arrives on an introductory price that is not counted from its introduction. It expires December 31 like the other two models on it, so the newest Flash gets 121 days of the discount and the one before it got 141.\",\"excerpt\":\"$2a\",\"date\":\"September 3, 2026\",\"readTime\":\"12 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemini 3.8 Flash Pricing: 121 Days on a Shared Clock\",\"metaDescription\":\"Gemini 3.8 Flash lists at $0.75/$3.75, identical to 3.7 and 3.6 Flash on all 13 rows. Every one doubles January 1, and 3.5 Flash never had the discount.\",\"ogImage\":\"/blog/gemini-3-8-flash-introductory-price-expiry-og.webp\",\"heroImage\":\"/blog/gemini-3-8-flash-introductory-price-expiry-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-fable-5-1-cache-read-price-cut\",\"title\":\"Claude Fable 5.1 charges what Fable 5 charged on every line of the rate c
1ard except one. That one is the cache read, and it is the first time Anthropic has priced a cache hit at anything other than a tenth of input.\",\"excerpt\":\"$2b\",\"date\":\"September 2, 2026\",\"readTime\":\"12 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Claude Fable 5.1 Pricing: The 75% Cache Read Cut\",\"metaDescription\":\"Fable 5.1 keeps Fable 5's $10/$50 card. Only the cache read moved, $1.00 to $0.25, the first break from Anthropic's standard 0.1x multiplier.\",\"ogImage\":\"/blog/claude-fable-5-1-cache-read-price-cut-og.webp\",\"heroImage\":\"/blog/claude-fable-5-1-cache-read-price-cut-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"grok-4-6-long-context-cloud-pricing\",\"title\":\"Four companies sell Grok 4.6 and all four print $2.00 and $6.00. The whole difference between them is what happens at 200,000 tokens, and Microsoft's answer is to not sell you the 300,000 tokens after it.\",\"excerpt\":\"$2c\",\"date\":\"August 30, 2026\",\"readTime\":\"11 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Grok 4.6 Cloud Pricing: Azure Caps It at the Cliff\",\"metaDescription\":\"All four venues list Grok 4.6 at $2/$6. Only the 200K surcharge differs: xAI and Vertex double it, Bedrock stays flat, Azure caps the window at 200K.\",\"ogImage\":\"/blog/grok-4-6-long-context-cloud-pricing-og.webp\",\"heroImage\":\"/blog/grok-4-6-long-context-cloud-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"tencent-hy4-preview-pricing\",\"title\":\"Tencent priced its new flagship at 6 yuan per million input tokens and printed $0.834 next to it. That conversion uses 7.196 to the dollar, the market closed Friday at 6.73, and the gap is why every catalogue now says Tencent raised its price 6.32x when it raised it exactly 6.\",\"excerpt\":\"$2d\",\"date\":\"August 29, 2026\",\"readTime\":\"12 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Tencent Hy4 Preview Pricing: $0.834 Is Really 6 Yuan\",\"metaDescription\":\"Hy4 preview lists at $0.834/$2.501 per million tokens. Those are 6 and 18 yuan converted at 7.196, while the market trades at 6.73.\",\"ogImage\":\"/blog/tencent-hy4-preview-pricing-og.webp\",\"heroImage\":\"/blog/tencent-hy4-preview-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"llm-api-price-increases-2026\",\"title\":\"Eight AI API discounts expire on a published date between September 7 and January 1. Half of them are video models nobody is tracking, the loudest one is the smallest, and a ninth that everybody lists has no end date at all.\",\"excerpt\":\"$2e\",\"date\":\"August 28, 2026\",\"readTime\":\"14 min read\",\"category\":\"Guide\",\"metaTitle\":\"LLM API Price Increases 2026: Every Dated Discount\",\"metaDescription\":\"Eight AI API discounts expire between Sept 7 and Jan 1, 2027. Gemini Flash's doubling is 92.6% of the increase, and GPT-5.6 Sol has no end date at all.\",\"ogImage\":\"/blog/llm-api-price-increases-2026-og.webp\",\"heroImage\":\"/blog/llm-api-price-increases-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"glm-5-3-flash-vs-qwen3-8-flash-pricing\",\"title\":\"Two models called Flash arrived five and a half hours apart yesterday. One of them looks 2.13 times cheaper, and on the only workload anybody has measured they bill thirty cents apart.\",\"excerpt\":\"$2f\",\"date\":\"August 27, 2026\",\"readTime\":\"12 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GLM-5.3-Flash vs Qwen3.8-Flash: The Half-Off Catch\",\"metaDescription\":\"GLM-5.3-Flash bills $0.075/$0.25 until September 9. At its real list card it lands within 30 cents of Qwen3.8-Flash on the same measured run.\",\"ogImage\":\"/blog/glm-5-3-flash-vs-qwen3-8-flash-pricing-og.webp\",\"heroImage\":\"/blog/glm-5-3-flash-vs-qwen3-8-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"vision-api-cost-per-image\",\"title\":\"Three models charge exactly $2.00 per million input tokens. The same 4K screenshot costs $2.24, $9.57 and $19.58 per thousand on them, and the dearest of the three is a default setting you can turn off in one line.\",\"excerpt\":\"$30\",\"date\":\"August 26, 2026\",\"readTime\":\"12 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Vision API Cost Per Image: 2026 Pricing Compared\",\"metaDescription\":\"Three vision models charge $2.00 per million input tokens and bill $2.24, $9.57 and $19.58 for the same 4K screenshot. We counted the tokens.\",\"ogImage\":\"/blog/vision-api-cost-per-image-og.webp\",\"heroImage\":\"/blog/vision-api-cost-per-image-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"hy-mt2-pricing-vs-google-translate\",\"title\":\"Localizing a million characters into four languages costs $0.48 on Tencent's new translation card and $80.00 on Google's. Switch on the glossary feature Tencent advertises and 3.02x of that advantage becomes 1.07x.\",\"excerpt\":\"$31\",\"date\":\"August 25, 2026\",\"readTime\":\"11 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Hy-MT2 Pricing: $0.48 vs Google Translate's $80\",\"metaDescription\":\"Tencent's Hy-MT2 translation models are now metered. Localizing 1M characters into four languages costs $0.48, against $80.00 on Google's NMT card.\",\"ogImage\":\"/blog/hy-mt2-pricing-vs-google-translate-og.webp\",\"heroImage\":\"/blog/hy-mt2-pricing-vs-google-translate-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"ox-alpha-stealth-model-pricing\",\"title\":\"Ox Alpha bills $0 today. Its listing carries a setting that only two of OpenRouter's 422 models share, both of them GLM-5.3, and that setting is what made GLM-5.3 cost 55% more per task than GLM-5.2 on an identical rate c
1ard.\",\"excerpt\":\"$32\",\"date\":\"August 24, 2026\",\"readTime\":\"11 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Ox Alpha Pricing: What the $0 Stealth Model Will Cost\",\"metaDescription\":\"Ox Alpha lists at $0 on OpenRouter. Its metadata matches GLM-5.3 on 8 of 9 fields, including a forced max-effort setting only 3 of 422 models carry.\",\"ogImage\":\"/blog/ox-alpha-stealth-model-pricing-og.webp\",\"heroImage\":\"/blog/ox-alpha-stealth-model-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-6-sol-price-cut\",\"title\":\"OpenAI cut GPT-5.6 Sol to exactly 0.8 times Claude Opus 5 on every line it sells. Azure never applied the cut, so identical weights now trade at eight prices, and the cheapest one has an expiry date.\",\"excerpt\":\"$33\",\"date\":\"August 23, 2026\",\"readTime\":\"11 min read\",\"category\":\"Industry\",\"metaTitle\":\"GPT-5.6 Sol Price Cut: $4/$20 Until November 21\",\"metaDescription\":\"OpenAI cut Sol 20% on input and 33% on output, landing it at exactly 0.8x Opus 5. Bedrock matched in two days, Azure did not, and the promo expires.\",\"ogImage\":\"/blog/gpt-5-6-sol-price-cut-og.webp\",\"heroImage\":\"/blog/gpt-5-6-sol-price-cut-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"glm-5-3-pricing\",\"title\":\"GLM-5.3 bills the same $1.40 and $4.40 that GLM-5.2 and GLM-5.1 billed, and finishing a task still costs 55% more than it did. The rate card is the wrong number to be watching.\",\"excerpt\":\"$34\",\"date\":\"August 22, 2026\",\"readTime\":\"11 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GLM-5.3 Pricing: $1.40/$4.40 and 55% More per Task\",\"metaDescription\":\"Z.ai held GLM-5.3 at GLM-5.2's exact card. But cost per Artificial Analysis task rose from $0.44 to $0.68, and the weights are still not out.\",\"ogImage\":\"/blog/glm-5-3-pricing-og.webp\",\"heroImage\":\"/blog/glm-5-3-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-browser-use-tool-token-cost\",\"title\":\"Claude's new browser tool bills about 6,610 input tokens before it reads a word of your prompt. That is five times the computer-use beta's floor, and a single line of JSON takes 90% of it back.\",\"excerpt\":\"$35\",\"date\":\"August 21, 2026\",\"readTime\":\"11 min read\",\"category\":\"Guide\",\"metaTitle\":\"Claude Browser Use Cost: 6,610 Tokens a Request\",\"metaDescription\":\"Anthropic's browser toolset adds ~6,610 input tokens before your prompt. On Fable 5 that is 6.6 cents a request. Caching cuts it 8.13x. The full math.\",\"ogImage\":\"/blog/claude-browser-use-tool-token-cost-og.webp\",\"heroImage\":\"/blog/claude-browser-use-tool-token-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-6-bedrock-pricing\",\"title\":\"Bedrock sells GPT-5.6 Sol at exactly OpenAI's list price and also at 1.10x it. Which one you pay comes down to a single table row, and getting approved for OpenAI's cyber program deletes that row from your card.\",\"excerpt\":\"$36\",\"date\":\"August 18, 2026\",\"readTime\":\"10 min read\",\"category\":\"Guide\",\"metaTitle\":\"GPT-5.6 Bedrock Pricing: $5.00 or $5.50 a Million\",\"metaDescription\":\"Bedrock's Global CRIS sells GPT-5.6 Sol at OpenAI's exact $5/$30. In-Region is 1.10x, and the Daybreak-gated cards have no Global row at all.\",\"ogImage\":\"/blog/gpt-5-6-bedrock-pricing-og.webp\",\"heroImage\":\"/blog/gpt-5-6-bedrock-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"terminal-bench-3-cost-per-solved-task\",\"title\":\"Terminal-Bench 3.0 publishes what every run cost, which almost no other leaderboard does. Two of its ten rows are billed at a card OpenAI retired on July 30, and repricing them makes the ninth-place model the cheapest per solved task by 3.5x.\",\"excerpt\":\"$37\",\"date\":\"August 17, 2026\",\"readTime\":\"11 min read\",\"category\":\"Research\",\"metaTitle\":\"Terminal-Bench 3.0 Cost: $6 to $200 a Solved Task\",\"metaDescription\":\"Terminal-Bench 3.0 publishes cost per run. Repriced at today's card, GPT-5.6 Luna solves a task for $6.04 against Grok 4.6's $21.37. The full math.\",\"ogImage\":\"/blog/terminal-bench-3-cost-per-solved-task-og.webp\",\"heroImage\":\"/blog/terminal-bench-3-cost-per-solved-task-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-new-pricing-peak-off-peak\",\"title\":\"DeepSeek said the increase would be significant. It is 1.80x off-peak and 3.59x at peak, and only one of those two numbers fits inside the room we measured eight days ago.\",\"excerpt\":\"$38\",\"date\":\"August 16, 2026\",\"readTime\":\"10 min read\",\"category\":\"Industry\",\"metaTitle\":\"DeepSeek New Pricing: 1.80x Off-Peak, 3.59x Peak\",\"metaDescription\":\"DeepSeek's peak and off-peak rates go live at 16:00 UTC on August 16. V4-Flash is $0.22/$0.66 off-peak, $0.44/$1.32 at peak. The card and the math.\",\"ogImage\":\"/blog/deepseek-v4-new-pricing-peak-off-peak-og.webp\",\"heroImage\":\"/blog/deepseek-v4-new-pricing-peak-off-peak-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"grok-4-6-pricing\",\"title\":\"Grok 4.6 costs exactly what Grok 4.5 costs on input, on output, and at the cliff. The only line that moved is cached input, up 67%, and that is the line an agent loop actually lives on.\",\"excerpt\":\"$39\",\"date\":\"August 15, 2026\",\"readTime\":\"11 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Grok 4.6 Pricing: $2/$6, But Cache Jumped 67%\",\"metaDescription\":\"Grok 4.6 launched on Grok 4.5's exact $2/$6 card. Only cached input moved, $0.30 to $0.50. At a 90% cache hit rate you pay 38% more per input token.\",\"ogImage\":\"/blog/grok-4-6-pricing-og.webp\",\"heroImage\":\"/blog/grok-4-6-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-7-flash-pricing\",\"title\":\"Google cut Gemini 3.6 Flash in half on Thursday and launched Gemini 3.7 Flash at the same tw
1o numbers. The 50% is real, the saving is zero, and every line on both cards doubles on January 1.\",\"excerpt\":\"$3a\",\"date\":\"August 14, 2026\",\"readTime\":\"12 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemini 3.7 Flash Pricing: $0.75/$3.75 Until Dec 31\",\"metaDescription\":\"Google launched Gemini 3.7 Flash at $0.75/$3.75 and cut 3.6 Flash to the same rate the same day. Both double on January 1, 2027. Switching today saves $0.\",\"ogImage\":\"/blog/gemini-3-7-flash-pricing-og.webp\",\"heroImage\":\"/blog/gemini-3-7-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"muse-glimmer-pricing\",\"title\":\"Meta gave Muse Glimmer's weights away yesterday and exactly one company sells it. $0.35 and $1.50 is not a market price, it is Together AI's price, and the only thing testing it is a 15.9 GB file you can download instead.\",\"excerpt\":\"$3b\",\"date\":\"August 11, 2026\",\"readTime\":\"11 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Muse Glimmer Pricing: $0.35/$1.50 From One Host\",\"metaDescription\":\"Meta's Muse Glimmer 30B is Apache 2.0, but only Together AI sells it: $0.35 in, $1.50 out per 1M. We priced the open-weight alternatives against it.\",\"ogImage\":\"/blog/muse-glimmer-pricing-og.webp\",\"heroImage\":\"/blog/muse-glimmer-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"imagen-4-shutdown-gemini-3-1-flash-image-cost\",\"title\":\"Imagen 4 stops answering on August 17. Google's pages send you to two different replacements and one of them dies six weeks later. The model that costs less than Imagen 4 and has no end date of its own is named in neither.\",\"excerpt\":\"$3c\",\"date\":\"August 10, 2026\",\"readTime\":\"13 min read\",\"category\":\"Guide\",\"metaTitle\":\"Imagen 4 Shutdown Aug 17: Migration Costs 3.36x\",\"metaDescription\":\"Google shuts down Imagen 4 on August 17. Gemini 3.1 Flash Image costs 3.36x per image, but Flash Lite Image undercuts it and no notice mentions it.\",\"ogImage\":\"/blog/imagen-4-shutdown-gemini-3-1-flash-image-cost-og.webp\",\"heroImage\":\"/blog/imagen-4-shutdown-gemini-3-1-flash-image-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-6-long-context-fast-mode-cost\",\"title\":\"On August 1 we wrote that nobody was going to bill you $20 per million input tokens. Four days later OpenAI let Fast mode accept long prompts, and now somebody will.\",\"excerpt\":\"$3d\",\"date\":\"August 9, 2026\",\"readTime\":\"11 min read\",\"category\":\"Industry\",\"metaTitle\":\"GPT-5.6 Fast Mode Long Context: $20/$90 per 1M\",\"metaDescription\":\"OpenAI let Fast mode take prompts over 272K on August 5. GPT-5.6 Sol now bills $20 in and $90 out per 1M, 4x input and 3x output, stated only as a number.\",\"ogImage\":\"/blog/gpt-5-6-long-context-fast-mode-cost-og.webp\",\"heroImage\":\"/blog/gpt-5-6-long-context-fast-mode-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-session-budgets-cost-cap\",\"title\":\"Anthropic will now stop an agent session at a number you choose, written in whole cents as a string. That number is metered at list price rather than the rate you pay, which makes the cap tighter than your invoice and looser than one request already in flight.\",\"excerpt\":\"$3e\",\"date\":\"August 8, 2026\",\"readTime\":\"12 min read\",\"category\":\"Guide\",\"metaTitle\":\"Claude Session Budgets: What the $25 Cap Counts\",\"metaDescription\":\"Anthropic's session budgets cap an agent in whole cents at list price. What counts: tokens, $10/1,000 searches, $0.08 per session-hour, plus one gap.\",\"ogImage\":\"/blog/claude-session-budgets-cost-cap-og.webp\",\"heroImage\":\"/blog/claude-session-budgets-cost-cap-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-api-price-increase-2026\",\"title\":\"DeepSeek says a significant price increase is coming and will not say how significant. We measured the room it has: 2.14x before anything cheaper exists, 3.20x if you cache.\",\"excerpt\":\"$3f\",\"date\":\"August 8, 2026\",\"readTime\":\"11 min read\",\"category\":\"Industry\",\"metaTitle\":\"DeepSeek Price Increase: 2.14x of Headroom\",\"metaDescription\":\"DeepSeek warns of a significant API price r
1ise with no number and no date. We priced the headroom: 2.14x before anything undercuts it, 3.20x if you cache.\",\"ogImage\":\"/blog/deepseek-api-price-increase-2026-og.webp\",\"heroImage\":\"/blog/deepseek-api-price-increase-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"ling-3-0-flash-pricing\",\"title\":\"Ling-3.0-flash sells for $0.021, $0.06 and $0.075 per million input tokens right now. Same weights, same week, and the identical benchmark run bills $20.70 or $72.71 depending only on who you buy it from.\",\"excerpt\":\"$40\",\"date\":\"August 7, 2026\",\"readTime\":\"12 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Ling-3.0-flash Pricing: One Model, Three Prices\",\"metaDescription\":\"Ant's Ling-3.0-flash bills $0.021, $0.06 or $0.075 per 1M input depending on the host. The same benchmark run costs $20.70 or $72.71. The math, checked.\",\"ogImage\":\"/blog/ling-3-0-flash-pricing-og.webp\",\"heroImage\":\"/blog/ling-3-0-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"muse-spark-1-2-contributor-tier-pricing\",\"title\":\"Meta will cut your API bill 22x for permission to train on your prompts. The rate that buys is $0.10 in and $0.20 out, which is precisely what Poolside's Laguna S 2.1 already sells for with nothing attached.\",\"excerpt\":\"$41\",\"date\":\"August 6, 2026\",\"readTime\":\"11 min read\",\"category\":\"Industry\",\"metaTitle\":\"Muse Spark 1.2 Contributor Tier: $0.10 for Your Code\",\"metaDescription\":\"Meta's Muse Spark 1.2 contributor tier cuts input 12.5x and output 21.25x for permission to train on your prompts. The math, and who sells it cheaper.\",\"ogImage\":\"/blog/muse-spark-1-2-contributor-tier-pricing-og.webp\",\"heroImage\":\"/blog/muse-spark-1-2-contributor-tier-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"grok-voice-think-fast-2-pricing\",\"title\":\"grok-voice-latest moved to Think Fast 2.0 this morning, so unchanged code now bills 60% more per minute. The sentence before the price reads \\\"we believe pricing should be predictable and transparent.\\\"\",\"excerpt\":\"$42\",\"date\":\"August 5, 2026\",\"readTime\":\"13 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Grok Voice Think Fast 2.0 Pricing: $0.08/min, Up 60%\",\"metaDescription\":\"The grok-voice-latest alias moved to Think Fast 2.0 on August 5, raising audio from $0.05 to $0.08 a minute. Converted against OpenAI, Google and Qwen.\",\"ogImage\":\"/blog/grok-voice-think-fast-2-pricing-og.webp\",\"heroImage\":\"/blog/grok-voice-think-fast-2-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-8-max-pricing\",\"title\":\"Qwen3.8-Max prices output 60% under Kimi K3. On the same benchmark suite the bill came in 11% lower, and the $2 sticker is not on any page Alibaba owns.\",\"excerpt\":\"$43\",\"date\":\"August 4, 2026\",\"readTime\":\"11 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.8-Max Pricing: $2/$6, 2.4x the Tokens\",\"metaDescription\":\"Qwen3.8-Max lists at $2/$6 per 1M tokens. It writes 2.4x the median tokens, so a 60% output discount against Kimi K3 became an 11% lower bill.\",\"ogImage\":\"/blog/qwen3-8-max-pricing-og.webp\",\"heroImage\":\"/blog/qwen3-8-max-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-7-flash-pricing\",\"title\":\"Qwen3.7 Flash lists at $0.03 a million. One token past 32K, the identical request bills 3.3x more.\",\"excerpt\":\"$44\",\"date\":\"August 3, 2026\",\"readTime\":\"10 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.7 Flash Pricing: $0.03 Only Under 32K\",\"metaDescription\":\"Qwen3.7 Flash costs $0.03/$0.13 per 1M tokens under 32K input, then $0.10/$0.40 and $0.20/$
10.80. The cliff math and how it lands against DeepSeek V4 Flash.\",\"ogImage\":\"/blog/qwen3-7-flash-pricing-og.webp\",\"heroImage\":\"/blog/qwen3-7-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-flash-0731-pricing\",\"title\":\"DeepSeek kept the price at $0.14 and added ten index points. Eleven models now tie on intelligence, and the bill for proving it runs from $72 to $1,061.\",\"excerpt\":\"$45\",\"date\":\"August 2, 2026\",\"readTime\":\"10 min read\",\"category\":\"Model Release\",\"metaTitle\":\"DeepSeek V4 Flash 0731 Pricing: $0.14, Index 50\",\"metaDescription\":\"DeepSeek V4 Flash 0731 holds $0.14/$0.28 and scores 50 on Artificial Analysis. Eleven models tie within three points; running that index costs $72 to $1,061.\",\"ogImage\":\"/blog/deepseek-v4-flash-0731-pricing-og.webp\",\"heroImage\":\"/blog/deepseek-v4-flash-0731-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"llm-fast-mode-latency-pricing\",\"title\":\"OpenAI and Anthropic both charge exactly double for speed. One of them tells you how much speed you get, and no benchmark on earth is allowed to check either claim.\",\"excerpt\":\"$46\",\"date\":\"August 1, 2026\",\"readTime\":\"11 min read\",\"category\":\"Industry\",\"metaTitle\":\"Fast Mode API Pricing: Paying 2x for Unverified Speed\",\"metaDescription\":\"OpenAI and Anthropic both charge 2x for Fast mode. Sol Fast is $10/$60 with an 80 tok/s SLA, Opus 5 Fast $10/$50 with none. Cost-per-minute-saved math.\",\"ogImage\":\"/blog/llm-fast-mode-latency-pricing-og.webp\",\"heroImage\":\"/blog/llm-fast-mode-latency-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-6-luna-price-cut\",\"title\":\"OpenAI cut GPT-5.6 Luna by 80% and left Sol untouched. That is a 25x spread inside one model family, and it shrinks to 18x the moment you measure real work.\",\"excerpt\":\"On July 30 Luna went from $1.00 and $6.00 per million tokens to $0.20 and $1.20, an identical 80% off input, output and cached input. Terra fell 20% to $2.00 and $12.00. Sol did not move, and gained a Fast mode charging double. Because both cuts are perfectly uniform, anyone already on Luna sees their invoice divide by five regardless of token mix, which is a rarer kind of certainty than it sounds. The number everyone will quote is the new 25x gap between Sol and Luna, up from 5x a week ago, and it is wrong in a way you can measure: Artificial Analysis runs the same suite through both and Luna needs 130M output tokens where Sol needs 70M, so the real gap is 18.04x and roughly 28% of the discount disappears into verbosity. Also inside: why Luna now lists below OpenAI's own GPT-5.4 Nano, how it lands against a Gemini Flash-Lite tier Google raised ten days ago, and why Sol buyers are paying $58.35 per index point against Luna's $3.74.\",\"date\":\"July 31, 2026\",\"readTime\":\"9 min read\",\"category\":\"Industry\",\"metaTitle\":\"GPT-5.6 Luna Price Cut: 80% Off, Now $0.20/$1.20\",\"metaDescription\":\"OpenAI cut GPT-5.6 Luna 80% to $0.20/$1.20 on July 30, 2026. Terra fell 20%, Sol held. Measured cost math, Fast mode rates, and how Luna now compares.\",\"ogImage\":\"/blog/gpt-5-6-luna-price-cut-og.webp\",\"heroImage\":\"/blog/gpt-5-6-luna-price-cut-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"anthropic-100k-cryptography-agent-cost\",\"title\":\"Anthropic says one cryptographic attack cost it about $100,000 in API time. Its own price list says that is impossible.\",\"excerpt\":\"$47\",\"date\":\"July 30, 2026\",\"readTime\":\"9 min read\",\"category\":\"Research\",\"metaTitle\":\"What a $100,000 AI Agent Task Actually Costs\",\"metaDescription\":\"Anthropic disclosed $100,000 and a billion output tokens for one cryptography result. Why that is not a list price, and where agentic money really goes.\",\"ogImage\":\"/blog/anthropic-100k-cryptography-agent-cost-og.webp\",\"heroImage\":\"/blog/anthropic-100k-cryptography-agent-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-sonnet-5-price-increase-september-2026\",\"title\":\"Anthropic cancelled the Claude Sonnet 5 price increase. $2 and $10 are the standard rates now, and September 1 passes without a change.\",\"excerpt\":\"$48\",\"date\":\"July 29, 2026\",\"readTime\":\"10 min read\",\"category\":\"Industry\",\"metaTitle\":\"Sonnet 5 Price Increase Cancelled: $2/$10 Stays\",\"metaDescription\":\"Anthropic cancelled the September 1 rise to $3/$15. Claude Sonnet 5 stays at $2 and $10 per million tokens, now the standard price. What that changes.\",\"ogImage\":\"/blog/claude-sonnet-5-price-increase-september-2026-og.webp\",\"heroImage\":\"/blog/claude-sonnet-5-price-increase-september-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"kimi-k3-open-weights-self-hosting-cost\",\"title\":\"Kimi K3's weights went up for free on Monday and every host still matches Moonshot's $3/$15 on demand. That is 
1what happens when the smallest machine that boots a model is eight B300s.\",\"excerpt\":\"Open weights normally start a price war. Moonshot published the full Kimi K3 checkpoint on July 27 and ten providers now serve it, none of them undercutting Moonshot's own $3.00 in and $15.00 out per million tokens on synchronous requests. Nebius, offering no cache discount, comes out dearer. The reason is in the download: we rebuilt the checkpoint size from Hugging Face's parameter metadata and it is 1,560.9 GB, not the 594 GB being repeated in the quick coverage, which rules out every Hopper node and even eight B200s. Renting the cheapest machine that fits, an 8x B300 at $59.12 an hour, costs $42,566 a month and only beats the API above roughly 1,095 output tokens per second sustained. Also inside: the one real discount on the board, why K3's tasks are only 9.6% cheaper than GPT-5.6 Sol's despite tokens being 1.88x cheaper, and the clause Moonshot added that K2's license never had.\",\"date\":\"July 28, 2026\",\"readTime\":\"11 min read\",\"category\":\"Research\",\"metaTitle\":\"Kimi K3 Self-Hosting Cost vs the $3/$15 API\",\"metaDescription\":\"Kimi K3's open weights are 1.56TB and need 8x B300 minimum. Every host charges $3/$15. Break-even math, GPU rental rates, and the license thresholds.\",\"ogImage\":\"/blog/kimi-k3-open-weights-self-hosting-cost-og.webp\",\"heroImage\":\"/blog/kimi-k3-open-weights-self-hosting-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"poolside-laguna-s-2-1-pricing\",\"title\":\"Poolside is selling a 118B coding model for 10 cents in and 20 cents out. It also published how many tokens a task burns, which is the number that decides your bill.\",\"excerpt\":\"Laguna S 2.1 shipped July 21 with open weights and a rate card of $0.10 input and $0.20 output per million tokens, a fiftieth of GPT-5.6 Sol on the read side and a hundred and fiftieth on the write side. The more useful disclosure was the completion-token count per trajectory, roughly 249,000 in thinking mode against 99,000 without, which almost no vendor publishes. Price the task rather than the token and a thousand agent runs cost $49.80 here against $7,470 on Sol. Thinking mode turns out to be near cost-neutral per point of accuracy, the 1M context window is really 256K on every quantized deployment, the free endpoint is paid for in training data, and the headline 70.2% Terminal-Bench score appears on neither public leaderboard.\",\"date\":\"July 27, 2026\",\"readTime\":\"10 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Poolside Laguna S 2.1 Pricing: $0.10 In, $0.20 Out\",\"metaDescription\":\"Poolside Laguna S 2.1 lists at $0.10 input and $0.20 output per 1M tokens. Cost per agent task, the 1M vs 256K context split, and what the free tier costs.\",\"ogImage\":\"/blog/poolside-laguna-s-2-1-pricing-og.webp\",\"heroImage\":\"/blog/poolside-laguna-s-2-1-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-5-flash-lite-price-increase\",\"title\":\"Google's Lite tier keeps getting less lite. A year of releases took Flash-Lite output from 40 cents to $2.50.\",\"excerpt\":\"Gemini 3.5 Flash-Lite shipped July 21 at $0.30 input and $2.50 output per million tokens, against $0.25 and $1.50 for the model it replaces. That is the same 1.2x and 1.667x multiplier applied across all four service tiers, and the third consecutive Flash-Lite release to raise the price. The usual defense is that a smarter model needs fewer tokens, so we checked: Artificial Analysis ran the same evaluation suite on both, used 21.8% fewer output tokens on the new one, and still paid 63.3% more. Audio input is the one line that moved down, dropping 40% to a flat $0.30, which makes this a discount for transcription and a rise for everything else.\",\"date\":\"July 26, 2026\",\"readTime\":\"9 min read\",\"category\":\"Research\",\"metaTitle\":\"Gemini 3.5 Flash-Lite Price Increase Explained\",\"metaDescription\":\"Gemini 3.5 Flash-Lite costs $0.30/$2.50 per 1M tokens, up 20% and 67% over 3.1 Flash-Lite. Fewer output tokens, 63% higher bill. Full cost breakdown.\",\"ogImage\":\"/blog/gemini-3-5-flash-lite-price-increase-og.webp\",\"heroImage\":\"/blog/gemini-3-5-flash-lite-price-increase-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-chat-deprecated-v4-migration\",\"title\":\"DeepSeek switched off deepseek-chat and deepseek-reasoner yesterday. The rename is one line; the reasoning default it flips on is what moves your bill.\",\"excerpt\":\"On July 24 at 15:59 UTC, DeepSeek retired its two olde
1st API model names, and requests to deepseek-chat and deepseek-reasoner now fail outright. The official replacement for both is deepseek-v4-flash at $0.14 input and $0.28 output per million tokens, with a $0.0028 cache-hit rate that amounts to a 50x input discount. The trap is that V4-Flash turns thinking on by default while deepseek-chat was the non-thinking name, so the obvious one-line rename quietly converts a chat workload into a reasoning workload with several times the output tokens. We map the exact migration, line the dead V3.2 rate card up against V4-Flash and V4-Pro, and explain why the peak-hour pricing DeepSeek announced in June still has not hit the rate card.\",\"date\":\"July 25, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"deepseek-chat Deprecated: V4 Migration and New Pricing\",\"metaDescription\":\"DeepSeek retired deepseek-chat and deepseek-reasoner on July 24, 2026. New model names, V4 Flash and Pro rates, and the thinking default that raises bills.\",\"ogImage\":\"/blog/deepseek-chat-deprecated-v4-migration-og.webp\",\"heroImage\":\"/blog/deepseek-chat-deprecated-v4-migration-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-opus-5-pricing\",\"title\":\"Anthropic shipped Opus 5 at the same $5/$25 it charged for 4.8. The story is what that price now buys: half the Fable 5 bill at close to Fable 5 scores.\",\"excerpt\":\"Claude Opus 5 landed July 24 with a rate card copied from Opus 4.8, $5 input and $25 output per million tokens, unchanged for a fourth Opus release running. What changed is everything behind it: SWE-bench Verified jumps from 88.6 to about 96, SWE-bench Pro from 69.2 to 79.2, and Opus 5 now sits half a step under Anthropic's own Fable 5 flagship on the intelligence index while costing exactly half as much. Because Fable 5's $10/$50 is a clean 2x on both sides, Opus 5 is half the Fable 5 bill on any workload mix. We break down the full price card, the benchmark deltas that are real versus saturated, and the one thinking-toggle change that can quietly run up your output tokens.\",\"date\":\"July 25, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Claude Opus 5 Pricing: Same $5/$25, Half of Fable 5\",\"metaDescription\":\"Claude Opus 5 launched July 24 at $5/$25 per million tokens, identical to Opus 4.8 and half the Fable 5 flagship. Benchmarks, cost tables, and when to switch.\",\"ogImage\":\"/blog/claude-opus-5-pricing-og.webp\",\"heroImage\":\"/blog/claude-opus-5-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"ai-coding-model-pricing-2026\",\"title\":\"Every big lab now ships a dedicated coding model. Their output prices run from $0.80 to $14 a million, the same job priced 17x apart.\",\"excerpt\":\"Once you filter the July 2026 rate cards down to the models sold specifically for coding agents, the label stops meaning anything about cost. Qwen3 Coder Next bills $0.11 in and $0.80 out per million; GPT-5.3 Codex bills $1.75 and $14, a 17.5x gap on the output side that decides your whole bill because coding agents emit far more than they read. Run a real 40M-in / 12M-out agent month through all eight and it swings from $13.20 on KAT-Coder-Air to $238 on Codex, an 18x range for models that all score in the 60s and 70s on their own SWE-bench sheets. We line up every dedicated coder by price, show why output rate is the only number that matters, and explain why the cheapest ones come from the labs optimizing for efficiency, not the ones with the best benchmarks.\",\"date\":\"July 24, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"AI Coding Model Pricing 2026: A 17x Output-Cost Spread\",\"metaDescription\":\"Dedicated coding models cost $0.80 to $14 per million output in July 2026. Qwen3 Coder Next, KAT-Coder, GLM-5.2, Kimi K2.7, GPT-5.3 Codex compared.\",\"ogImage\":\"/blog/ai-coding-model-pricing-2026-og.webp\",\"heroImage\":\"/blog/ai-coding-model-pricing-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"llm-value-frontier-july-2026\",\"title\":\"Claude Opus 4.8 just slipped off the LLM value frontier. A $3 model scores higher on the intelligence index and costs a quarter less to run, and it is not the only flagship the math has passed.\",\"excerpt\":\"Rank every current model by Artificial Analysis's Intelligence Index and by what it actually costs to run that eval suite, and the July 2026 board looks nothing like the price list. Kimi K3 (index 57, $2,710 to run the index) n
1ow beats Claude Opus 4.8 (56, $3,753) on both quality and cost, knocking a frontier-priced flagship off the efficient frontier. Grok 4.5 does the same to Gemini 3.6 Flash, GLM-5.2, and GPT-5.6 Luna at once. Fable 5 still tops the score at 60, but its last point over GPT-5.6 Sol costs double to run. We map the whole frontier, show which seven models are undominated and which four you are overpaying for, and cross-check against a plain 15M/5M monthly bill.\",\"date\":\"July 23, 2026\",\"readTime\":\"9 min read\",\"category\":\"Research\",\"metaTitle\":\"LLM Cost Per Quality, July 2026: The Value Frontier\",\"metaDescription\":\"Ranked by cost to run the Artificial Analysis Intelligence Index, Kimi K3 now beats Claude Opus 4.8 on quality and price. The full LLM value frontier.\",\"ogImage\":\"/blog/llm-value-frontier-july-2026-og.webp\",\"heroImage\":\"/blog/llm-value-frontier-july-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-8-max-preview-pricing\",\"title\":\"Alibaba says Qwen3.8 Max is the world's second-best model. It won't publish a benchmark, an active-parameter count, or a per-token price.\",\"excerpt\":\"Qwen3.8 Max previewed July 19 at WAIC Shanghai, two days after Kimi K3 went open weights, and Alibaba called it second only to Claude Fable 5. It also shipped with no benchmark sheet, no active-parameter count behind the 2.4T headline, and no per-token API rate. The only meter is a credit-based Token Plan (Lite ~$6, Standard ~$18-20, Pro ~$68-74) whose credit-to-token conversion Alibaba never states, wrapped in a 10% preview rate and an 80% overnight cut that stacks to roughly 2% of standard. We decode the plan, anchor the likely cost to the $2.50/$7.50 Qwen3.7 Max it succeeds, and line it up against the flagships you can actually price: Fable 5 at $10/$50, GPT-5.6 Sol at $5/$30, Kimi K3 at $3/$15.\",\"date\":\"July 22, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.8 Max Preview Pricing: What Alibaba Won't Say\",\"metaDescription\":\"Alibaba previewed Qwen3.8 Max, a 2.4T model it calls second only to Fable 5. No per-token price, no benchmarks, just a credit-based Token Plan. We decode it.\",\"ogImage\":\"/blog/qwen3-8-max-preview-pricing-og.webp\",\"heroImage\":\"/blog/qwen3-8-max-preview-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-6-flash-pricing\",\"title\":\"Google cut Gemini Flash's output price and taught it to say less. Do both at once and the same answer costs about a third less.\",\"excerpt\":\"Gemini 3.6 Flash shipped July 21 with output dropped from $9 to $7.50 per million and a claim it uses 17% fewer output tokens than 3.5 Flash. Stack the rate cut and the token cut and the output side of an equivalent request runs about 31% cheaper, with input held flat at $1.50. The twist is the model that launched beside it: Gemini 3.5 Flash-Lite went up, from $0.25/$1.50 to $0.30/$2.50, because the new Lite jumped from 31% to 54% on Terminal-Bench. On a 10M/2M month 3.6 Flash runs $30, above GPT-5.6 Luna's $22 and Haiku 4.5's $20, so Google is selling token efficiency, not the cheapest sticker.\",\"date\":\"July 21, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemini 3.6 Flash Pricing: Cheaper Than 3.5 Flash\",\"metaDescription\":\"Gemini 3.6 Flash is $1.50/$7.50 per 1M and uses 17% fewer output tokens than 3.5 Flash. Gemini 3.5 Flash-Lite lands at $0.30/$2.50. Full pricing breakdown.\",\"ogImage\":\"/blog/gemini-3-6-flash-pricing-og.webp\",\"heroImage\":\"/blog/gemini-3-6-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"inkling-thinking-machines-cost\",\"title\":\"Mira Murati's lab open-sourced a frontier-class model. The strange part is how hard it is to just buy tokens for it.\",\"excerpt\":\"Inkling landed July 15 as the first open model from Thinking Machines: 975B parameters, Apache 2.0, and the top Artificial Analysis score of any US open-weights model. But there is no first-party API, and five days in exactly one provider sells it per token, at $1/$4.05 on OpenRouter. The $1.87/$4.68 everyone quotes is the Tinker fine-tuning meter, not a chat rate. On a 15M/5M month that one real price runs about $35, undercutting GLM-5.2, Kimi K3 and GPT-5.6 Terra but sitting at 3x DeepSeek V4 Pro's $11. We map every way you can actually pay for Inkling, run the self-host math, and explain why production teams should wait a beat.\",\"date\":\"July 20, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Inkling by Thinking Machines: Pricing \u0026 Real Cost\",\"metaDescription\":\"Thinking Machines open-sourced Inkling (975B MoE, Apache 2.0), but there is no first-party token API. Here is what it actually costs to run across providers.\",\"ogImage\":\"/blog/inkling-thinking-machines-cost-og.webp\",\"heroImage\":\"/blog/inkling-thinking-machines-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"prompt-caching-pricing-2026\",\"title\":\"Every major LLM API now knocks about 90% off the tokens you cache. The bill you don't see coming is the fee some providers charge just to put them there.\",\"excerpt\":\"Cached input reads have quietly standardized near a tenth of the base price across OpenAI, Anthropic, and Google, and DeepSeek goes further at under 1%. The real spread is on the write side: Anthropic bills 1.25x to 2x to create a cache, GPT-5.6 just became the first OpenAI family to add a 1.25x write fee, Gemini's explicit cache rents storage at $1 per million tokens an hour, and DeepSeek plus Gemini's implicit cache write for free. On a fixed 50,000-token context hit 1,000 times, caching turns a $250 GPT-5.6 Sol bill into $25 and a $21.75 DeepSeek run into 20 cents. We map every provider's write fee, TTL, and minimum, and show why the write premium almost never changes the answer.\",\"date\":\"July 19, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"Prompt Caching Pricing in 2026: What Cached Tokens Cost\",\"metaDescription\":\"Every major LLM API now gives ~90% off cached tokens. The difference is who charges you to write the cache. We compare GPT-5.6, Claude, Gemini and DeepSeek.\",\"ogImage\":\"/blog/prompt-caching-pricing-2026-og.webp\",\"heroImage\":\"/blog/prompt-caching-pricing-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"us-vs-china-llm-api-cost-scoreboard\",\"title\":\"American teams now route a third of their tokens to Chinese models to save money. The plot twist in July's pricing is that China's best model costs as much as the US flagships it beats.\",\"excerpt\":\"US companies have made up more than 30% of Chinese-model token traffic on OpenRouter every week since February, and the reason is the invoice. On a 200M/40M coding month DeepSeek V4-Pro runs $122 against Opus 4.8's $2,000, a 16x gap, and V4-Flash does it for $39. But the discount has a ceiling: Kimi K3, the best model any Chinese lab has shipped, lists at $3/$15 and costs $1,200 for that same month - pricier than US mid-tier Grok 4.5 ($640) and GPT-5.6 Luna ($440), and 2.6x fellow-Chinese GLM-5.2. We rank nine models by real monthly bill and mark exactly where China's price advantage stops.\",\"date\":\"July 18, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"US vs China LLM API Pricing: July 2026 Scoreboard\",\"metaDescription\":\"US teams route 30% of tokens to Chinese models to cut costs. Our July 2026 scoreboard ranks 9 models by real monthly bill and shows where the discount ends.\",\"ogImage\":\"/blog/us-vs-china-llm-api-cost-scoreboard-og.webp\",\"heroImage\":\"/blog/us-vs-china-llm-api-cost-scoreboard-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"kimi-k3-pricing\",\"title\":\"For two years the story out of China was that prices only fall. Moonshot just tripled its own rate card with Kimi K3, and the uncomfortable part is that the model is good enough to charge it.\",\"excerpt\":\"Kimi K3 lists at $3/$15 per million tokens against K2.6's $0.95/$4.00, a 3.16x input and 3.75x output increase under three months apart. An identical 40M/8M month goes from $70 to $240, and the 21% output-token efficie
1ncy gain only trims that to $215. What the money buys is a 2.8T-parameter model ranked 4th on Artificial Analysis, 1st on Arena's frontend code board, at $0.94 per task against Opus 4.8's $1.80. It also lands on exactly Sonnet 5's post-September rate of $3/$15, which makes the tokenizer the tiebreaker. We run the migration math, the caching math, and the caveats.\",\"date\":\"July 17, 2026\",\"readTime\":\"9 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Kimi K3 Pricing: Moonshot Triples Its Own Rate Card\",\"metaDescription\":\"Kimi K3 costs $3/$15 per million tokens, up 3.2x from K2.6. We run the migration math and compare it against Sonnet 5, GPT-5.6 Sol and Opus 4.8.\",\"ogImage\":\"/blog/kimi-k3-pricing-og.webp\",\"heroImage\":\"/blog/kimi-k3-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"kat-coder-v2-5-pricing\",\"title\":\"A Kuaishou team just priced 94 percent of Opus 4.8's coding score at a seventh of the cost. The two things holding KAT-Coder v2.5 back are that you can't download it and it stumbles in the terminal.\",\"excerpt\":\"Kwaipilot's KAT-Coder-Pro v2.5 lists at $0.74/$2.96 per million tokens, with a cheaper Air tier at $0.15/$0.60. On SWE-Bench Pro it scores 65.2, second only to Opus 4.8 (69.2) and ahead of GLM-5.2, and it beats Opus on the PinchBench tool-use test. A 30M/6M coding month runs about $40 against $300 for Opus, so on cost-per-benchmark-point it is the outright winner at 61 cents a point. The catches are real: it is proprietary and API-only, and it scores just 60.7 on Terminal-Bench against Opus's 84.6. We run the cost math and the caveats.\",\"date\":\"July 16, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"KAT-Coder v2.5 Pricing: Kwaipilot's Cheap Coder\",\"metaDescription\":\"KAT-Coder-Pro v2.5 lists at $0.74/$2.96 and Air at $0.15/$0.60 per million tokens. We run the cost math vs Opus 4.8 and GLM-5.2 on SWE-Bench Pro.\",\"ogImage\":\"/blog/kat-coder-v2-5-pricing-og.webp\",\"heroImage\":\"/blog/kat-coder-v2-5-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost\",\"title\":\"Claude runs five times apart from its cheapest tier to its priciest. The capability gap is nowhere near that wide, so most teams overpay by picking the wrong Claude.\",\"excerpt\":\"Anthropic's lineup runs $1/$5 for Haiku 4.5, $3/$15 for Sonnet 5, and $5/$25 for Opus 4.8 - a clean 5x from floor to ceiling. Priced by the job the picture shifts: a support-chat month costs $4.50, $13.50, or $22.50; a coding-agent month $38, $114, or $190. Sonnet 5 lands a benchmark hair from Opus at 40% less, Haiku clears anything well-scoped for a fifth of Opus, and prompt caching can pull a retrieval-heavy Sonnet month down near uncached Haiku. We run every tier across four real workloads and name the one each job should use.\",\"date\":\"July 15, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Claude Pricing: Haiku 4.5 vs Sonnet 5 vs Opus 4.8\",\"metaDescription\":\"Claude's tiers span 5x: Haiku 4.5 ($1/$5), Sonnet 5 ($3/$15), Opus 4.8 ($5/$25). We price each by workload to find which Claude model is cheapest for you.\",\"ogImage\":\"/blog/claude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-og.webp\",\"heroImage\":\"/blog/claude-haiku-4-5-vs-sonnet-5-vs-opus-4-8-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-6-vs-fable-5-vs-grok-4-5-cost\",\"title\":\"Grok 4.5 sells the cheapest token, Fable 5 sells the smartest one, and neither is the cheapest way to finish the actual job. You only see that once you stop pricing tokens and start pricing benchmark points.\",\"excerpt\":\"GPT-5.6 Sol ($5/$30), Claude Fable 5 ($10/$50), and Grok 4.5 ($2/$6) span five times over on price but bunch near the top on capability: Intelligence Index 59, 60, and 54. Grok wins per token easily. Divide sticker cost by SWE-bench Pro and Grok costs about $0.020 per point, Sol $0.062, Fable $0.094. But Artificial Analysis's measured cost per task flips the interesting line: Sol buys a top-two intelligence score for roughly a third of Fable's cost. We run cost-per-benchmark-point on all three and name the corner each one owns.\",\"date\":\"July 13, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GPT-5.6 Sol vs Fable 5 vs Grok 4.5: Cost Per Point\",\"metaDescription\":\"GPT-5.6 Sol, Claude Fable 5, and Grok 4.5 span 5x on price. We divide cost by benchmark score to find which frontier model is cheapest per unit of work.\",\"ogImage\":\"/blog/gpt-5-6-vs-fable-5-vs-grok-4-5-cost-og.webp\",\"heroImage\":\"/blog/gpt-5-6-vs-fable-5-vs-grok-4-5-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-fable-5-usage-credits-cost\",\"title\":\"Claude Fable 5 is back on subscriptions, but not the way it left. Included access is gone; you now spend metered usage credits at $10 and $50 per million tokens, the priciest rate Anthropic charges. Here is what that actually buys.\",\"excerpt\":\"Anthropic pulled Fable 5 from Pro, Max, and Team plans in June on capacity, then brought it back behind metered usage credits at its full $10 input and $50 output list rate. That is twice Opus 4.8's standard price and exactly what Opus 4.8 Fast mode costs. A 100K-in, 20K-out task runs $2 on Fable 5 against $1 on Opus 4.8; a 10M-in, 2M-out month is $200 against $100. It tops SWE-bench Verified at 95%, and a newer tokenizer counts ~30% more tokens, widening the real gap. We run the math and the caveats, including a credit-to-dollar conversion Anthropic still hasn't published.\",\"date\":\"July 12, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"Claude Fable 5 Metered Billing: What $10/$50 Costs\",\"metaDescription\":\"Claude Fable 5 returns to subscriptions on metered usage credits at $10/$50 per million tokens. We run what Anthropic's priciest model actually costs.\",\"ogImage\":\"/blog/claude-fable-5-usage-credits-cost-og.webp\",\"heroImage\":\"/blog/claude-fable-5-usage-credits-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"meta-muse-spark-1-1-pricing\",\"title\":\"The first model Meta ever charged for is priced to win agent work, not coding. At $1.25 and $4.25 Muse Spark 1.1 is the cheapest near-frontier model from a US lab, and the benchmarks it wins tell you exactly what it is for.\",\"excerpt\":\"Meta opened its first paid API on July 9 with Muse Spark 1.1 at $1.25 input and $4.25 output per million tokens, roughly a quarter of what OpenAI and Anthropic charge. Every benchmark it tops is tool use; every one it loses is coding. On a 100M-input, 20M-output agent month it runs about $210 against $1,000 for Opus 4.8. It is the cheapest near-frontier US model, though LongCat-2.0 and DeepSeek V4 still undercut it. We run the cost math and the catches.\",\"date\":\"July 11, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Muse Spark 1.1 Pricing: Meta's First Paid API at $1.25\",\"metaDescription\":\"Meta Muse Spark 1.1 lists at $1.25/$4.25 per million tokens, its first paid API. We run the cost math vs GPT-5.5, Opus 4.8, Grok 4.5, and LongCat-2.0.\",\"ogImage\":\"/blog/meta-muse-spark-1-1-pricing-og.webp\",\"heroImage\":\"/blog/meta-muse-spark-1-1-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"grok-4-5-pricing\",\"title\":\"Grok 4.5 undercuts Opus 4.8 by two-thirds and burns fewer tokens getting there. The catches are a context window that shrank to 500K and a surcharge xAI won't put a number on.\",\"excerpt\":\"xAI shipped Grok 4.5 on July 8 at $2 input and $6 output per million tokens. Against Opus 4.8, Fable 5, and GPT-5.6 Sol it runs 68 to 84 percent cheaper, and because it spends about 4x fewer output tokens per task, the real gap is wider than the rate c
1ard. But it is not the cheapest token on the board, the context window dropped to 500K, and the long-context surcharge is a rate xAI mentions but never prints. We run the cost math against the frontier and the floor.\",\"date\":\"July 10, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Grok 4.5 Pricing: $2/$6 and 68% Under Opus 4.8\",\"metaDescription\":\"Grok 4.5 lists at $2/$6 per million tokens. We run the real cost math vs Opus 4.8, GPT-5.6, and Fable 5, plus the token-efficiency edge and the 500K catch.\",\"ogImage\":\"/blog/grok-4-5-pricing-og.webp\",\"heroImage\":\"/blog/grok-4-5-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"meituan-longcat-2-pricing\",\"title\":\"Meituan's LongCat-2.0 costs 75 cents a million and tops the open coder benchmarks. You can't download it yet, and nobody outside Meituan has rerun the scores.\",\"excerpt\":\"LongCat-2.0 went public June 30 at $0.75 input and $2.95 output per million tokens, with a launch promo cutting that to $0.30/$1.20. It claims to edge past GPT-5.5 on SWE-bench Pro, trained end to end on roughly 50,000 domestic Chinese chips with no Nvidia. But the MIT weights are still marked coming soon, every benchmark is Meituan's own, and DeepSeek V4-Pro still charges less per token. We run the real cost math and separate the price from the promises.\",\"date\":\"July 4, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"LongCat-2.0 Pricing: Meituan's 75-Cent Frontier Coder\",\"metaDescription\":\"Meituan's LongCat-2.0 lists at $0.75/$2.95 per million tokens (promo $0.30/$1.20). We break down the price, the vendor benchmarks, and how it stacks up.\",\"ogImage\":\"/blog/meituan-longcat-2-pricing-og.webp\",\"heroImage\":\"/blog/meituan-longcat-2-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"custom-inference-chips-api-prices\",\"title\":\"OpenAI built a chip to make inference cheaper. That is a different thing from making your API bill cheaper.\",\"excerpt\":\"Jalapeño, OpenAI's first custom inference processor with Broadcom, landed June 24 alongside Google's Ironwood TPUs and AWS Trainium 3. The whole industry is racing to run models on cheaper silicon. But the cost of the chip in the data center is not the number on your invoice, and the two have never moved in lockstep. We trace how far token prices have actually fallen, why the hardware savings mostly widen margins instead of cutting rates, and what genuinely lowers your bill.\",\"date\":\"July 3, 2026\",\"readTime\":\"8 min read\",\"category\":\"Industry\",\"metaTitle\":\"Cheaper AI Chips Won't Auto-Cut Your API Bill\",\"metaDescription\":\"OpenAI's Jalapeño chip and the TPU/Trainium race promise cheaper inference. Here's why hardware savings don't automatically reach your LLM API bill.\",\"ogImage\":\"/blog/custom-inference-chips-api-prices-og.webp\",\"heroImage\":\"/blog/custom-inference-chips-api-prices-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-6-sol-terra-luna-pricing\",\"title\":\"OpenAI split GPT-5.6 into three tiers and priced the flagship exactly where GPT-5.5 already sat. The tier worth your attention is the cheaper one in the middle.\",\"excerpt\":\"GPT-5.6 arrived June 26 as Sol, Terra, and Luna at $5/$30, $2.50/$15, and $1/$6 per million tokens. Sol, the flagship, costs to the cent what GPT-5.5 costs, so the headline tier holds the line. Terra is the real move: GPT-5.5-class work at half the rate. And Sol's ultra mode keeps the same per-token price while spending far more tokens. We run the cost math, and note that the model is still a gated preview you probably can't call.\",\"date\":\"July 2, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GPT-5.6 Pricing: Sol vs Terra vs Luna Tiers\",\"metaDescription\":\"OpenAI's GPT-5.6 ships in three tiers: Sol $5/$30, Terra $2.50/$15, Luna $1/$6. Sol just holds GPT-5.5's price. We run the real per-task cost math.\",\"ogImage\":\"/blog/gpt-5-6-sol-terra-luna-pricing-og.webp\",\"heroImage\":\"/blog/gpt-5-6-sol-terra-luna-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-sonnet-5-pricing\",\"title\":\"Claude Sonnet 5 lands level with Opus 4.8 on an independent benchmark and asks 60% less for it. Two footnotes decide whether the bargain survives September.\",\"excerpt\":\"Anthropic shipped Sonnet 5 on June 30 at $2/$10 per million tokens, an introductory rate that runs through August 31 before rising to $3/$15. On GDPval it scores a statistical hair from Opus 4.8 while costing a fraction of it. The catch is a new tokenizer that turns the same text into roughly 30% more tokens, so the September standard price is effectively dearer than the Sonnet 4.6 sticker it matches. We run the real math on when to switch.\",\"date\":\"July 1, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Claude Sonnet 5 Pricing: The $2 Intro and the Catch\",\"metaDescription\":\"Claude Sonnet 5 launches at $2/$10 per million tokens through Aug 31, then $3/$15. A new tokenizer counts ~30% more tokens. We run the real cost math.\",\"ogImage\":\"/blog/claude-sonnet-5-pricing-og.webp\",\"heroImage\":\"/blog/claude-sonnet-5-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-peak-hour-surge-pricing\",\"title\":\"DeepSeek V4 will charge double during its busiest hours. Whether you ever pay the surcharge comes down to your timezone.\",\"excerpt\":\"From the mid-July V4 launch, DeepSeek doubles its API rates during two daily windows - 9am to 12pm and 2pm to 6pm Beijing time. It is the first major LLM API to price by time of day. But those seven hours land overnight for US developers, so a team calling during its own workday may never see the surcharge. We map the peak windows onto every major timezone and run the real monthly math, which is closer to plus 29 percent than a true doubling for anyone running around the clock.\",\"date\":\"June 30, 2026\",\"readTime\":\"7 min read\",\"category\":\"Guide\",\"metaTitle\":\"DeepSeek V4 Peak-Hour Pricing: When Costs Double\",\"metaDescription\":\"DeepSeek doubles V4 API rates during peak hours (9am-12pm, 2pm-6pm Be
1ijing) from mid-July. We map the surge onto your timezone and run the real monthly cost.\",\"ogImage\":\"/blog/deepseek-v4-peak-hour-surge-pricing-og.webp\",\"heroImage\":\"/blog/deepseek-v4-peak-hour-surge-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"us-gated-frontier-models-open-weight-alternatives\",\"title\":\"The US gated its two newest flagships in a day. The models you can still call are open weights.\",\"excerpt\":\"On June 26 the US held OpenAI's GPT-5.6 to government-approved partners and let Anthropic re-open Claude Mythos 5 to a short list of trusted US orgs, both under the June 2 AI executive order. If you build outside that circle, the two newest American frontier models are off-limits. We price the globally-available field a developer can still call - DeepSeek, GLM-5.2, Kimi, Mistral, Qwen - and explain why the open-weight ones can't be gated at all.\",\"date\":\"June 29, 2026\",\"readTime\":\"8 min read\",\"category\":\"Industry\",\"metaTitle\":\"US-Gated AI Models and Open-Weight Alternatives\",\"metaDescription\":\"On June 26 the US restricted GPT-5.6 and Claude Mythos 5 to approved partners. We price the open-weight models any developer can still call and self-host.\",\"ogImage\":\"/blog/us-gated-frontier-models-open-weight-alternatives-og.webp\",\"heroImage\":\"/blog/us-gated-frontier-models-open-weight-alternatives-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"bytedance-seed-2-1-pricing\",\"title\":\"Doubao 2.1 Pro undercuts Claude Opus by 80%. The price is real, but it is quoted in yuan and you cannot call it yet.\",\"excerpt\":\"ByteDance launched Seed 2.1 (Doubao 2.1) on June 24 with Pro and Turbo tiers priced only in yuan: roughly $0.88 input and $4.41 output per million for Pro at today's exchange rate. Volcano Engine says that is 80% cheaper total cost than Claude Opus 4.6, and on raw token price the claim holds. But DeepSeek V4-Pro already undercuts it on output, the benchmark sheet is mostly adjectives, and on Western gateways like OpenRouter the model is still 'coming soon.'\",\"date\":\"June 28, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"ByteDance Doubao 2.1 Pricing: Seed 2.1 Pro \u0026 Turbo\",\"metaDescription\":\"ByteDance Seed 2.1 (Doubao 2.1) Pro lists near $0.88/$4.41 per million tokens, about 80% under Claude Opus. We convert the yuan and run the real math.\",\"ogImage\":\"/blog/bytedance-seed-2-1-pricing-og.webp\",\"heroImage\":\"/blog/bytedance-seed-2-1-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"nex-n2-pro-pricing\",\"title\":\"Nex-N2-Pro scores like a frontier coder and bills like a budget one. The free weights are the real story.\",\"excerpt\":\"A little-known lab, Nex AGI, shipped a 397B open-weight model that posts 80.8 on SWE-Bench Verified and costs about a tenth of GPT-5.5 ($0.50/$2.50 vs $5/$30). But it is not the cheapest option (DeepSeek V4-Pro undercuts it), its normalized AA Intelligence Index of 41 sits below the frontier, and its cut-rate hosted API already vanished. We run the cost math and explain why the Apache 2.0 license is the part that lasts.\",\"date\":\"June 26, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Nex-N2-Pro Pricing: Open Weights, Budget Rates\",\"metaDescription\":\"Nex-N2-Pro is an open-weight coder priced at $0.50/$2.50 per million tokens, a tenth of GPT-5.5. We run the cost math, benchmarks, and the catch.\",\"ogImage\":\"/blog/nex-n2-pro-pricing-og.webp\",\"heroImage\":\"/blog/nex-n2-pro-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-5-pro-release-date-pricing\",\"title\":\"Google promised Gemini 3.5 Pro in June. It is late, has no price, and no benchmarks.\",\"excerpt\":\"Google teased Gemini 3.5 Pro at I/O on May 19 with a 2M context window and Deep Think, then went quiet. No rate card, no benchmark sheet, and the Vertex release notes still do not list it. What Google did confirm is the part that costs you money: it quietly reshuffled the subscription ladder, and Deep Think now sits behind the $200/mo Ultra tier. We separate what you can budget for from what is still vapor.\",\"date\":\"June 25, 2026\",\"readTime\":\"7 min read\",\"category\":\"Industry\",\"metaTitle\":\"Gemini 3.5 Pro Release Date and Pricing\",\"metaDescription\":\"Gemini 3.5 Pro is late with no published price or benchmarks. We cover the confirmed subscription tiers, the likely API cost, and what to plan for.\",\"ogImage\":\"/blog/gemini-3-5-pro-release-date-pricing-og.webp\",\"heroImage\":\"/blog/gemini-3-5-pro-release-date-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-refusal-billing-fallback-credit\",\"title\":\"Claude won't bill you for a refusal. A fallback credit stops you paying twice.\",\"excerpt\":\"Claude Fable 5 has been dark for twelve days, but the billing rules it shipped with outlast it. Anthropic does not charge you for a refused request, and a new fallback credit refunds the prompt-cache cost when you retry on Opus 4.8 - turning a $0.99 retry into $0.13. We break down both rules, the worked math, and the three places the credit quietly does not apply.\",\"date\":\"June 24, 2026\",\"readTime\":\"7 min read\",\"category\":\"Guide\",\"metaTitle\":\"Claude Refusal Billing and Fallback Credit Explained\",\"metaDescription\":\"When Claude refuses a request you are not billed, and a new fallback credit refunds your prompt-cache cost when you retry on Opus 4.8. We run the numbers.\",\"ogImage\":\"/blog/claude-refusal-billing-fallback-credit-og.webp\",\"heroImage\":\"/blog/claude-refusal-billing-fallback-credit-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3\",\"title\":\"Three frontier co
1ders now cost under a dollar a million. The cheapest sticker is not the cheapest bill.\",\"excerpt\":\"DeepSeek V4-Pro, Qwen3.7 Plus, and MiniMax M3 all undercut $0.60/M input. Sort by input price and Qwen wins; run an actual coding month and DeepSeek pulls ahead, because output ($0.87 vs $1.60 vs $2.40) and a near-free cache decide the bill. We price three workload shapes and a 200M/40M coding month, then cover the two reasons to pay more.\",\"date\":\"June 22, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"DeepSeek V4 vs Qwen 3.7 vs MiniMax M3: Cost\",\"metaDescription\":\"DeepSeek V4-Pro, Qwen3.7 Plus, and MiniMax M3 all cost under $1/M input. We run a coding month through each to find which is actually cheapest.\",\"ogImage\":\"/blog/deepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-og.webp\",\"heroImage\":\"/blog/deepseek-v4-pro-vs-qwen-3-7-plus-vs-minimax-m3-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"glm-5-2-vs-gpt-5-5-coding-cost\",\"title\":\"GLM-5.2 costs a fifth of GPT-5.5 and says it codes better. One of those claims you can check.\",\"excerpt\":\"Z.ai's open-weight GLM-5.2 undercuts GPT-5.5 by roughly 5x per token and self-reports a coding-benchmark win on top. The price is on the rate card; the benchmark sheet was graded by Z.ai. We run the same coding month through both meters, weigh the verified $1.40/$4.40 against GPT-5.5's $5/$30, flag the 272K context surcharge, and separate what's proven from what's marketing.\",\"date\":\"June 21, 2026\",\"readTime\":\"7 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GLM-5.2 vs GPT-5.5: Coding Cost Compared\",\"metaDescription\":\"GLM-5.2 runs about 5x cheaper than GPT-5.5 for coding and claims higher benchmarks. We compare the verified prices and the self-reported wins.\",\"ogImage\":\"/blog/glm-5-2-vs-gpt-5-5-coding-cost-og.webp\",\"heroImage\":\"/blog/glm-5-2-vs-gpt-5-5-coding-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-6-release-date-pricing\",\"title\":\"GPT-5.6 is probably days away. Here is what the leaks confirm and what your bill might do.\",\"excerpt\":\"A gpt-5.6 ID leaked from OpenAI's own Codex backend, the chief scientist reportedly called it a meaningful improvement, and the release-date market has it landing the week of June 22. No pricing exists yet. But the GPT-5.4 to 5.5 step, where the sticker doubled while effective cost rose about 20%, predicts your bill better than any rumor. We work the cadence, three pricing scenarios off the $5/$30 baseline, and the cheaper field it walks into.\",\"date\":\"June 20, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GPT-5.6 Release Date and Pricing Forecast\",\"metaDescription\":\"OpenAI's GPT-5.6 is expected the week of June 22, 2026. We weigh the leaks, the release odds, and what the GPT-5.5 pricing precedent says your bill will do.\",\"ogImage\":\"/blog/gpt-5-6-release-date-pricing-og.webp\",\"heroImage\":\"/blog/gpt-5-6-release-date-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"openai-vs-anthropic-price-war-cost\",\"title\":\"Anthropic charges double and keeps winning. Now OpenAI might blink on price.\",\"excerpt\":\"OpenAI and Anthropic filed to go public a week apart, then OpenAI was reported to be weighing token price cuts to slow Anthropic down. The strange part: Anthropic is the pricier lab and still taking enterprise share. We work the current frontier rate cards, model what a cut would do to your bill, and show the 50% discount you can already buy today.\",\"date\":\"June 19, 2026\",\"readTime\":\"7 min read\",\"category\":\"Industry\",\"metaTitle\":\"OpenAI vs Anthropic Price War: What It Costs You\",\"metaDescription\":\"OpenAI and Anthropic filed to IPO a week apart, and OpenAI may cut token prices to chase Anthropic. Here is what the rivalry does to your API bill.\",\"ogImage\":\"/blog/openai-vs-anthropic-price-war-cost-og.webp\",\"heroImage\":\"/blog/openai-vs-anthropic-price-war-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"fable-5-mythos-5-suspension-alternatives\",\"title\":\"Claude Fable 5 lasted three days. Every alternative is cheaper.\",\"excerpt\":\"Anthropic disabled Claude Fable 5 and Mythos 5 on June 12, 2026 under a US export-control order, three days after launch. Fable 5 was the priciest model Anthropic ever shipped at $10/$50, so every migration target costs less. Opus 4.8 halves the bill at $5/$25; GLM 5.2 and Gemini 3.5 Flash cut it by nearly nine tenths. We work the monthly math and the one API gotcha on the Opus path.\",\"date\":\"June 18, 2026\",\"readTime\":\"7 min read\",\"category\":\"Industry\",\"metaTitle\":\"Claude Fable 5 Pulled: Cheaper Alternatives \u0026 Cost\",\"metaDescription\":\"Anthropic disabled Claude Fable 5 and Mythos 5 on June 12 under a US export order. Every replacement - Opus 4.8, GPT-5.5, Gemini, GLM 5.2 - costs less.\",\"ogImage\":\"/blog/fable-5-mythos-5-suspension-alternatives-og.webp\",\"heroImage\":\"/blog/fable-5-mythos-5-suspension-alternatives-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"glm-5-2-vs-kimi-k2-7-code\",\"title\":\"GLM 5.2 and Kimi K2.7 Code shipped five days apart. You still cannot benchmark one against the other.\",\"excerpt\":\"Two Chinese labs put out open-weight coding models in the same week. Kimi K2.7 Code lists at $0.95/$4.00 per million tokens, GLM 5.2 at $1.40/$4.40, and the gap is almost all on input, the rate coding agents spend the most on. GLM answers with a 1M context against Kimi's 256K. We work the real monthly cost both ways and explain why no benchmark exists that both models have actually run.\",\"date\":\"June 17, 2026\",\"readTime\":\"6 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GLM 5.2 vs Kimi K2.7 Code: Pricing Compared\",\"metaDescription\":\"GLM 5.2 lists at $1.40/$4.40 per 1M tokens, Kimi K2.7 Code at $0.95/$4.00. Both open-weight coders. The cost gap, the context gap, and the missing benchmark.\",\"ogImage\":\"/blog/glm-5-2-vs-kimi-k2-7-code-og.webp\",\"heroImage\":\"/blog/glm-5-2-vs-kimi-k2-7-code-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"glm-5-2-pricing\",\"title\":\"GLM 5.2 has no token price and no benchmarks. The whole pitch is a $10 subscription.\",\"excerpt\":\"Z.ai shipped GLM 5.2 on June 13 with a 1M-token context and a coding-first pitch, but no per-token API rate and not a single published benchmark. The only thing you can buy today is the GLM Coding Plan at $10 to $80 a month. We work out what that subscription gets you, why the per-prompt math flatters it against metered coders like Kimi K2.7 and Opus 4.8, and where the standalone API will likely land off GLM 5.1's $0.98/$3.08.\",\"date\":\"June 16, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GLM 5.2 Pricing: $10 Subscription, No Token Price Yet\",\"metaDescription\":\"Z.ai's GLM 5.2 lau
1nched with a 1M context but no per-token API price and no benchmarks. What the $10-$80 Coding Plan costs and where the API will land.\",\"ogImage\":\"/blog/glm-5-2-pricing-og.webp\",\"heroImage\":\"/blog/glm-5-2-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-sonnet-4-opus-4-retirement-cost\",\"title\":\"Claude Opus 4 retires today. Its replacement costs a third as much.\",\"excerpt\":\"Claude Sonnet 4 and Opus 4 both retire June 15, 2026 on the Claude API, with calls failing hard after the cutoff. The Sonnet path is a flat swap to 4.6 at the same $3/$15. The Opus path is the surprise: 4.8 lands at $5/$25, two thirds below Opus 4's old $15/$75, with five times the context. We work the monthly savings, the one parameter that now throws a 400, and the separate Bedrock and Vertex clocks.\",\"date\":\"June 15, 2026\",\"readTime\":\"7 min read\",\"category\":\"Guide\",\"metaTitle\":\"Claude Sonnet 4 \u0026 Opus 4 Retire June 15: Migration Cost\",\"metaDescription\":\"Claude Sonnet 4 and Opus 4 retire June 15, 2026. Sonnet 4.6 is a flat swap; Opus 4.8 costs 67% less than Opus 4. The migration cost math and one API gotcha.\",\"ogImage\":\"/blog/claude-sonnet-4-opus-4-retirement-cost-og.webp\",\"heroImage\":\"/blog/claude-sonnet-4-opus-4-retirement-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"step-3-7-flash-pricing\",\"title\":\"Step 3.7 Flash reads images and codes like a mid-tier model, for an eighth of Gemini Flash's price\",\"excerpt\":\"StepFun shipped Step 3.7 Flash on May 29, an open-weight 198B vision MoE that lists at $0.20 in and $1.15 out per million tokens, roughly an eighth of Gemini 3.5 Flash. It reads images and video, codes at a mid-tier level, and ships Apache 2.0. The independent Artificial Analysis index of 43 backs the price; almost every coding and vision benchmark beyond it is StepFun's own. We work the cheap-multimodal comparison, a month of document processing five ways, and what to test before you switch a vision pipeline.\",\"date\":\"June 14, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Step 3.7 Flash Pricing: $0.20/$1.15 per Million Tokens\",\"metaDescription\":\"Step 3.7 Flash costs $0.20 input and $1.15 output per million tokens, an open-weight vision MoE that undercuts Gemini 3.5 Flash 8x. Benchmarks and cost math.\",\"ogImage\":\"/blog/step-3-7-flash-pricing-og.webp\",\"heroImage\":\"/blog/step-3-7-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"kimi-k2-7-code-pricing\",\"title\":\"Kimi K2.7 Code costs exactly what K2.6 did. The rest you take on faith.\",\"excerpt\":\"Moonshot shipped Kimi K2.7 Code on June 12 at $0.95 in and $4 out per million tokens, the same rate card as the model it replaces, with only the cached-input rate nudged from $0.16 to $0.19. The pitch is a 21.8% coding gain and 30% fewer reasoning tokens, but every benchmark behind it is one Moonshot ran itself, on suites only Moonshot runs. We work out where the bill could actually drop, why DeepSeek V4-Pro still undercuts it three-to-one, and what to test before switching.\",\"date\":\"June 13, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Kimi K2.7 Code Pricing: $0.95/$4 per Million Tokens\",\"metaDescription\":\"Kimi K2.7 Code costs $0.95 input and $4 output per million tokens, identical to K2.6. Every benchmark is Moonshot's own. What that means for your bill.\",\"ogImage\":\"/blog/kimi-k2-7-code-pricing-og.webp\",\"heroImage\":\"/blog/kimi-k2-7-code-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"diffusiongemma-26b-pricing\",\"title\":\"DiffusionGemma generates 4x faster than its own sibling and scores worse on every benchmark Google published.\",\"excerpt\":\"Google shipped DiffusionGemma 26B on June 10, an experimental open-weight model that writes text by denoising a canvas in parallel instead of one token at a time. It clears 1,000 tokens a second on a single H100 and ships Apache 2.0 with no per-token price. The catch: the autoregressive Gemma 4 it's built on scores higher on every benchmark and already rents for thirty cents a million. We work the self-hosting math and find the one place the speed trade actually pays off.\",\"date\":\"June 11, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"DiffusionGemma 26
1B: 4x Faster, No API Price\",\"metaDescription\":\"Google's DiffusionGemma 26B runs up to 4x faster than autoregressive Gemma 4 with no per-token price. The self-hosting cost math and where the speed pays off.\",\"ogImage\":\"/blog/diffusiongemma-26b-pricing-og.webp\",\"heroImage\":\"/blog/diffusiongemma-26b-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-fable-5-pricing\",\"title\":\"Claude Fable 5 is the most expensive model Anthropic has ever shipped. For two weeks, it's also free.\",\"excerpt\":\"Anthropic put its Mythos-class intelligence into general release on June 9 as Claude Fable 5, priced at $10 in, $50 out per million tokens, exactly double Opus 4.8 and the steepest rate card it has ever published. The twist: it's bundled free on every paid Claude subscription through June 22, then the meter starts. We break down the per-token cost, what the 2x premium buys against Opus 4.8 and the frontier field, and where the free window quietly turns into a bill.\",\"date\":\"June 10, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Claude Fable 5 Pricing: $10/$50 and Free Until June 22\",\"metaDescription\":\"Claude Fable 5 costs $10 in, $50 out per 1M tokens, double Opus 4.8. Free on Pro and Max plans through June 22, then list price. Is it worth it?\",\"ogImage\":\"/blog/claude-fable-5-pricing-og.webp\",\"heroImage\":\"/blog/claude-fable-5-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"xiaomi-mimo-ultraspeed-pricing\",\"title\":\"Xiaomi MiMo UltraSpeed charges 3x for 10x the speed. The catch is you can only rent it for two weeks.\",\"excerpt\":\"Xiaomi opened a trial on June 9 for MiMo-V2.5-Pro UltraSpeed, a one-trillion-parameter model it claims runs past 1,000 tokens a second on ordinary eight-GPU hardware. Trial pricing is about $1.31 input and $2.61 output per million, exactly 3x the standard MiMo rate for roughly 10x the speed. We work the per-million math, line it up against Mercury 2 and Gemini 3.5 Flash on speed-per-dollar, and flag where the marketing runs ahead of what's confirmed.\",\"date\":\"June 9, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"MiMo UltraSpeed Pricing: 3x Cost for 10x Speed\",\"metaDescription\":\"Xiaomi MiMo UltraSpeed bills ~$1.31/$2.61 per 1M tokens for up to 1,000 tok/s, 3x the standard rate. The cost math, speed-per-dollar, and the catch.\",\"ogImage\":\"/blog/xiaomi-mimo-ultraspeed-pricing-og.webp\",\"heroImage\":\"/blog/xiaomi-mimo-ultraspeed-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemma-4-12b-pricing\",\"title\":\"Gemma 4 12B has no API price. Google built it to run on your laptop, not on its meter.\",\"excerpt\":\"Google shipped Gemma 4 12B on June 3, an encoder-free multimodal model that reads text, images, and audio, fits in 16GB of memory, and ships under Apache 2.0. There's no per-token rate because Google isn't selling it by the token: you self-host it or use the free AI Studio tier. We work out what \\\"free\\\" actually costs, where it lands against the rentable Gemmas and cheap hosted multimodal like Gemini 3 Flash, and the monthly volume where running it yourself wins.\",\"date\":\"June 8, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemma 4 12B Pricing: The Model You Can't Rent\",\"metaDescription\":\"Google's Gemma 4 12B has no per-token API price. It's Apache 2.0, runs on a 16GB laptop, and reads text, images, audio and video. What free really costs.\",\"ogImage\":\"/blog/gemma-4-12b-pricing-og.webp\",\"heroImage\":\"/blog/gemma-4-12b-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"nvidia-nemotron-3-ultra-pricing\",\"title\":\"Nemotron 3 Ultra has no list price. The same open weights run from $0.37 to $0.60 a million depending on who hosts them.\",\"excerpt\":\"NVIDIA shipped Nemotron 3 Ultra 550B on June 4, its biggest open model so far and the top-scoring US open-weights model on the Artificial Analysis Intelligence Index. Because the weights are open, there is no one rate: providers bill from $0.37 to $0.60 per million input tokens, and OpenRouter runs a free tier. We map the price spread across hosts, run the cost math against Kimi K2.6 and DeepSeek V4-Pro, and explain why it still trails China's open frontier on raw intelligence.\",\"date\":\"June 7, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Nemotron 3 Ultra Pricing: $0.37-$0.60 Per 1M\",\"metaDescription\":\"NVIDIA's Nemotron 3 Ultra 550B is open weights, so there's no single rate. Hosts bill $0.37 to $0.60 input per 1M tokens. The cost math and how it ranks.\",\"ogImage\":\"/blog/nvidia-nemotron-3-ultra-pricing-og.webp\",\"heroImage\":\"/blog/nvidia-nemotron-3-ultra-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"microsoft-mai-code-1-flash-pricing\",\"title\":\"Microsoft's MAI-Code
1-1-Flash matches GPT-5.4 Mini to the cent, then claims a third fewer tokens. You still can't call it through an API.\",\"excerpt\":\"Microsoft shipped MAI-Code-1-Flash at Build on June 2 at $0.75 input and $4.50 output per million tokens, the exact rate as GPT-5.4 Mini. The pitch is up to 60% fewer tokens than Claude Haiku 4.5 on hard coding tasks. Three catches: the price is on GitHub's page while the model card calls it unfinished, the Haiku win only holds in Microsoft's own harness, and the model runs nowhere but Copilot in VS Code. We break down the rate card, the token-efficiency math, the harness problem, and why there's nothing to integrate against yet.\",\"date\":\"June 6, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"MAI-Code-1-Flash Pricing: $0.75/$4.50, Copilot Only\",\"metaDescription\":\"Microsoft's MAI-Code-1-Flash bills $0.75/$4.50 per 1M tokens, matching GPT-5.4 Mini, and claims a third fewer tokens than Haiku 4.5. Catch: Copilot-only.\",\"ogImage\":\"/blog/microsoft-mai-code-1-flash-pricing-og.webp\",\"heroImage\":\"/blog/microsoft-mai-code-1-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-7-plus-pricing\",\"title\":\"Qwen3.7 Plus costs a sixth of Max on input, and it can do the one thing Max can't: read images\",\"excerpt\":\"Alibaba shipped Qwen3.7 Plus on June 1 at $0.40 input and $1.60 output per million tokens, a sixth of Qwen3.7 Max on input and under a quarter on output. Unlike Max, which is text-only, Plus takes image and video input, and its ScreenSpot Pro score beats GPT-5.4 on GUI grounding. We break down the rate card, the cost gap against Max and Gemini 3.5 Flash, the benchmarks worth trusting, and the output price two sources can't agree on.\",\"date\":\"June 5, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.7 Plus Pricing: $0.40/$1.60, Multimodal\",\"metaDescription\":\"Alibaba's Qwen3.7 Plus lists at $0.40/$1.60 per 1M tokens with vision and 1M context, a sixth of Qwen3.7 Max on input. The real cost math and where it wins.\",\"ogImage\":\"/blog/qwen3-7-plus-pricing-og.webp\",\"heroImage\":\"/blog/qwen3-7-plus-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-5-priority-processing-pricing\",\"title\":\"GPT-5.5 on priority costs 2.5x list. Here is what the speed actually buys.\",\"excerpt\":\"OpenAI's priority serving tier bills GPT-5.5 at $12.50 input and $75 output per million, exactly 2.5x the standard rate, in exchange for a faster latency floor. Every other model with a priority price sits at a flat 2x, which makes the flagship the steepest speed premium in the lineup. We work through the per-model toll, the per-thousand-call dollar math, the exclusions that quietly downgrade you to standard, and the one question that decides whether 2.5x is worth paying.\",\"date\":\"June 4, 2026\",\"readTime\":\"7 min read\",\"category\":\"Guide\",\"metaTitle\":\"GPT-5.5 Priority Processing Pricing: 2.5x for Speed\",\"metaDescription\":\"OpenAI's priority tier bills GPT-5.5 at $12.50/$75 per 1M, 2.5x list, for guaranteed low latency. What it costs across models and when it's worth paying.\",\"ogImage\":\"/blog/gpt-5-5-priority-processing-og.webp\",\"heroImage\":\"/blog/gpt-5-5-priority-processing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"minimax-m3-pricing\",\"title\":\"MiniMax M3 claims GPT-5.5-class coding for a tenth of the price. The benchmarks are self-reported and the cheap tier stops at 512K.\",\"excerpt\":\"MiniMax M3 went live on June 1 at $0.60 input and $2.40 output per million tokens, with a 50% launch promo cutting it to $0.30/$1.20 for the first week. It pairs a 1M context window and image-plus-video input with coding scores MiniMax says match GPT-5.5 on SWE-Bench Pro. Two catches: every benchmark is vendor-reported, and the cheap rate doubles once a request crosses 512K input. We work through the tiered rate card, the cost math against GPT-5.5, Opus 4.8, and DeepSeek V4-Pro, and where M3 actually wins.\",\"date\":\"June 2, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"MiniMax M3 Pricing: $0.60/$2.40, 1M Context\",\"metaDescription\":\"MiniMax M3 lists at $0.60/$2.40 per 1M tokens with a 50% launch promo and 1M context. We break down the rate c
1ard, the 512K tier jump, and GPT-5.5 cost math.\",\"ogImage\":\"/blog/minimax-m3-pricing-og.webp\",\"heroImage\":\"/blog/minimax-m3-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-5-long-context-pricing-cliff\",\"title\":\"GPT-5.5 has a pricing cliff at 272K tokens. Cross it and the whole request bills double.\",\"excerpt\":\"OpenAI prices GPT-5.5 at $5 input and $30 output per million tokens, but only until a request crosses 272K input tokens. Past that line, the entire session reprices to $10 input and $45 output, not just the overage. We work through the exact threshold, the dollar jump on a real request, the workloads that trip it, and how Anthropic went the opposite direction by scrapping its long-context surcharge in March.\",\"date\":\"June 1, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"GPT-5.5 272K Context Pricing Cliff: Costs Double\",\"metaDescription\":\"GPT-5.5 costs $5/$30 per 1M tokens, but cross 272K input and the whole session bills at $10/$45. We break down the cliff, the dollar math, and how to avoid it.\",\"ogImage\":\"/blog/gpt-5-5-long-context-pricing-cliff-og.webp\",\"heroImage\":\"/blog/gpt-5-5-long-context-pricing-cliff-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"cohere-command-a-plus-pricing\",\"title\":\"Cohere shipped a 218B Apache 2.0 model that runs on two H100s. The hosted rate matches Command A; the license is the actual news.\",\"excerpt\":\"Command A+ landed on May 20 as the first Cohere flagship under unrestricted Apache 2.0. The hosted API stays at $2.50 input and $10 output per million tokens, the same tier Cohere has held on Command A since release. The W4A4 build runs on two H100s at 375 tokens per second, which drags the self-host math into range for anyone running steady volume. τ²-Bench Telecom jumps from 37 to 85, Terminal-Bench Hard from 3 to 25, AIME 2025 from 57 to 90. We work through the rate card, the boards Cohere chose to leave out, and the rented-GPU crossover point against API billing.\",\"date\":\"May 31, 2026\",\"readTime\":\"9 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Cohere Command A+ Pricing: Apache 2.0 on Two H100s\",\"metaDescription\":\"Cohere Command A+ hosted API stays at $2.50/$10 per 1M tokens. We walk the rate card, Apache 2.0 license, and self-host math on two rented H100s.\",\"ogImage\":\"/blog/cohere-command-a-plus-pricing-og.webp\",\"heroImage\":\"/blog/cohere-command-a-plus-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-opus-4-8-pricing\",\"title\":\"Anthropic kept the Opus list price flat for the third release running. The headline is the new Fast mode: $10/$50 at 2.5x speed.\",\"excerpt\":\"Claude Opus 4.8 shipped on May 28 with standard pricing untouched at $5 input and $25 output per million tokens. The new Fast mode tier at $10/$50 runs 2.5x the standard speed and lands exactly 3x cheaper than the old Opus Fast tier at $30/$150. SWE-bench Pro climbs five points, USAMO 2026 jumps 27, and the model is four times less likely to ignore flaws in its own code. We work through the full rate card, where the benchmarks actually moved (including the GPQA Diamond regression Anthropic glossed over), real-workload cost math against GPT-5.5 and GPT-5.5 Pro, and when Fast mode pays for itself.\",\"date\":\"May 30, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Claude Opus 4.8 Pricing: Fast Mode at $10/$50, 3x Cheaper\",\"metaDescription\":\"Claude Opus 4.8 stays at $5/$25 per 1M tokens and adds Fast mode at $10/$50, 2.5x speed and 3x cheaper than Opus 4.7's Fast tier. Real cost math.\",\"ogImage\":\"/blog/claude-opus-4-8-pricing-og.webp\",\"heroImage\":\"/blog/claude-opus-4-8-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-7-max-pricing\",\"title\":\"Qwen3.7 Max ties Opus 4.7 on intelligence and beats it on agentic coding, at half the input price. The catch: closed weights and no images.\",\"excerpt\":\"Alibaba announced Qwen3.7 Max on May 20 at $2.50 input and $7.50 output per million tokens, against $5/$25 on Claude Opus 4.7 and $5/$30 on GPT-5.5. It lands within a point of Opus on the Artificial Analysis Intelligence Index (56.6 vs 57.3), edges ahead on SWE-Bench Pro and Terminal-Bench, and quadruples the old Qwen flagship's context to 1M tokens with native Anthropic API support, so it drops into Claude Code as a base-URL change. We work through the real per-task cost, where GPT-5.5 still wins on raw intelligence, and the two catches: closed weights and no image input.\",\"date\":\"May 28, 2026\",\"readTime\":\"9 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.7 Max Pricing: $2.50/$7.50 vs Opus 4.7\",\"metaDescription\":\"Qwen3.7 Max costs $2.50 input and $7.50 output per 1M tokens with a 1M context window. We compare it to Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro.\",\"ogImage\":\"/blog/qwen3-7-max-pricing-og.webp\",\"heroImage\":\"/blog/qwen3-7-max-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"cursor-composer-2-5-pricing\",\"title\":\"Cursor Composer 2.5 lands one point behind Opus 4.7 on SWE-Bench and bills ten times less. The promo just ended.\",\"excerpt\":\"Cursor shipped its own coding model on May 18 with a week of double usage to soften the launch, and that promo ended around May 25. The standard rate is $0.50 input and $2.50 output per million tokens, against $5/$25 on Opus 4.7 and $5/$30 on GPT-5.5. Artificial Analysis put it third on the Coding Agent Index at one point under GPT-5.5. We work through the real cost on a typical session, how the agent-heavy gap actually narrows once Anthropic's cache discount kicks in, and the catch worth saying twice: there is no public API for Composer 2.5.\",\"date\":\"May 27, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Cursor Composer 2.5 Pricing: $0.50/$2.50 vs Opus 4.7\",\"metaDescription\":\"Cursor Composer 2.5 lists at $0.50 input and $2.50 output per 1M tokens, roughly 10x under Opus 4.7. Real cost math, benchmarks, and the hosted-only catch.\",\"ogImage\":\"/blog/cursor-composer-2-5-pricing-og.webp\",\"heroImage\":\"/blog/cursor-composer-2-5-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-5-pro-pricing-worth-it\",\"title\":\"GPT-5.5 Pro lists at $30/$180 per million tokens, and it drops the cache discount that keeps the standard model cheap.\",\"excerpt\":\"OpenAI's GPT-5.5 Pro costs six times the standard GPT-5.5 before the fine print, and the fine print is where it gets worse: Pro runs on the Responses API only with no cached-input discount, so a prompt prefix that standard GPT-5.5 reuses at $0.50 per million costs the full $30 on Pro. We work through what the parallel-reasoning tier actually buys, why a context-heavy agent session lands closer to 11x than 6x, and how it stacks against GPT-5.4 Pro, Opus 4.7, and Gemini 3.1 Pro.\",\"date\":\"May 25, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GPT-5.5 Pro Pricing: $30/$180, No Cache Discount\",\"metaDescription\":\"GPT-5.5 Pro costs $30 input and $180 output per 1M tokens, 6x standard GPT-5.5, with no cache discount. When the premium reasoning tier is worth it.\",\"ogImage\":\"/blog/gpt-5-5-pro-pricing-worth-it-og.webp\",\"heroImage\":\"/blog/gpt-5-5-pro-pricing-worth-it-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"grok-build-coding-agent-pricing\",\"title\":\"Grok Build runs coding agents at $1 in, $2 out. The catch is that xAI published zero benchmarks.\",\"excerpt\":\"xAI shipped Grok Build, a terminal co
1ding agent that reads your AGENTS.md and undercuts every rival on price: the grok-build-0.1 model behind it lists at $1 input and $2 output per million tokens, against $1.75/$14 for OpenAI's Codex model and $5/$25 for Claude Opus 4.7. We work through what a real coding session costs on each, why output pricing is the whole story for agents, and the one number xAI conspicuously did not publish: any benchmark at all.\",\"date\":\"May 24, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Grok Build Pricing: $1/$2 per 1M for xAI Coding Agent\",\"metaDescription\":\"Grok Build (grok-build-0.1) costs $1 input, $2 output per 1M tokens, well under Codex and Claude Code. But xAI shipped no benchmarks. The full cost math.\",\"ogImage\":\"/blog/grok-build-coding-agent-pricing-og.webp\",\"heroImage\":\"/blog/grok-build-coding-agent-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-pro-price-cut-permanent\",\"title\":\"DeepSeek scrapped the May 31 price cliff. The 75% V4-Pro cut is the permanent rate now.\",\"excerpt\":\"Three weeks ago DeepSeek's pricing page warned the V4-Pro discount expired May 31, with the rate stepping back up to $1.74/$3.48 per million. On May 22 it deleted that cliff: the 75% cut is now the permanent list price, $0.435 input and $0.87 output, no expiry. We work through the bill the increase would have added, why DeepSeek made it stick while Kimi and Qwen crowd the same tier, and how the locked-in price stacks against Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro.\",\"date\":\"May 23, 2026\",\"readTime\":\"8 min read\",\"category\":\"Industry\",\"metaTitle\":\"DeepSeek V4-Pro Price Cut Now Permanent: $0.435/M\",\"metaDescription\":\"DeepSeek made its 75% V4-Pro cut permanent on May 22, cancelling the May 31 jump. New price: $0.435/$0.87 per 1M. Cost math vs Opus 4.7 and GPT-5.5.\",\"ogImage\":\"/blog/deepseek-v4-pro-price-cut-permanent-og.webp\",\"heroImage\":\"/blog/deepseek-v4-pro-price-cut-permanent-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"google-ai-ultra-vs-chatgpt-pro-vs-claude-max\",\"title\":\"Google cut AI Ultra to $100 at I/O. Now all three AI giants charge the exact same $20, $100, $200 ladder.\",\"excerpt\":\"Google added a $100 AI Ultra tier at I/O on May 19 and dropped its old $250 plan to $200, snapping onto the exact $20/$100/$200 ladder Anthropic built and OpenAI copied. Three companies, three model lineups, one identical price card. We break down what each $100 plan actually includes, why Google leans on 20 TB of storage and YouTube Premium to win the comparison, and whether $100 of API tokens beats a $100 subscription.\",\"date\":\"May 22, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Google AI Ultra vs ChatGPT Pro vs Claude Max: $100 Tier\",\"metaDescription\":\"Google cut AI Ultra to $100 at I/O 2026, matching ChatGPT Pro and Claude Max. All three now charge $20/$100/$200. Which premium AI plan buys more.\",\"ogImage\":\"/blog/google-ai-ultra-vs-chatgpt-pro-vs-claude-max-og.webp\",\"heroImage\":\"/blog/google-ai-ultra-vs-chatgpt-pro-vs-claude-max-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-agent-sdk-credit-billing\",\"title\":\"Your Claude subscription stops paying for agents on June 15. The SDK and claude -p move to a separate credit billed at full API rates.\",\"excerpt\":\"Anthropic's email landed May 13: from June 15, 2026, the Claude Agent SDK, claude -p, GitHub Actions, and third-party harnesses like OpenClaw and Zed stop drawing on your subscription and shift to a separate monthly credit metered at full API rates. The credit equals your plan price, $20 on Pro up to $200 on Max 20x, and does not roll over. We work through what that credit buys in tokens, what overflow costs once it is gone, and how the deal stacks against ChatGPT Pro and Cursor.\",\"date\":\"May 21, 2026\",\"readTime\":\"9 min read\",\"category\":\"Industry\",\"metaTitle\":\"Claude Agent SDK Billing: June 15 Credit Split\",\"metaDescription\":\"Claude Agent SDK and claude -p move to a separate credit on June 15, billed at full API rates: $20 Pro, $100 Max 5x, $200 Max 20x. What it buys.\",\"ogImage\":\"/blog/claude-agent-sdk-credit-billing-og.webp\",\"heroImage\":\"/blog/claude-agent-sdk-credit-billing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-5-flash-pricing\",\"title\":\"Gemini 3.5 Flash costs 3x what Gemini 3 Flash did. Google priced it that way because it beats their own Pro model on agentic work.\",\"excerpt\":\"Google shipped Gemini 3.5 Flash on May 19 at I/O 2026 with a flat tripling of the Flash rate card: $1.50 input, $9 output, $0.15 cached per million. The justification is the benchmark sheet. The new Flash beats Gemini 3.1 Pro by 5.9 points on Terminal-Bench, 5.4 on MCP Atlas, and 342 ELO on GDPval-AA, at 25 percent less per token. Flash is not the budget tier anymore. It is a frontier agent model wearing Flash branding.\",\"date\":\"May 20, 2026\",\"readTime\":\"10 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemini 3.5 Flash Pricing: $1.50/M, Beats 3.1 Pro on Agents\",\"metaDescription\":\"Gemini 3.5 Flash at $1.50/$9 per 
11M, 3x Gemini 3 Flash. Beats Gemini 3.1 Pro on Terminal-Bench, MCP Atlas, GDPval-AA. Cost math vs GPT-5.5 and Opus 4.7.\",\"ogImage\":\"/blog/gemini-3-5-flash-pricing-og.webp\",\"heroImage\":\"/blog/gemini-3-5-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"grok-colossus-2-agent-mode-pricing\",\"title\":\"xAI quietly swapped Grok 4.3's weights for Colossus-2-trained ones and switched on Agent Mode. Same endpoint, same $1.25 input, new build.\",\"excerpt\":\"Musk posted on May 18 that the latest Grok is now running on weights trained partly on Colossus 2, with Agent Mode unlocked for API customers. There is no Grok 4.21. The endpoint is still grok-4.3, the rate card still reads $1.25 input and $2.50 output per million, and that math beats Opus 4.7 by 4x and GPT-5.5 by 7x on a 1M-token run. The infrastructure is the headline, the agent unlock is the capability, the price tag is the leverage.\",\"date\":\"May 19, 2026\",\"readTime\":\"9 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Grok 4.3 Colossus 2 Refresh: $1.25/M with Agent Mode\",\"metaDescription\":\"xAI retrained Grok 4.3 on Colossus 2 with Agent Mode unlocked. Same SKU, same $1.25/$2.50 per 1M, 4x cheaper than Opus 4.7 on 1M-context runs.\",\"ogImage\":\"/blog/grok-colossus-2-agent-mode-pricing-og.webp\",\"heroImage\":\"/blog/grok-colossus-2-agent-mode-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"subq-1m-preview-pricing\",\"title\":\"SubQ 1M-Preview shipped 12M tokens of context, no public rate card, and a $8-vs-$2,600 cost story that does not reconcile.\",\"excerpt\":\"Subquadratic launched SubQ on May 5 with $29M seed funding, a 12M-token research model, and a 1M production model. The headline claim is 95% RULER 128K at $8 vs Claude Opus at $2,600. We work through the rate-card gap, the 17-point research-to-production MRCR drop, and the Opus comparison that stopped being fair when Anthropic dropped the long-context surcharge in March. Watchlist, not a swap.\",\"date\":\"May 18, 2026\",\"readTime\":\"10 min read\",\"category\":\"Model Release\",\"metaTitle\":\"SubQ 1M-Preview Pricing: 12M Context, No Rate Card Yet\",\"metaDescription\":\"SubQ launched May 5 with 12M context and a 300x cost claim vs Opus. No public rate card, 17pt research-to-production gap, and the Opus comparison is stale.\",\"ogImage\":\"/blog/subq-1m-preview-pricing-og.webp\",\"heroImage\":\"/blog/subq-1m-preview-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-6-max-preview-pricing\",\"title\":\"Qwen3.6 Max Preview is the first Qwen flagship Alibaba shipped closed. It took SWE-Bench Pro, lost SWE-Bench Verified by omission, and costs 4x what Qwen3.6 Plus does.\",\"excerpt\":\"Alibaba launched Qwen3.6 Max Preview on April 20 at $1.30 input and $7.80 output per million. The model unseated GLM-5.1 on SWE-Bench Pro and Claude Opus 4.7 on Terminal-Bench 2.0. The scoresheet has no SWE-Bench Verified row, on a benchmark every competitor leads with. And the cheaper Qwen3.6 Plus, which still ships open weights and a 1M context, holds its own on everything except the agentic coding boards. Routing math vs Plus, Kimi K2.6, DeepSeek V4 Pro, and Opus 4.7.\",\"date\":\"May 17, 2026\",\"readTime\":\"11 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.6 Max Preview Pricing: $1.30/M, SWE-Bench Pro Leader\",\"metaDescription\":\"Qwen3.6 Max Preview at $1.30/$7.80 per 1M, 256K context, closed-weights. SWE-Bench Pro and Terminal-Bench 2 SOTA. Routing math vs Plus, Kimi K2.6, Opus 4.7.\",\"ogImage\":\"/blog/qwen3-6-max-preview-pricing-og.webp\",\"heroImage\":\"/blog/qwen3-6-max-preview-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"anthropic-950b-valuation-claude-pricing\",\"title\":\"Anthropic is raising at $950B, up 2.5x in three months. Every recent move on the Claude price sheet has been a cut. That gap is the whole story.\",\"excerpt\":\"Bloomberg, Sherwood, and Fortune confirmed May 11-13 that Anthropic is in talks to raise $30-50B at up to $950B valuation. That is 2.5x the $380B Series G from February. Yet every recent Claude price move has been a cut: Opus -67% across generations, the 1M-context surcharge dropped in March, cache reads 90% off. Why a $950B valuation does not force a hike, where Anthropic actually has pricing room, and how to hedge if you are still worried.\",\"date\":\"May 16, 2026\",\"readTime\":\"10 min read\",\"category\":\"Industry\",\"metaTitle\":\"Anthropic $950B Valuation: What It Means for Claude Pricing\",\"metaDescription\":\"Anthropic raising $30-50B at up to $950B valuation. But every recent Claude price move was a cut. Why a hike is unlikely and where the real risk sits.\",\"ogImage\":\"/blog/anthropic-950b-valuation-claude-pricing-og.webp\",\"heroImage\":\"/blog/anthropic-950b-valuation-claude-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"minimax-m2-7-pricing\",\"title\":\"MiniMax M2.7 lists at $0.30 input, $1.20 output. The GDPval-AA score is the highest open-weight number on the board. The SWE-Bench Verified column is empty.\",\"excerpt\":\"MiniMax M2.7 ships at $0.30/$1.20 per million on OpenRouter and MiniMax direct, with a ~$0.06 cached input tier. The 1495 GDPval-AA ELO is the highest open-weight result. SWE-Bench Pro lands at 56.22, Multi-SWE-Bench at 52.7, MLE-Benc
1h Lite at 66.6% medal rate. Verified is not published, and that gap matters. Routing math against Kimi K2.6, DeepSeek V4 Pro, and Opus 4.7.\",\"date\":\"May 15, 2026\",\"readTime\":\"11 min read\",\"category\":\"Model Release\",\"metaTitle\":\"MiniMax M2.7 Pricing: $0.30/M, Top Open-Weight GDPval-AA\",\"metaDescription\":\"MiniMax M2.7 at $0.30/$1.20 per 1M, 230B/10B MoE, 197K context. SWE-Bench Pro 56, GDPval-AA 1495 ELO. Routing math vs Kimi K2.6 and Opus 4.7.\",\"ogImage\":\"/blog/minimax-m2-7-pricing-og.webp\",\"heroImage\":\"/blog/minimax-m2-7-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-coder-next-vs-frontier-coders-cost\",\"title\":\"Qwen3 Coder Next is still $0.11 per million input. Kimi K2.6 costs 7x more, GPT-5.5 costs 41x more, and the benchmark gaps do not justify either.\",\"excerpt\":\"Three months after release, Qwen3 Coder Next sits at $0.11/$0.80 per million on OpenRouter, $0.30/$1.50 on Alibaba DashScope, and Apache 2.0. SWE-Bench Verified lands at 70.6% versus 80.2% for Kimi K2.6 and an unpublished number for GPT-5.5. The benchmark gap is real, but the price gap is bigger. Where Qwen earns the routing slot and where Kimi or GPT-5.5 still wins.\",\"date\":\"May 14, 2026\",\"readTime\":\"10 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Qwen3 Coder Next vs Kimi K2.6 vs GPT-5.5: Cheap Coding Cost\",\"metaDescription\":\"Qwen3 Coder Next: $0.11/$0.80 OpenRouter, Apache 2.0, 256K context. Kimi K2.6 costs 7x more, GPT-5.5 costs 41x more. Benchmark math vs price gap.\",\"ogImage\":\"/blog/qwen3-coder-next-vs-frontier-coders-cost-og.webp\",\"heroImage\":\"/blog/qwen3-coder-next-vs-frontier-coders-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"mercury-2-diffusion-llm-pricing\",\"title\":\"Mercury 2 outputs at 788 tokens per second for $0.75 per million. The diffusion math turns frontier reasoning pricing into a rounding error.\",\"excerpt\":\"Inception Labs' Mercury 2 is the first diffusion-based reasoning LLM. It ships at $0.25 input / $0.75 output per million, measured at 788 tok/s by Artificial Analysis. GPT-5.5 manages 72. Opus 4.7 manages 48. The same 1M-output workload that takes Opus almost 6 hours takes Mercury 2 about 21 minutes, with a 33x smaller bill. Where the win sticks, where verbosity claws it back.\",\"date\":\"May 13, 2026\",\"readTime\":\"11 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Mercury 2 Pricing: $0.25/$0.75, 788 tok/s Diffusion LLM\",\"metaDescription\":\"Inception Mercury 2 lists at $0.25/M input, $0.75/M output, measured at 788 tok/s. 40x cheaper output than GPT-5.5, ~11x faster. Workload math vs frontier.\",\"ogImage\":\"/blog/mercury-2-diffusion-llm-pricing-og.webp\",\"heroImage\":\"/blog/mercury-2-diffusion-llm-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"openai-gpt-realtime-2-voice-pricing\",\"title\":\"OpenAI's three new voice models price three different ways. Here is what an hour actually costs.\",\"excerpt\":\"GPT-Realtime-2 bills per million tokens ($32/$64 audio, $0.40 cached). Realtime-Translate is $0.034/min flat. The new Whisper costs $0.017/min, 2.8x what legacy whisper-1 still costs at $0.006. One hour of voice work spans $0.36 to $18 depending on which model you pick. The per-task math vs ElevenLabs, Gemini Live, Deepgram, and Groq.\",\"date\":\"May 12, 2026\",\"readTime\":\"10 min read\",\"category\":\"Model Release\",\"metaTitle\":\"OpenAI Voice Pricing: Realtime-2, Translate, Whisper Cost\",\"metaDescription\":\"GPT-Realtime-2 at $32/M audio in, Realtime-Translate $0.034/min flat, new Whisper $0.017/min (2.8x legacy). One hour priced 4 ways vs ElevenLabs and Gemini.\",\"ogImage\":\"/blog/openai-gpt-realtime-2-voice-pricing-og.webp\",\"heroImage\":\"/blog/openai-gpt-realtime-2-voice-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"hunyuan-hy3-preview-pricing\",\"title\":\"Tencent's Hunyuan HY3 Preview is the cheapest frontier-class model, and it's 14 points behind the leaders on coding\",\"excerpt\":\"Two prices: $0.066/M on OpenRouter, $0.17/M on Tencent Cloud direct. SWE-Bench Verified 74.4%, against GPT-5.5 at 88.7 and Opus 4.7 at 87.6. The cost-per-benchmark-point math works out to 0.17 cents on HY3 versus 12.6 cents on Opus, but the absolute quality gap eats agentic loops. Where the routing actually pays off.\",\"date\":\"May 11, 2026\",\"readTime\":\"9 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Hunyuan HY3 Preview Pricing: $0.07/M, 14 pts Behind Leaders\",\"metaDescription\":\"Tencent Hunyuan HY3 Preview lists at $0.066/M on OpenRouter, 88x cheaper per blended token than Opu
1s 4.7. SWE-Bench 74.4% trails by 14 pts. Cost math.\",\"ogImage\":\"/blog/hunyuan-hy3-preview-pricing-og.webp\",\"heroImage\":\"/blog/hunyuan-hy3-preview-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost\",\"title\":\"GPT-5.5 vs Opus 4.7 vs Gemini 3.1 Pro: the cheapest one depends entirely on whether you cross 200K tokens\",\"excerpt\":\"On a 50K-token request, Gemini 3.1 Pro is cheapest at $0.22, Opus 4.7 next at $0.50, GPT-5.5 last at $0.55. Past 200K, Gemini steps tier. Past 272K, GPT-5.5 doubles. Opus stays nominally flat but bills 25-37% more tokens than 4.6 did. Five real workloads, five different ratios, one routing recommendation.\",\"date\":\"May 10, 2026\",\"readTime\":\"10 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GPT-5.5 vs Opus 4.7 vs Gemini 3.1 Pro: real cost-per-task\",\"metaDescription\":\"All 3 flagships have hidden cost cliffs. GPT-5.5 doubles above 272K. Gemini steps at 200K. Opus 4.7 tokenizer adds 25-37%. Real per-task math, 5 workloads.\",\"ogImage\":\"/blog/gpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-og.webp\",\"heroImage\":\"/blog/gpt-5-5-vs-opus-4-7-vs-gemini-3-1-pro-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-pro-promo-ending-pricing\",\"title\":\"DeepSeek V4-Pro's 75% promo ends May 31. After that, the price is 4x what most people are quoting.\",\"excerpt\":\"Every V4-Pro article since April 24 has been citing the launch promo, not the steady-state rate. DeepSeek's official page now puts the cutoff at May 31, 2026 at 15:59 UTC. After that, $0.435 input becomes $1.74 and $0.87 output becomes $3.48. Twenty-three days of promo are left, and the post-cutover price is the one that should be in your forecast.\",\"date\":\"May 8, 2026\",\"readTime\":\"9 min read\",\"category\":\"Research\",\"metaTitle\":\"DeepSeek V4-Pro Promo Ends May 31: 4x Price Jump Coming\",\"metaDescription\":\"DeepSeek V4-Pro's 75% launch promo expires May 31, 2026. Cache-miss input goes $0.435 to $1.74; output goes $0.87 to $3.48. Math vs Opus 4.7 and GPT-5.5.\",\"ogImage\":\"/blog/deepseek-v4-pro-promo-ending-pricing-og.webp\",\"heroImage\":\"/blog/deepseek-v4-pro-promo-ending-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"glm-4-7-flash-pricing\",\"title\":\"GLM-4.7-flash sits at $0.07 input on AWS Bedrock and Vertex. Most coverage skipped this one.\",\"excerpt\":\"While GLM-5.1 ate every Z.ai headline, GLM-4.7-flash quietly stabilized across AWS Bedrock, Vertex AI, Cerebras, Together, and OpenRouter at $0.07/$0.40 per million tokens with a 200K context window. It is now the cheapest 200K-context model an enterprise can procure through their existing cloud contract. Here is where it actually beats Haiku 4.5, Flash-Lite, and DeepSeek V4-Flash, and where it does not.\",\"date\":\"May 7, 2026\",\"readTime\":\"8 min read\",\"category\":\"Research\",\"metaTitle\":\"GLM-4.7-flash: $0.07/M Input on Bedrock \u0026 Vertex\",\"metaDescription\":\"GLM-4.7-flash now ships on AWS Bedrock, Vertex AI, and OpenRouter at $0.07/$0.40 per 1M tokens with 200K context. Cheaper than Haiku 4.5 and Flash-Lite.\",\"ogImage\":\"/blog/glm-4-7-flash-pricing-og.webp\",\"heroImage\":\"/blog/glm-4-7-flash-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"mistral-medium-3-5-vs-deepseek-v4-flash\",\"title\":\"Mistral Medium 3.5 charges 17x more than DeepSeek V4 Flash and loses the only benchmark they both report\",\"excerpt\":\"Mistral shipped Medium 3.5 on April 29 at $1.50 / $7.50 per million tokens with two published benchmark numbers. DeepSeek V4 Flash sits at $0.14 / $0.28 with ten and beats it on the only shared one. The honest multiplier without caching is 13-17x, not 26x. With cache hits, it gets worse.\",\"date\":\"May 6, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Mistral Medium 3.5 vs DeepSeek V4 Flash: 17x more for less\",\"metaDescription\":\"Mistral Medium 3.5 at $1.50/$7.50 vs DeepSeek V4 Flash at $0.14/$0.28. DeepSeek wins SWE-Bench (79% vs 77.6%) and publishes 10 benchmarks to Mistral's 2.\",\"ogImage\":\"/blog/mistral-medium-3-5-vs-deepseek-v4-flash-og.webp\",\"heroImage\":\"/blog/mistral-medium-3-5-vs-deepseek-v4-flash-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-opus-4-7-tokenizer-real-world-cost\",\"title\":\"Three weeks of Opus 4.7 bills are in. The tokenizer change costs an extra 25 to 37 percent in production.\",\"excerpt\":\"Anthropic kept Opus 4.7 at $5/$25 per million tokens but swapped the tokenizer underneath. Three weeks of production data from Finout, Open
1Router, CloudZero, and Simon Willison show real bills jumped 25-37% on chat, RAG, and coding workloads. Here is what to cache, batch, or migrate.\",\"date\":\"May 5, 2026\",\"readTime\":\"10 min read\",\"category\":\"Research\",\"metaTitle\":\"Opus 4.7 tokenizer cost: 25-37% inflation in production\",\"metaDescription\":\"Three weeks after launch, Finout, OpenRouter, and CloudZero analyses show Claude Opus 4.7's new tokenizer adds 25-37% to real bills despite identical $5/$25 list pricing.\",\"ogImage\":\"/blog/claude-opus-4-7-tokenizer-real-world-cost-og.webp\",\"heroImage\":\"/blog/claude-opus-4-7-tokenizer-real-world-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-5-token-efficiency-cost\",\"title\":\"GPT-5.5 doubled the per-token price. The 40% efficiency claim does not get OpenAI back to even.\",\"excerpt\":\"OpenAI shipped GPT-5.5 at exactly 2x GPT-5.4 pricing and pitched it as a wash because the model uses fewer tokens. The 40% figure traces to Artificial Analysis, not OpenAI. Run the math on three real workloads, factor in the 272K long-context surcharge, and see where the price hike still pencils out.\",\"date\":\"May 4, 2026\",\"readTime\":\"10 min read\",\"category\":\"Research\",\"metaTitle\":\"GPT-5.5 token efficiency vs doubled price: real cost math\",\"metaDescription\":\"GPT-5.5 doubled to $5/$30 per 1M tokens. The 40% token-efficiency claim does not offset the hike on chat, RAG, or coding workloads. Plus the 272K surcharge.\",\"ogImage\":\"/blog/gpt-5-5-token-efficiency-cost-og.webp\",\"heroImage\":\"/blog/gpt-5-5-token-efficiency-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"glm-5-1-pricing-benchmarks\",\"title\":\"GLM-5.1 took SWE-Bench Pro at $1.40/M input. The catch is the small print, not the price.\",\"excerpt\":\"Z.ai shipped a 754B MoE on April 7 that briefly held SWE-Bench Pro at 58.4 - above GPT-5.4 and Opus 4.6 - while charging less than a third per token. MIT licensed, trained on Huawei Ascend, and the time-of-day pricing nobody in the launch coverage flagged.\",\"date\":\"May 3, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GLM-5.1 pricing: $1.40/$4.40, SWE-Bench Pro 58.4, MIT\",\"metaDescription\":\"GLM-5.1 by Z.ai at $1.40/$4.40 per 1M tokens. 754B MoE, MIT licensed, SWE-Bench Pro 58.4. Pricing vs Opus 4.7, GPT-5.5, Kimi K2.6, DeepSeek V4.\",\"ogImage\":\"/blog/glm-5-1-pricing-benchmarks-og.webp\",\"heroImage\":\"/blog/glm-5-1-pricing-benchmarks-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"grok-4-3-pricing-benchmarks\",\"title\":\"Grok 4.3 quietly cut prices 40-60%, then shipped a voice cloner. The pricing math is now hard to ignore.\",\"excerpt\":\"xAI shipped Grok 4.3 at $1.25/$2.50 per million tokens with a 1M context, 192 tok/s output, and a Custom Voices API. Here is the pricing breakdown next to Opus 4.7, GPT-5.5, Gemini 3.1 Pro, and the Chinese frontier crowd, with the regressions left in.\",\"date\":\"May 2, 2026\",\"readTime\":\"9 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Grok 4.3 pricing: $1.25/$2.50, 1M context, voice cloning\",\"metaDescription\":\"xAI Grok 4.3 cuts prices 40-60% to $1.25 input, $2.50 output per 1M tokens. Cost vs Opus 4.7, GPT-5.5, Gemini 3.1 Pro, plus benchmarks and Custom Voices.\",\"ogImage\":\"/blog/grok-4-3-pricing-benchmarks-og.webp\",\"heroImage\":\"/blog/grok-4-3-pricing-benchmarks-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-flash-vs-haiku-nano-flash-lite\",\"title\":\"DeepSeek V4-Flash redrew the budget LLM tier. Here is where Haiku 4.5, GPT-5.4 Nano, and Gemini Flash-Lite now sit.\",\"excerpt\":\"DeepSeek V4-Flash at $0.14/$0.28 dropped the cheap-tier price floor by 4.5x on output. Eight days in, here is what the four budget-tier flagships actually buy you, with pricing, benchmarks, and the operational catches.\",\"date\":\"May 1, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Cheapest LLMs 2026: V4-Flash vs Haiku, Nano, Flash-Lite\",\"metaDescription\":\"DeepSeek V4-Flash at $0.14/$0.28 redrew the budget tier. Pricing, benchmarks, and capability comparison vs Claude Haiku 4.5, GPT-5.4 Nano, Gemini Flash-Lite.\",\"ogImage\":\"/blog/deepseek-v4-flash-vs-haiku-nano-flash-lite-og.webp\",\"heroImage\":\"/blog/deepseek-v4-flash-vs-haiku-nano-flash-lite-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-next-thinking-cheapest-reasoning-model\",\"title\":\"Qwen3-Next-Thinking: the cheapest reasoning model under $1/M output\",\"excerpt\":\"An 80B-param MoE that activates 3B per token, scores 87.8 on AIME25, and costs $0.0975/$0.78 per million tokens. The cheapest native-thinking model on the board, and almost nobody is writing about it.\",\"date\":\"April 30, 2026\",\"readTime\":\"8 min read\",\"category\":\"Research\",\"metaTitle\":\"Qwen3-Next-Thinking pricing: cheapest reasoning LLM 2026\",\"metaDescription\":\"Qwen3-Next-80B-A3B-Thinking: $0.0975/$0.78 per 1M tokens, 87.8 on AIME25, Apache 2.0. Cost breakdown vs DeepSeek V4 Flash, Gemini 3 Flash, Haiku 4.5.\",\"ogImage\":\"/blog/qwen3-next-thinking-cheapest-reasoning-og.webp\",\"heroImage\":\"/blog/qwen3-next-thinking-cheapest-reasoning-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"openai-aws-bedrock-pricing\",\"title\":\"OpenAI on AWS Bedrock: what it costs and what actually changed\",\"excerpt\":\"Microsoft's exclusivity ended April 27. AWS had OpenAI models on Bedrock within 24 hours. GPT-5.4 is limited preview with no published pricing yet - here's what the OSS models cost, what Bedrock adds, and when the direct API 
1still wins.\",\"date\":\"April 30, 2026\",\"readTime\":\"7 min read\",\"category\":\"Comparison\",\"metaTitle\":\"OpenAI on AWS Bedrock: pricing and what changed\",\"metaDescription\":\"OpenAI models hit AWS Bedrock on April 28. GPT-5.4 is limited preview, gpt-oss rates confirmed. What Bedrock adds over the direct API and when it saves money.\",\"ogImage\":\"/blog/openai-aws-bedrock-pricing-og.webp\",\"heroImage\":\"/blog/openai-aws-bedrock-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"github-copilot-metered-billing-2026\",\"title\":\"GitHub Copilot goes metered: what developers will actually pay per 1M tokens\",\"excerpt\":\"GitHub drops premium request units and switches to AI Credits on June 1, 2026. Code completions stay free. Everything else - chat, agents, Workspace - gets billed at the real model rate. Here is what that costs.\",\"date\":\"April 29, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GitHub Copilot metered billing: cost per token (2026)\",\"metaDescription\":\"GitHub Copilot switches to AI Credits on June 1, 2026. Per-token rates for Claude Sonnet 4.6, GPT-5.4, GPT-5.5 and monthly cost estimates for chat and agents.\",\"ogImage\":\"/blog/github-copilot-metered-billing-2026-og.webp\",\"heroImage\":\"/blog/github-copilot-metered-billing-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7\",\"title\":\"DeepSeek V4 vs GPT-5.5 vs Claude Opus 4.7: what three frontier models actually cost\",\"excerpt\":\"Three major releases in two weeks. DeepSeek V4-Pro at launch discount is 11x cheaper on input than GPT-5.5 and Claude Opus 4.7. Here's the full pricing breakdown, benchmark comparison, and which workloads each model actually fits.\",\"date\":\"April 28, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"DeepSeek V4 vs GPT-5.5 vs Claude Opus 4.7 pricing\",\"metaDescription\":\"DeepSeek V4-Pro costs $0.435/M input vs $5/M for GPT-5.5 and Opus 4.7. Full benchmark comparison, cost scenarios, and which frontier model to use in 2026.\",\"ogImage\":\"/blog/deepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-og.webp\",\"heroImage\":\"/blog/deepseek-v4-vs-gpt-5-5-vs-claude-opus-4-7-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-deep-research-agent-cost\",\"title\":\"Gemini Deep Research: what each AI research report actually costs\",\"excerpt\":\"Google launched the Deep Research API on April 21. The official estimate is $1-3 per task - accurate, but it bakes in 50-70% cache hits and doesn't surface that search queries alone add $1.12 per standard run. Here's the full breakdown.\",\"date\":\"April 24, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"Gemini Deep Research pricing: cost per task 2026\",\"metaDescription\":\"Google's Deep Research API costs $2-7 per task. Full cost breakdown: inference, search overhead ($1.12/task), caching, and vs OpenAI Deep Research.\",\"ogImage\":\"/blog/gemini-deep-research-agent-cost-og.webp\",\"heroImage\":\"/blog/gemini-deep-research-agent-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"kimi-k2-6-pricing-benchmarks\",\"title\":\"Kimi K2.6: the fastest model in the top 5, at the lowest price\",\"excerpt\":\"Released April 20, Kimi K2.6 scores 54 on the AA Intelligence Index - 3 points behind the frontier, but $1.71/1M blended and 134 tokens/second. The only model in the top 5 under $2/1M.\",\"date\":\"April 23, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Kimi K2.6 Pricing: $0.95/1M Tokens, #4 Globally\",\"metaDescription\":\"Kimi K2.6 API pricing is $0.95/M input, $4.00/M output - the cheapest top-5 model globally. Full benchmarks, provider comparison, and cost analysis.\",\"ogImage\":\"/blog/kimi-k2-6-og.webp\",\"heroImage\":\"/blog/kimi-k2-6-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-code-vs-openai-codex-2026-cost\",\"title\":\"Claude Code vs OpenAI Codex: which coding agent actually costs less in 2026?\",\"excerpt\":\"OpenAI updated Codex on April 17 with computer use and 90+ plugins. We ran the API numbers across three usage tiers - Codex's container fees make it 4-10x pricier than the per-token rate suggests.\",\"date\":\"April 21, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Claude Code vs OpenAI Codex cost: full API comparison 2026\",\"metaDescription\":\"OpenAI Codex added computer use and 90+ plugins on April 17. We ran the API numbers - container fees make Codex 4-10x pricier than 
1it looks.\",\"ogImage\":\"/blog/claude-code-vs-openai-codex-2026-cost-og.webp\",\"heroImage\":\"/blog/claude-code-vs-openai-codex-2026-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"tts-api-pricing-2026\",\"title\":\"Voice AI APIs in 2026: what Gemini TTS, Voxtral TTS, and OpenAI TTS actually cost per hour\",\"excerpt\":\"Per-token pricing makes TTS costs hard to reason about. We converted Gemini 3.1 Flash TTS, Mistral Voxtral TTS, OpenAI TTS-1, and ElevenLabs to cost per hour of audio at 150 wpm. The range is $0.74-$1.81/hr for API-native options - versus $8-12/hr for ElevenLabs overage.\",\"date\":\"April 20, 2026\",\"readTime\":\"7 min read\",\"category\":\"Comparison\",\"metaTitle\":\"TTS API pricing 2026: Gemini, Voxtral, OpenAI compared\",\"metaDescription\":\"Gemini 3.1 Flash TTS, Mistral Voxtral TTS, and OpenAI TTS priced per hour of audio. API-native costs run $0.74-$1.81/hr vs. $8-12/hr on ElevenLabs.\",\"ogImage\":\"/blog/tts-api-pricing-2026-og.webp\",\"heroImage\":\"/blog/tts-api-pricing-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-flash-pricing\",\"title\":\"Gemini 3 Flash: $0.50 per million tokens, thinking on by default, and it actually beats Pro on agentic tasks\",\"excerpt\":\"Google launched Gemini 3 Flash preview in December 2025 at $0.50 input / $3.00 output. The catch: thinking is on by default and thinking tokens bill as output. The surprise: it beats Gemini 3.1 Pro on Toolathlon (49.4% vs 36.4%) and MCP Atlas while costing 75% less.\",\"date\":\"April 19, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemini 3 Flash Pricing: $0.50/1M, Beats Pro on Agents\",\"metaDescription\":\"Gemini 3 Flash costs $0.50/1M input, $3.00/1M output with thinking tokens billed as output. It outperforms Gemini 3.1 Pro on agentic benchmarks at 75% lower cost.\",\"ogImage\":\"/blog/gemini-3-flash-og.webp\",\"heroImage\":\"/blog/gemini-3-flash-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"tokenmaxxing-llm-api-cost\",\"title\":\"Tokenmaxxing can inflate your LLM API bill by 10x. On Gemini and GPT-5.4, it's worse.\",\"excerpt\":\"The term went viral this week for a practice developers have been doing forever: stuffing prompts with as much context as possible. Two frontier models have hard pricing cliffs where crossing a threshold retroactively doubles the rate for the entire request.\",\"date\":\"April 18, 2026\",\"readTime\":\"7 min read\",\"category\":\"Guide\",\"metaTitle\":\"Tokenmaxxing: why more context inflates your LLM API bill\",\"metaDescription\":\"Sending bigger context can inflate your API bill by 10x or more. Cost breakdowns for Opus 4.7, GPT-5.4, Gemini 3.1 Pro, and the pricing cliff trap.\",\"ogImage\":\"/blog/tokenmaxxing-llm-api-cost-og.webp\",\"heroImage\":\"/blog/tokenmaxxing-llm-api-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-opus-4-7-pricing\",\"title\":\"Claude Opus 4.7: $5 per million tokens - and what that actually means now\",\"excerpt\":\"Released April 16. The per-token rate is unchanged from Opus 4.6. But the new tokenizer can use up to 35% more tokens for the same code or JSON - so your bill depends on what you send, not just how much.\",\"date\":\"April 17, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Claude Opus 4.7 pricing: $5/1M, new tokenizer explained\",\"metaDescription\":\"Claude Opus 4.7 launched April 16 at $5/$25 per million tokens. New tokenizer uses up to 35% more tokens for code and JSON. Full cost math inside.\",\"ogImage\":\"/blog/claude-opus-4-7-pricing-og.webp\",\"heroImage\":\"/blog/claude-opus-4-7-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-code-routines-pricing\",\"title\":\"Claude Code Routines: what each automated run actually costs\",\"excerpt\":\"Routines launched April 14, 2026 as a research preview. They run Claude Code sessions on Anthropic's servers -- scheduled, webhook-triggered, or fired via API. Within your subscription quota, there's no extra charge. Beyond it, you pay API rates. Here's the full cost breakdown.\",\"date\":\"April 16, 2026\",\"readTime\":\"7 min read\",\"category\":\"Guide\",\"metaTitle\":\"Claude Code Routines pricing: cost per automated run\",\"metaDescription\":\"Claude Code Routines share your subscription token pool. API users pay tokens + $0.08/session-hour. Cost breakdown by plan, model, and Routine type.\",\"ogImage\":\"/blog/claude-code-routines-pricing-og.webp\",\"heroImage\":\"/blog/claude-code-routines-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-4-computer-use-cost\",\"title\":\"GPT-5.4 computer use: what a real agent task actually costs\",\"excerpt\":\"Computer use sessions aren't like standard API calls. Screenshots accumulate with conversation history on every turn, GPT-5.4 has a 272K pricing cliff that retroactively doubles your input bill, and the $2.50/M baseline tells you less than you think about what a real task will cost.\",\"date\":\"April 14, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"GPT-5.4 computer use cost: real task pricing guide\",\"metaDescription\":\"Screenshots pile up fast and GPT-5.4 has a 272K pricing cliff. Real cost estimates for web lookup, form filling, and multi-step agent workflows.\",\"ogImage\":\"/blog/gpt-5-4-computer-use-cost-og.webp\",\"heroImage\":\"/blog/gpt-5-4-computer-use-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v4-pricing-preview\",\"title\":\"DeepSeek V4: $0.30 per million tokens for a 1 trillion parameter model\",\"excerpt\":\"DeepSeek V4 is not out yet but every major pricing tracker has landed on $0.30 per million input tokens. The leaked specs show 1M context, 1T total parameters, and no Nvidia hardware. Here is what that means for anyone running production workloads.\",\"date\":\"April 13, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"DeepSeek V4 pricing: $0.30/M tokens, 1T params, 1M context\",\"metaDescription\":\"DeepSeek V4 launches late April 2026. Leaked pricing: $0.30/M input, $0.50/M output, 1M context. Pricing vs GPT-5.4, Claude Opus, plus Huawei chip anal
1ysis.\",\"ogImage\":\"/blog/deepseek-v4-pricing-preview-og.webp\",\"heroImage\":\"/blog/deepseek-v4-pricing-preview-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"chatbot-arena-april-2026-cost-per-quality\",\"title\":\"Chatbot Arena April 2026: Claude leads everything, Grok 4.20 has the cheapest output\",\"excerpt\":\"The April 2026 LMSYS Chatbot Arena leaderboard has Claude Opus 4.6 Thinking at Elo 1504, holding #1 across every major category. Muse Spark is #3 with no public API. Grok 4.20 sits in the top 10 at $6 per million output tokens. Full cost-per-Elo breakdown.\",\"date\":\"April 12, 2026\",\"readTime\":\"7 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Chatbot Arena April 2026: rankings and cost per model\",\"metaDescription\":\"Claude Opus 4.6 Thinking leads Arena at Elo 1504. Muse Spark is #3 with no API. Grok 4.20 is cheapest in top 10 at $2/$6. Full cost-per-Elo breakdown.\",\"ogImage\":\"/blog/chatbot-arena-april-2026-og.webp\",\"heroImage\":\"/blog/chatbot-arena-april-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"openai-chatgpt-pro-100-codex-pricing\",\"title\":\"OpenAI's new $100 ChatGPT Pro: what you actually get on Codex, and when the API wins anyway\",\"excerpt\":\"OpenAI added a new tier on April 9, priced to match Anthropic's Claude Max. It's not a price cut on the $200 plan - it's a new slot below it. Here's the plan comparison, container math, and who the subscription actually makes sense for.\",\"date\":\"April 11, 2026\",\"readTime\":\"7 min read\",\"category\":\"Comparison\",\"metaTitle\":\"OpenAI ChatGPT Pro $100: Codex limits and the API math\",\"metaDescription\":\"OpenAI added a $100/month ChatGPT Pro tier on April 9. Here's what you get on Codex, how it compares to API pricing, and who should pay for it.\",\"ogImage\":\"/blog/openai-chatgpt-pro-100-codex-pricing-og.webp\",\"heroImage\":\"/blog/openai-chatgpt-pro-100-codex-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-5-spud-release-date-pricing\",\"title\":\"GPT-5.5 \\\"Spud\\\": release date, pricing forecast, and what we actually know right now\",\"excerpt\":\"OpenAI finished pretraining on March 24. Polymarket gives it 78% odds of shipping by April 30. Here's everything confirmed, the signal chain, two pricing scenarios based on OpenAI's history, and when API access will realistically land.\",\"date\":\"April 11, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GPT-5.5 Spud: release date and pricing forecast\",\"metaDescription\":\"GPT-5.5 'Spud' pretraining done March 24. Polymarket: 78% by April 30. Two pricing scenarios and when API access actually lands.\",\"ogImage\":\"/blog/gpt-5-5-spud-og.webp\",\"heroImage\":\"/blog/gpt-5-5-spud-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"llm-api-pricing-spectrum-april-2026\",\"title\":\"LLM API pricing in April 2026: from $0.05 to $125 per million tokens\",\"excerpt\":\"The spread between the cheapest and most expensive LLM APIs is now 2,500x on output tokens. Every major model, every tier, and where the real value actually sits - with the full pricing table, cost multiplier breakdown, and when to move up or stay put.\",\"date\":\"April 10, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"LLM API pricing April 2026: $0.05 to $125 per 1M tokens\",\"metaDescription\":\"Complete pricing reference for every major LLM API in April 2026. GPT-5 Nano to Claude Mythos Preview, with tier analysis and cost multiplier breakdown.\",\"ogImage\":\"/blog/llm-api-pricing-spectrum-april-2026-og.webp\",\"heroImage\":\"/blog/llm-api-pricing-spectrum-april-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"meta-muse-spark-pricing\",\"title\":\"Meta Muse Spark: no API pricing, no open weights, and one area where it's best in the world\",\"excerpt\":\"Meta's first proprietary model landed April 8 with benchmarks but no public API. Fourth overall on the Artificial Analysis Intelligence Index, first on healthcare at 42.8% HealthBench Hard. Llama 4 pricing is unchanged. Full benchmark breakdown and what to use while you wait.\",\"date\":\"April 9, 2026\",\"readTime\":\"8 min read\",\"category\":\"Industry\",\"metaTitle\":\"Meta Muse Spark: benchmarks, closed-source, no API yet\",\"metaDescription\":\"Meta's first proprietary model has no public API or pricing yet. Benchmark breakdown vs GPT-5.4 and Gemini, plus what Llama developers need to know.\",\"ogImage\":\"/blog/muse-spark-meta-ai-pricing-og.webp\",\"heroImage\":\"/blog/muse-spark-meta-ai-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"project-glasswing-claude-mythos\",\"title\":\"Project Glasswing and Claude Mythos Preview: the AI that found a 27-year-old bug for under $50\",\"excerpt\":\"On April 7, Anthropic officially announced Project Glasswing - a coalition of 52+ organizations with exclusive access to Claude Mythos Preview for defensive security work. The model costs $25/1M input, is not publicly available, and has already found zero-days in every major OS and browser. SWE-bench: 93.9%. Firefox exploits: 181 (Opus managed 2). Full benchmark table, zero-day breakdown, and what the pricing actually means.\",\"date\":\"April 8, 2026\",\"readTime\":\"9 min read\",\"category\":\"Industry\",\"metaTitle\":\"Project Glasswing: Claude Mythos pricing and zero-days\",\"metaDescription\":\"Claude Mythos Preview: $25/1M input, $125/1M output, gated to Glasswing partners. Found a 27-year-old OpenBSD zero-day for under $50. Benchmarks inside.\",\"ogImage\":\"/blog/project-glasswing-claude-mythos-og.webp\",\"heroImage\":\"/blog/project-glasswing-claude-mythos-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-code-getting-worse-april-2026\",\"title\":\"Is Claude Code getting worse? The data says something did change on March 8.\",\"excerpt\":\"AMD's Senior Director of AI published 6,852 session logs showing Claude's thinking depth dropped 67% before anyone could see it. Reads per edit fell from 6.6 to 2.0. User interrupts per 1K tool calls jumped 1,167%. One developer's AWS Bedrock bill went from $345 in February to $42,121 in March. Here's what the data shows, what Anthropic said, and whether the Mythos timing is coincidence.\",\"date\":\"April 8, 2026\",\"readTime\":\"8 min read\",\"category\":\"Research\",\"metaTitle\":\"Is Claude Code getting worse? March 2026 data\",\"metaDescription\":\"6,852 sessions show Claude Code thinking depth fell 67% from baseline. March 8 regression date, cost went from $345 to $42K/month. What Anthropic said.\",\"ogImage\":\"/blog/claude-code-getting-worse-april-2026-og.webp\",\"heroImage\":\"/blog/claude-code-getting-worse-april-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-code-third-party-pricing-change\",\"title\":\"Claude Max subscribers using OpenClaw now pay API rates. Here's the math.\",\"excerpt\":\"Effective April 4, 2026, Anthropic stopped counting third-party tool usage against Claude subscriptions. OpenClaw got cut first, every other harness follows. For heavy users running Opus 4.6 all day, the jump goes from $200/month to over $3,000/month. Full cost math across usage levels, what the transition credit covers, and what your options look like now.\",\"date\":\"April 8, 2026\",\"readTime\":\"7 min read\",\"category\":\"Industry\",\"metaTitle\":\"Claude Code third-party pricing change: what it costs now\",\"metaDescription\":\"Anthropic blocked OpenClaw from Claude subscriptions April 4. Third-party tools now pay API rates: Sonnet 4.6 at $3/$15 per MTok. Cost math and alternatives.\",\"ogImage\":\"/blog/claude-code-third-party-pricing-change-og.webp\",\"heroImage\":\"/blog/claude-code-third-party-pricing-change-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"microsoft-mai-models-pricing\",\"title\":\"Microsoft MAI models: what MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 actually cost\",\"excerpt\":\"Three proprietary foundation models from Microsoft's MAI group, released April 2, 2026. MAI-Transcribe-1 matches OpenAI Whisper at $0.36/audio hour but supports only 25 languages and batch-only. MAI-Voice-1 at $22/1M characters lands between OpenAI's TTS tiers. MAI-Image-2 is ~$0.034 per image and ranked #3 on Arena.ai. Full pricing tables and cost comparisons vs OpenAI, ElevenLabs, DALL-E.\",\"date\":\"April 7, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Microsoft MAI model pricing: Transcribe, Voice, Image\",\"metaDescription\":\"MAI-Transcribe-1: $0.36/hr, 25 languages. MAI-Voice-1: $22/1M chars. MAI-Image-2: ~$0.034/image, #3 Arena.ai. Full pricing vs OpenAI, ElevenLabs, DALL-E.\",\"ogImage\":\"/blog/microsoft-mai-models-pricing-og.webp\",\"heroImage\":\"/blog/microsoft-mai-models-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-1-pro-pricing-benchmarks\",\"title\":\"Gemini 3.1 Pro: $2 input, tied for #1 on benchmarks, and 20% cheaper than GPT-5.4\",\"excerpt\":\"Released February 19, 2026. Costs $2.00/1M input, $12.00/1M output (under 200K tokens). Tied #1 on Artificial Analysis Intelligence Index with GPT-5.4 at score 57, but 20% cheaper on both input and output. 94.3% GPQA Diamond, 77.1% ARC-AGI-2, 127 tokens/second. Full pricing tiers, benchmark table, and cost comparison vs GPT-5.4 and Claude Opus 4.6.\",\"date\":\"April 7, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemini 3.1 Pro pricing, benchmarks, and cost comparison\",\"metaDescription\":\"Gemini 3.1 Pro: $2/1M input, $12/1M output. Tied #1 with GPT-5.4, 20% cheaper. 94.3% GPQA Diamond, 77.1% ARC-AGI-2, 127 t/s. Full pricing tiers and comparison.\",\"ogImage\":\"/blog/gemini-3-1-pro-pricing-benchmarks-og.webp\",\"heroImage\":\"/blog/gemini-3-1-pro-pricing-benchmarks-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-5-omni-pricing-benchmarks\",\"title\":\"Qwen3.5-Omni: the pricing, the audio benchmarks, and whether the architecture hype is real\",\"excerpt\":\"Released March 30, 2026. Three variants: Plus (30B-A3B MoE), Flash, Light (open weights). Provisional pricing: Flash at ~$0.065/M input, Plus at ~$0.40/M - free preview on DashScope until official rates land. Beats Gemini 3.1 Pro on every audio benchmark published, with a 7x gap on Cantonese ASR. Not on OpenRouter. Full benchmark table, cost comparison vs GPT-4o, and what the Thinker-Talker architecture actually changes.\",\"date\":\"April 6, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.5-Omni pricing and benchmarks vs Gemini\",\"metaDescription\":\"Qwen3.5-Omni Plus beats Gemini 3.1 Pro on all audio benchmarks. Flash ~$0.065/M input (provisional). 256K context, real-time voice. Not on OpenRouter.\",\"ogImage\":\"/blog/qwen3-5-omni-pricing-benchmarks-og.webp\",\"heroImage\":\"/blog/qwen3-5-omni-pricing-benchmarks-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen3-6-plus-pricing-benchmarks\",\"title\":\"Qwen3.6-Plus: $0.28 per million input tokens, and the benchmark comparison Alibaba chose not to lead with\",\"excerpt\":\"Released April 2, 2026. At $0.276/M input globally, Qwen3.6-Plus costs 18x less than Claude Opus 4.6. It leads on multimodal benchmarks. On agentic coding, Claude 4.6 Opus still wins - which is why Alibaba compared against the older 4.5. Full pricing breakdown, benchmark table, and cost scenarios.\",\"date\":\"April 6, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.6-Plus pricing and benchmarks vs Claude Opus 4.6\",\"metaDescription\":\"Qwen3.6-Plus costs $0.276/M input tokens - 18x cheaper than Claude Opus 4.6 at $5/M. Leads on multimodal benchmarks, falls behind on agentic coding. Full comparison.\",\"ogImage\":\"/blog/qwen3-6-plus-pricing-benchmarks-og.webp\",\"heroImage\":\"/blog/qwen3-6-plus-pricing-benchmarks-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-haiku-3-deprecation-migration\",\"title\":\"Claude Haiku 3 retires April 19: it's not just a model ID swap\",\"excerpt\":\"claude-3-haiku-20240307 hits end of life April 19, 2026. Haiku 4.5 is the official replacement at $1.00/$5.00 per million tokens - 4x more expensive. Swapping the model string alone will break your code: temperature and top_p can no longer both be set, two new stop reasons were added, and trailing newlines in tool parameters are now preserved. Full cost breakdown and migration guide.\",\"date\":\"April 5, 2026\",\"readTime\":\"7 min read\",\"category\":\"Guide\",\"metaTitle\":\"Claude Haiku 3 deprecated: migration cost guide\",\"metaDescription\":\"claude-3-haiku-20240307 retires April 19, 2026. API calls fail. Haiku 4.5 costs 4x more. Four breaking API changes, full cost breakdown and migration guide.\",\"ogImage\":\"/blog/claude-haiku-3-deprecation-migration-og.webp\",\"heroImage\":\"/blog/claude-haiku-3-deprecation-migration-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemma-4-pricing-benchmarks\",\"title\":\"Gemma 4 is out: $0.14 per million tokens for a 31B model scoring 89% on AIME\",\"excerpt\":\"Google DeepMind released four Gemma 4 models on April 2. The 31B scores 89.2% on AIME 2026 and 84.3% on GPQA Diamond. The 26B MoE variant costs even less at $0.13/M input with only 3.8B active params and near-identical scores. Gemma 3 27B scored 20.8% on AIME. Here is the full pricing and benchmark breakdown.\",\"date\":\"April 5, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemma 4 pricing: $0.14/M for 89% AIME, 84% GPQA\",\"metaDescription\":\"Gemma 4 31B: $0.14/M input on OpenRouter, 89.2% AIME 2026, 84.3% GPQA Diamond. 26B MoE: $0.13/M with 3.8B active params. Full benchmark comparison with Gemma 3.\",\"ogImage\":\"/blog/gemma-4-pricing-benchmarks-og.webp\",\"heroImage\":\"/blog/gemma-4-pricing-benchmarks-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"reasoning-models-pricing-2026\",\"title\":\"Reasoning models in 2026: $0.55 to $20 per million tokens, and when each tier makes sense\",\"excerpt\":\"DeepSeek R1 costs $0.55 per million input tokens. o3-pro costs $20. On GPQA Diamond, R1 scores 81.0% vs o4-mini's 81.4% - effectively tied. On SWE-bench, o4-mini wins by 23+ points. Here is the full benchmark breakdown, thinking token billing comparison, and a decision guide for picking the right reasoning model.\",\"date\":\"April 5, 2026\",\"readTime\":\"7 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Reasoning models 2026: o3-pro vs DeepSeek R1 pricing\",\"metaDescription\":\"o3-pro: $20/M input, 
1101s wait time. DeepSeek R1: $0.55/M, near-ties o3 on science. o4-mini: best for code at $1.10/M. Full benchmark breakdown and decision guide.\",\"ogImage\":\"/blog/reasoning-models-pricing-2026-og.webp\",\"heroImage\":\"/blog/reasoning-models-pricing-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-flex-priority-inference-tiers\",\"title\":\"Gemini Flex and Priority inference: how Google's new tiers work and what they cost\",\"excerpt\":\"Google added Flex and Priority inference to the Gemini API on April 2. Flex gives you batch-level pricing (50% off) with synchronous responses in 1-15 minutes -- no async job management needed. Priority costs 80% more and guarantees fast responses during load spikes, but silently downgrades to Standard when rate limits are hit. Here's the full pricing breakdown and how to pick the right tier.\",\"date\":\"April 4, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"Gemini Flex vs Priority inference tiers: pricing guide\",\"metaDescription\":\"Gemini Flex: 50% off, synchronous, 1-15 min latency. Priority: +80%, guaranteed fast responses, Tier 2 only. Full pricing table and silent downgrade gotcha.\",\"ogImage\":\"/blog/gemini-flex-priority-inference-tiers-og.webp\",\"heroImage\":\"/blog/gemini-flex-priority-inference-tiers-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-api-billing-caps-2026\",\"title\":\"Google Gemini API billing caps are live: what developers need to know\",\"excerpt\":\"As of April 1, 2026, Google enforces mandatory monthly spend caps on all Gemini API billing accounts. Tier 1 hits at $250/month. There is a 10-minute enforcement gap where you can still rack up charges. Here is how the tier system works, what triggers an upgrade, and what it costs to run on Gemini vs alternatives.\",\"date\":\"April 1, 2026\",\"readTime\":\"7 min read\",\"category\":\"Industry\",\"metaTitle\":\"Gemini API billing caps April 2026: tiers explained\",\"metaDescription\":\"Gemini API mandatory spend caps went live April 1, 2026. Tier 1: $250/month cap. How the tier system works, the 10-minute enforcement gap, and alternatives.\",\"ogImage\":\"/blog/gemini-api-billing-caps-2026-og.webp\",\"heroImage\":\"/blog/gemini-api-billing-caps-2026-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"openai-deep-research-api-pricing\",\"title\":\"OpenAI Deep Research API: what it costs, and why o3-deep-research is 5x pricier than o3\",\"excerpt\":\"o3-deep-research runs at $10 per million input tokens -- the same base model as o3, which costs $2. You are not paying for a different model. You are paying for the autonomous research workflow: 10-30 web searches per query, multi-source synthesis, long-form output. Here is the full cost breakdown and when the premium makes sense.\",\"date\":\"April 1, 2026\",\"readTime\":\"7 min read\",\"category\":\"Guide\",\"metaTitle\":\"OpenAI Deep Research API pricing 2026: o3 vs o4-mini\",\"metaDescription\":\"o3-deep-research: $10/$40 per million tokens. o4-mini-deep-research: $2/$8. Why the 5x premium, what queries cost, and when deep research pays off.\",\"ogImage\":\"/blog/openai-deep-research-api-pricing-og.webp\",\"heroImage\":\"/blog/openai-deep-research-api-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"openai-sora-shutdown-economics\",\"title\":\"OpenAI killed Sora. The math explains why.\",\"excerpt\":\"$$2.1 million in total revenue against $15 million per day in inference costs. A $1 billion Disney deal where no money changed hands. Sora lasted six months. Here are the numbers behind the most expensive AI product failure so far.\",\"date\":\"March 31, 2026\",\"readTime\":\"9 min read\",\"category\":\"Industry\",\"metaTitle\":\"OpenAI Sora shutdown: $15M/day costs, $2.1M revenue\",\"metaDescription\":\"OpenAI shut down Sora after $15M/day inference costs vs $2.1M total revenue. Cost per clip: $1.30. Disney $1B deal collapsed. Full economics breakdown.\",\"ogImage\":\"/blog/openai-sora-shutdown-economics-og.webp\",\"heroImage\":\"/blog/openai-sora-shutdown-economics-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"arc-agi-3-benchmark-cost\",\"title\":\"ARC-AGI-3: the benchmark no AI can crack, and what running it costs\",\"excerpt\":\"Launched March 25, 2026 at Y Combinator, ARC-AGI-3 is an interactive benchmark with zero instructions -- the AI must figure out the goal itself. Gemini 3.1 Pro leads all frontier models at 0.37%. It cost $2,200 to get there. Claude Opus 4.6 scored 0.20% for $8,900. Humans score 100%.\",\"date\":\"March 31, 2026\",\"readTime\":\"8 min read\",\"category\":\"Research\",\"metaTitle\":\"ARC-AGI-3 benchmark: scores, eval costs, API pricing (2026)\",\"metaDescription\":\"ARC-AGI-3 launched March 25, 2026. Best AI score: 0.37% (Gemini). Eval costs $2,200-$8,900. Scores, API pricing, and cost breakdown for all frontier models.\",\"ogImage\":\"/blog/arc-agi-3-benchmark-cost-og.webp\",\"heroImage\":\"/blog/arc-agi-3-benchmark-cost-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-2-0-flash-deprecated-migration-cost\",\"title\":\"Gemini 2.0 Flash is deprecated: what migration actually costs you\",\"excerpt\":\"Google deprecated Gemini 2.0 Flash on February 18, 2026, with a June 1 shutdown. The obvious replacement - Gemini 2.5 Flash - is 3x more expensive on input and 6x on output. There is a same-cost path, and thinking tokens will spike your bill if you miss one config change.\",\"date\":\"March 30, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"Gemini 2.0 Flash deprecated: migration cost guide 2026\",\"metaDescription\":\"Gemini 2.0 Flash shuts down June 1, 2026. 2.5 Flash costs 3x more on input, 6x on output. 2.5 Flash-Lite matches the old price. Full cost breakdown.\",\"ogImage\":\"/blog/gemini-2-0-flash-deprecated-og.webp\",\"heroImage\":\"/blog/gemini-2-0-flash-deprecated-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"kimi-k2-5-vs-gpt-5-4-coding-pricing\",\"title\":\"Kimi K2.5 vs GPT-5.4: the model Cursor built on, and what it actually costs\",\"excerpt\":\"Cursor launched Composer 2 without disclosing the base model. A developer intercepted the model ID six hours later -- it was fine-tuned Kimi K2.5 from Moonshot AI. At $0.60/$3.00 per million tokens, it costs about 5x less than GPT-5.4. Here is the full pricing breakdown and what the coding benchmarks actually show.\",\"date\":\"March 29, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Kimi K2.5 vs GPT-5.4: Pricing, Benchmarks \u0026 Cursor Story\",\"metaDescription\":\"Kimi K2.5 costs $0.60/1M input, $3.00/1M output -- 4.9x cheaper than GPT-5.4. The model behind Cursor Composer 2. Pricing tables and SWE-bench results.\",\"ogImage\":\"/blog/kimi-k2-5-vs-gpt-5-4-og.webp\",\"heroImage\":\"/blog/kimi-k2-5-vs-gpt-5-4-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"openai-codex-pricing-api-cost\",\"title\":\"OpenAI Codex pricing: API costs, container billing, and how it stacks up against Claude Code\",\"excerpt\":\"OpenAI Codex runs on gpt-5.2-codex at $1.75/$14.00 per million tokens -- cheaper on input than Claude Sonnet 4.6, roughly equal on output. Container fees add $0.03 to $1.92 per task on top of token costs. Here is the full cost breakdown and a direct comparison with Claude Code.\",\"date\":\"March 28, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"OpenAI Codex Pricing 2026: API Costs vs Claude Code\",\"metaDescription\":\"OpenAI Codex uses gpt-5.2-codex at $1.75/1M input, $14/1M output. Container fees $0.03-$1.92 per task. Full API cost comparison vs Claude Code and Sonnet 4.6.\",\"ogImage\":\"/blog/openai-codex-pricing-og.webp\",\"heroImage\":\"/blog/openai-codex-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-code-cost-per-session\",\"title\":\"How much does Claude Code actually cost per session?\",\"excerpt\":\"Anthropic says the average is $6 per developer per day. Here's what a simple bug fix, a complex feature, and an autonomous computer control session actually cost at current API prices -- and where token bills quietly get large.\",\"date\":\"March 28, 2026\",\"readTime\":\"8 min read\",\"category\":\"Guide\",\"metaTitle\":\"Claude Code cost per session: what you actually pay\",\"metaDescription\":\"Anthropic says Claude Code averages $6/dev/day. Here's what a bug fix, feature build, and agentic computer control actually cost at current API prices.\",\"ogImage\":\"/blog/claude-code-cost-per-session-og.webp\",\"heroImage\":\"/blog/claude-code-cost-per-session-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-mythos-pricing\",\"title\":\"Claude Mythos pricing: what Anthropic's leaked new model will cost developers\",\"excerpt\":\"Anthropic accidentally exposed internal documents describing Claude Mythos, a new tier above Opus codenamed Capybara. No official pricing yet -- but Opus 4.6 Fast Mode already costs $30/$150 per million tokens, and GPT-5.4 Pro is $30/$180. Here is what the math suggests Mythos will cost when it ships.\",\"date\":\"March 27, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Claude Mythos Pricing: What the Leaked Model Will Cost\",\"metaDescription\":\"Claude Mythos leaked March 27. No official pricing yet. We project $10-30/M input tokens based on Anthropic's history and Opus 4.6 Fast Mode pricing.\",\"ogImage\":\"/blog/claude-mythos-pricing-og.webp\",\"heroImage\":\"/blog/claude-mythos-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"grok-4-20-beta-pricing-benchmarks\",\"title\":\"Grok 4.20 Beta: $2 per million tokens, 2M context, and the lowest hallucination rate measured so far\",\"excerpt\":\"xAI's Grok 4.20 Beta costs $2.00 input / $6.00 output -- cheaper than the Grok 4 it replaces and well below Claude Sonnet 4.6 on output. It ranks #1 on IFBench instruction following (83%), hit a record 78% non-hallucination rate, and expanded context to 2M tokens at flat pricing.\",\"date\":\"March 26, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Grok 4.20 Beta: Pricing, Benchmarks \u0026 2M Context (2026)\",\"metaDescription\":\"Grok 4.20 Beta costs $2/1M input, $6/1M output. #1 instruction following, record 78% non-hallucination. Full pricing vs GPT-5.4 and Claude Sonnet 4.6.\",\"ogImage\":\"/blog/grok-4-20-beta-pricing-benchmarks-og.webp\",\"heroImage\":\"/blog/grok-4-20-beta-pricing-benchmarks-hero.webp\",\"author\":\"Ankit Aglawe\"}
1,{\"slug\":\"llama-4-scout-vs-maverick-api-pricing\",\"title\":\"Llama 4 Scout vs Maverick: API pricing, self-hosting costs, and which one to use\",\"excerpt\":\"Maverick scores 69.8 on GPQA Diamond and costs $0.15 per million input tokens at DeepInfra. Scout has a 10-million-token context window and runs on a single H100. Both activate 17B parameters per token. Here is the full pricing breakdown across providers, plus the self-hosting math.\",\"date\":\"March 26, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"Llama 4 Scout vs Maverick: API Cost \u0026 Self-Hosting Guide\",\"metaDescription\":\"Llama 4 Scout at $0.08/M input, Maverick at $0.15/M. Provider pricing tables, self-hosting math, benchmarks vs GPT-4o, and which model to use.\",\"ogImage\":\"/blog/llama-4-scout-vs-maverick-api-pricing-og.webp\",\"heroImage\":\"/blog/llama-4-scout-vs-maverick-api-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"deepseek-v3-2-vs-gpt-5-4-pricing\",\"title\":\"DeepSeek V3.2 vs GPT-5.4: Is the 30x price gap worth it?\",\"excerpt\":\"DeepSeek V3.2 costs $0.28 per million input tokens. GPT-5.4 costs $2.50. We went through the benchmarks, context window caveats, and real cost math to figure out when you should pay more and when you're just burning money.\",\"date\":\"March 25, 2026\",\"readTime\":\"8 min read\",\"category\":\"Comparison\",\"metaTitle\":\"DeepSeek V3.2 vs GPT-5.4: API Cost Breakdown 2026\",\"metaDescription\":\"DeepSeek V3.2 costs $0.28/1M input tokens. GPT-5.4 costs $2.50. Benchmark comparison, cost scenarios, and when each model is worth it.\",\"ogImage\":\"/blog/deepseek-v3-2-vs-gpt-5-4-og.webp\",\"heroImage\":\"/blog/deepseek-v3-2-vs-gpt-5-4-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"qwen-3-5-small-benchmarks-pricing\",\"title\":\"Qwen3.5 Small: the 9B model that beats gpt-oss-120B on four benchmarks\",\"excerpt\":\"Alibaba released four small models on March 2. The 9B scores 82.5 on MMLU-Pro, ahead of gpt-oss-120B (80.8) and Qwen3-30B (80.9) with 13x fewer parameters. At $0.05 per million input tokens, it is one of the cheapest capable models available.\",\"date\":\"March 24, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Qwen3.5 Small: Benchmarks, Pricing \u0026 the 9B vs 120B Result\",\"metaDescription\":\"Alibaba's Qwen3.5-9B outperforms gpt-oss-120B on MMLU-Pro and costs $0.05/M tokens. Pricing, benchmarks, and cost scenarios for all four sizes.\",\"ogImage\":\"/blog/qwen-3-5-small-benchmarks-pricing-og.webp\",\"heroImage\":\"/blog/qwen-3-5-small-benchmarks-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"anthropic-long-context-flat-pricing\",\"title\":\"Anthropic drops the 2x long-context surcharge: what Claude now costs at 1M tokens\",\"excerpt\":\"On March 13, Anthropic removed the pricing penalty that doubled your bill when prompts crossed 200K tokens. Claude Sonnet 4.6 at 1M tokens is now $3 flat. GPT-5.4 and Gemini 3.1 Pro still have tiered pricing cliffs.\",\"date\":\"March 24, 2026\",\"readTime\":\"7 min read\",\"category\":\"Industry\",\"metaTitle\":\"Claude 1M Token Cost: Long-Context Surcharge Gone\",\"metaDescription\":\"Anthropic dropped the 2x long-context surcharge on March 13. Claude Sonnet 4.6 at 1M tokens now costs $3/M flat. GPT-5.4 still has a 272K pricing cliff. Full comparison with exact numbers.\",\"ogImage\":\"/blog/anthropic-long-context-flat-pricing-og.webp\",\"heroImage\":\"/blog/anthropic-long-context-flat-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"xiaomi-mimo-v2-pro-pricing\",\"title\":\"Xiaomi MiMo-V2-Pro: the trillion-parameter model that fooled everyone into thinking it was DeepSeek\",\"excerpt\":\"For a week, developers thought 'Hunter Alpha' was a stealth DeepSeek V4 leak. It was Xiaomi. MiMo-V2-Pro has 1T+ parameters, scores 78% on SWE-bench, and costs $1 per million input tokens - within 3 points of Claude Opus 4.6 at one-fifth the price.\",\"date\":\"March 23, 2026\",\"readTime\":\"9 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Xiaomi MiMo-V2-Pro: Pricing, Benchmarks \u0026 API Cost\",\"metaDescription\":\"MiMo-V2-Pro costs $1/1M input, $3/1M output. 78% SWE-bench (3rd globally), 1T+ params, 42B active. 3x cheaper than Claude Sonnet 4.6. The Hunter Alpha mystery explained.\",\"ogImage\":\"/blog/xiaomi-mimo-v2-pro-pricing-og.webp\",\"heroImage\":\"/blog/xiaomi-mimo-v2-pro-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gemini-3-1-flash-lite-pricing\",\"title\":\"Gemini 3.1 Flash-Lite: $0.25 per million tokens, 1M context, and benchmark scores that beat Claude Haiku\",\"excerpt\":\"Google shipped Gemini 3.1 Flash-Lite on March 3 at $0.25/1M input, $1.50/1M output. It scores 86.9% on GPQA Diamond - 14 points ahead of Claude 4.5 Haiku at 4x the price. Here's the full breakdown on pricing, benchmarks, and where it fits.\",\"date\":\"March 23, 2026\",\"readTime\":\"8 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Gemini 3.1 Flash-Lite Pricing \u0026 Benchmarks (2026)\",\"metaDescription\":\"Gemini 3.1 Flash-Lite costs $0.25/1M input, $1.50/1M output with 1M context. Scores 86.9% GPQA Diamond, beating Claude Haiku at 4x lower cost.\",\"ogImage\":\"/blog/gemini-3-1-flash-lite-og.webp\",\"heroImage\":\"/blog/gemini-3-1-flash-lite-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"mistral-small-4-pricing\",\"title\":\"Mistral Small 4: $0.15 per million input tokens for a multimodal MoE model\",\"excerpt\":\"Mistral shipped a 119B MoE model that activates only 6.5B parameters per token. It handles text and images, has configurable reasoning, and costs 5x less than GPT-5.4 Mini. Here's the full pricing breakdown.\",\"date\":\"March 23, 2026\",\"readTime\":\"7 min read\",\"category\":\"Model Release\",\"metaTitle\":\"Mistral Small 4 Pricing \u0026 Benchmarks (2026)\",\"metaDescription\":\"Mistral Small 4 costs $0.15/1M input. 119B MoE with 6.5B active params, multimodal, configurable reasoning. 5x cheaper than GPT-5.4 Mini.\",\"ogImage\":\"/blog/mistral-small-4-pricing-og.webp\",\"heroImage\":\"/blog/mistral-small-4-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"gpt-5-4-mini-vs-nano-pricing\",\"title\":\"GPT-5.4 Mini vs Nano: pricing, benchmarks, and which one to use\",\"excerpt\":\"OpenAI shipped GPT-5.4 mini ($0.75/1M input) and nano ($0.20/1M input) on March 17. Both are faster than GPT-5 mini but 3-4x pricier. We broke down every benchmark, compared them against Claude Haiku and Gemini Flash-Lite, and figured out when each one makes sense.\",\"date\":\"March 23, 2026\",\"readTime\":\"9 min read\",\"category\":\"Comparison\",\"metaTitle\":\"GPT-5.4 Mini vs Nano Pricing \u0026 Benchmarks (2026)\",\"metaDescription\":\"GPT-5.4 Mini costs $0.75/1M input, Nano $0.20/1M. Full pricing, benchmarks, and cost comparison vs Claude Haiku and Gemini Flash-Lite.\",\"ogImage\":\"/blog/gpt-5-4-mini-vs-nano-pricing-og.webp\",\"heroImage\":\"/blog/gpt-5-4-mini-vs-nano-pricing-hero.webp\",\"author\":\"Ankit Aglawe\"},{\"slug\":\"claude-5-release-date-pricing\",\"title\":\"Claude 5 release date: what Anthropic has actually said\",\"excerpt\":\"Anthropic hasn't announced Claude 5. But between Dario Amodei's public statements, their release cadence, and a $30B funding round, we can piece together a realistic timeline and pricing projection.\",\"date\":\"March 20, 2026\",\"readTime\":\"8 min read\",\"category\":\"Industry\",\"metaTitle\":\"Claude 5 Release Date \u0026 Expected Pricing (2026)\",\"metaDescription\":\"Anthropic hasn't announced Claude 5. What Amodei actually said, the release cadence, leaked model IDs, and pricing projection.\",\"ogImage\":\"/blog/claude-5-release-date-pricing-og.webp\",\"author\":\"TokenCost Team\"},{\"slug\":\"cut-llm-api-costs\",\"title\":\"How to cut your LLM API bill by 60% without changing models\",\"excerpt\":\"Five tactics that work with any provider. Prompt caching, batch processing, output optimization, model routing, and semantic caching. We tested each one and did the math on a $15K/month workload.\",\"date\":\"March 20, 2026\",\"readTime\":\"10 min read\",\"category\":\"Guide\",\"metaTitle\":\"Cut LLM API Costs 60% Without Changing Models\",\"metaDescription\":\"Five proven tactics to cut LLM API costs by 60%: prompt c
1aching, batch API, output optimization, and model routing with worked examples.\",\"ogImage\":\"/blog/cut-llm-api-costs-og.webp\",\"author\":\"TokenCost Team\"},{\"slug\":\"ai-price-index\",\"title\":\"The AI Price Index: How LLM costs dropped 300x in three years\",\"excerpt\":\"In March 2023, GPT-4 cost $30 per million input tokens. Today, you can get GPT-4-level quality for under $0.10. We tracked every major price change across OpenAI, Anthropic, Google, and DeepSeek. Here's the full timeline.\",\"date\":\"March 20, 2026\",\"readTime\":\"12 min read\",\"category\":\"Research\",\"metaTitle\":\"AI Price Index: LLM Costs Dropped 300x (2023-2026)\",\"metaDescription\":\"Historical pricing for GPT-4, Claude, Gemini, and DeepSeek from 2023-2026. How AI API costs dropped 300x and the 14 moments that shaped it.\",\"ogImage\":\"/blog/ai-price-index-og.webp\",\"author\":\"TokenCost Team\"},{\"slug\":\"glm-5-turbo-openclaw-pricing\",\"title\":\"GLM-5 Turbo: the first model built for OpenClaw. Is it worth $1.20 per million tokens?\",\"excerpt\":\"Zhipu released a model trained from scratch for OpenClaw agentic workflows. At $1.20/1M input it's 4x pricier than MiniMax M2.5. Here's the pricing breakdown, how it compares, and whether the premium buys you anything real.\",\"date\":\"March 16, 2026\",\"readTime\":\"6 min read\",\"category\":\"Model Release\",\"metaTitle\":\"GLM-5 Turbo Pricing for OpenClaw: Worth It? (2026)\",\"metaDescription\":\"GLM-5 Turbo costs $1.20/1M input, $4.00/1M output. Built specifically for OpenClaw agentic workflows. 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