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7<section class="ModelMarket_articleHero__lxhwR"><p class="ModelMarket_eyebrow__dHiN1">THE MODEL SELECTION SERIES</p><h1>LLM API pricing calculator</h1><p>API prices are usually quoted per million tokens, but your budget depends on how much context you send and how much output the model bills. Change the calculator to compare the same workload across providers.</p><p class="ModelMarket_sourceLine__4duXO">Snapshot <time dateTime="2026-10-03">2026-10-03</time> · LiveBench question set: 25 June 2026 · <a href="/ai-models/methodology#sources">View every source ↗</a> · <a href="/data/ai-models-2026-10-03.json" download="">Download snapshot ↓</a></p></section><div class="ModelMarket_guideGrid__PxWKq"><article><span class="ModelMarket_kicker__eG1LY">0<!-- -->1<!-- --> / WHAT TO CHECK</span><h2>Read input and output prices together</h2><p>A model priced at $2 input and $10 output per million tokens costs $40 for 1,000 calls of 10,000 input and 2,000 output tokens each. Different tokenizers can turn the same text into different token counts.</p></article><article><span class="ModelMarket_kicker__eG1LY">0<!-- -->2<!-- --> / WHAT TO CHECK</span><h2>Reasoning, caching and long context change the bill</h2><p>Include billed reasoning tokens in output. Cache reads may be cheaper while cache writes can cost more. Some providers charge higher rates for large prompts or premium service tiers. Our estimate excludes those adjustments; check the linked source before committing a budget.</p></article><article><span class="ModelMarket_kicker__eG1LY">0<!-- -->3<!-- --> / WHAT TO CHECK</span><h2>Direct API and routed prices are different offers</h2><p>We use verified direct prices for selected OpenAI and Anthropic models and explicitly labeled OpenRouter catalog rates for other models. A catalog entry can route across endpoints with different prices and limits. Each profile shows the exact catalog identifier and any observed price difference.</p></article><article><span class="ModelMarket_kicker__eG1LY">0<!-- -->4<!-- --> / WHAT TO CHECK</span><h2>Use Practical Value as a preference, not a financial forecast</h2><p>The default score combines 70% task-weighted capability with 30% affordability rank within the snapshot. Move the slider to express your tradeoff. It does not predict task success, retries, hosting charges or actual monthly savings.</p></article></div><section class="ModelMarket_workspace__XoQ46" id="explorer" aria-labelledby="explorer-heading"><div class="ModelMarket_sectionHeading__rpRX6"><div><p class="ModelMarket_eyebrow__dHiN1">YOUR WORKLOAD. YOUR PRIORITIES.</p><h2 id="explorer-heading">Find your model sweet spot.</h2></div><a href="/ai-models/methodology">How our ratings work ↗</a></div><div class="ModelMarket_profileTabs__AfGgO" role="group" aria-label="Agent task profile"><button type="button" aria-pressed="true">General agent</button><button type="button" aria-pressed="false">Coding assistant</button><button type="button" aria-pressed="false">Research &amp; analysis</button><button type="button" aria-pressed="false">Writing &amp; support</button></div><div class="ModelMarket_workload__nUedo"><div><h3>Make the numbers yours <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></h3><p>Standard text API estimate. Include reasoning tokens in output.</p></div><label>Input tokens / call<input type="number" min="0" max="1000000" value="10000"/></label><label>Output tokens / call<input type="number" min="0" max="1000000" value="2000"/></label><label>Calls / month<input type="number" min="0" max="10000000" value="1000"/></label><label class="ModelMarket_weight__4oBrS">Value: capability <!-- -->70<!-- -->% / cost <!-- -->30<!-- -->%<input aria-label="Cost weight in Practical Value" type="range" min="0" max="100" step="5" value="30"/></label></div><p class="ModelMarket_finePrint__yvbT9">A scenario estimate, not a measured task bill. Excludes cache discounts, tool fees, retries and provider premiums. <!-- -->Workloads exceeding a catalog context limit receive no cost or Value rating. Advertised context is not a guarantee of retrieval quality.</p><div class="ModelMarket_charts__aDzAH"><article class="ModelMarket_chartCard__zDZ5K"><div class="ModelMarket_cardHeading__FTj0s"><div><span class="ModelMarket_kicker__eG1LY">THE MARKET MAP</span><h3>Capability meets cost.</h3></div><label class="ModelMarket_chartSelect__hOAsU"><span class="ModelMarket_srOnly__s2vz3">Chart rating</span><select><option value="fit" selected="">Agent Fit</option><option value="value">Practical Value</option><option value="livebench">LiveBench</option><option value="consensus">Evidence Consensus</option></select></label></div><div><div class="ModelMarket_chartLegend__qUoJx"><span><i style="background:#b9f2ff;border:1px solid #007da3"></i>Sweet-spot zone</span><span><i style="background:#185cda"></i>Efficient frontier</span><span>Tap a dot to inspect</span></div><div class="ModelMarket_plotWrap__mcw8s"><svg viewBox="0 0 800 395" class="ModelMarket_scatter__XV_uG ModelMarket_desktopPlot__MYuCG" role="group" aria-label="Agent Fit versus workload cost. Shaded sweet spot: top-quarter scores and lower
7-half costs in this view."><rect x="58" y="42" width="724" height="298" rx="8" fill="#f7faff"></rect><rect x="58" y="42" width="423.62" height="74.021" fill="#b9f2ff" stroke="#007da3" stroke-width="1.5" stroke-dasharray="5 4"></rect><rect x="481.62" y="42" width="300.38" height="74.021" fill="#e9e8ff" fill-opacity=".65"></rect><text x="68" y="61" class="ModelMarket_zoneLabel__obhaw">SWEET SPOT</text><text x="770" y="61" text-anchor="end" class="ModelMarket_zoneSecondary__U5d2Z">CAPABILITY FIRST</text><g><line x1="58" x2="782" y1="340" y2="340" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="48" y="344" text-anchor="end">0</text></g><g><line x1="58" x2="782" y1="280.4" y2="280.4" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="48" y="284.4" text-anchor="end">20</text></g><g><line x1="58" x2="782" y1="220.8" y2="220.8" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="48" y="224.8" text-anchor="end">40</text></g><g><line x1="58" x2="782" y1="161.2" y2="161.2" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="48" y="165.2" text-anchor="end">60</text></g><g><line x1="58" x2="782" y1="101.6" y2="101.6" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="48" y="105.6" text-anchor="end">80</text></g><g><line x1="58" x2="782" y1="42" y2="42" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="48" y="46" text-anchor="end">100</text></g><g><line x1="58" x2="58" y1="42" y2="340" stroke="#dce6f3"></line><text x="58" y="362" text-anchor="middle">$0.1</text></g><g><line x1="239" x2="239" y1="42" y2="340" stroke="#dce6f3"></line><text x="239" y="362" text-anchor="middle">$1</text></g><g><line x1="420" x2="420" y1="42" y2="340" stroke="#dce6f3"></line><text x="420" y="362" text-anchor="middle">$10</text></g><g><line x1="601" x2="601" y1="42" y2="340" stroke="#dce6f3"></line><text x="601" y="362" text-anchor="middle">$100</text></g><g><line x1="782" x2="782" y1="42" y2="340" stroke="#dce6f3"></line><text x="782" y="362" 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cx="415.136" cy="150.006" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GLM-5.3: 73.7 Agent Fit, $22.8" class="ModelMarket_chartPoint__Z2sWp"><circle cx="484.786" cy="120.433" r="10" fill="transparent"></circle><circle cx="484.786" cy="120.433" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Grok 4.6: 75.3 Agent Fit, $32" class="ModelMarket_chartPoint__Z2sWp">
7<circle cx="511.432" cy="115.667" r="10" fill="transparent"></circle><circle cx="511.432" cy="115.667" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Kimi K2.7 Code: 64.8 Agent Fit, $13.41" class="ModelMarket_chartPoint__Z2sWp"><circle cx="443.076" cy="146.774" r="10" fill="transparent"></circle><circle cx="443.076" cy="146.774" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Inkling: 68.9 Agent Fit, $17.6" class="ModelMarket_chartPoint__Z2sWp"><circle cx="464.438" cy="134.603" r="10" fill="transparent"></circle><circle cx="464.438" cy="134.603" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.5 Flash-Lite: 59.5 Agent Fit, $8" class="ModelMarket_chartPoint__Z2sWp"><circle cx="402.459" cy="162.658" r="10" fill="transparent"></circle><circle cx="402.459" cy="162.658" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-6.1 Sol: 77.7 Agent Fit, $40" class="ModelMarket_chartPoint__Z2sWp"><circle cx="528.973" cy="108.535" r="10" fill="transparent"></circle><circle cx="528.973" cy="108.535" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Grok 4.7: 73.7 Agent Fit, $32" class="ModelMarket_chartPoint__Z2sWp"><circle cx="511.432" cy="120.49" r="10" fill="transparent"></circle><circle cx="511.432" cy="120.49" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Qwen3.6 27B: 60.0 Agent Fit, $9.6" class="ModelMarket_chartPoint__Z2sWp"><circle cx="416.791" cy="161.22" r="10" fill="transparent"></circle><circle cx="416.791" cy="161.22" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Grok 4.5: 73.1 Agent Fit, $32" class="ModelMarket_chartPoint__Z2sWp"><circle cx="511.432" cy="122.039" r="10" fill="transparent"></circle><circle cx="511.432" cy="122.039" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Qwen3.7 Max: 70.4 Agent Fit, $23.6" class="ModelMarket_chartPoint__Z2sWp"><circle cx="487.497" cy="130.153" r="10" fill="transparent"></circle><circle cx="487.497" cy="130.153" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-6 Sol: 74.7 Agent Fit, $40" class="ModelMarket_chartPoint__Z2sWp"><circle cx="528.973" cy="117.481" r="10" fill="transparent"></circle><circle cx="528.973" cy="117.481" r="7" fill="#7c3aed" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Sonnet 5: 73.3 Agent Fit, $40" class="ModelMarket_chartPoint__Z2sWp"><circle cx="528.973" cy="121.625" r="10" fill="transparent"></circle><circle cx="528.973" cy="121.625" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.4 mini: 62.5 Agent Fit, $16.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="459.365" cy="153.864" r="10" fill="transparent"></circle><circle cx="459.365" cy="153.864" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.5 Flash: 70.8 Agent Fit, $33" class="ModelMarket_chartPoint__Z2sWp"><circle cx="513.851" cy="128.878" r="10" fill="transparent"></circle><circle cx="513.851" cy="128.878" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Kimi K3: 77.4 Agent Fit, $54" class="ModelMarket_chartPoint__Z2sWp"><circle cx="552.563" cy="109.254" r="10" fill="transparent"></circle><circle cx="552.563" cy="109.254" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.6 Terra: 74.1 Agent Fit, $44" class="ModelMarket_chartPoint__Z2sWp"><circle cx="536.465" cy="119.316" r="10" fill="transparent"></circle><circle cx="536.465" cy="119.316" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 5.5: 79.4 Agent Fit, $80" class="ModelMarket_chartPoint__Z2sWp"><circle cx="583.459" cy="103.402" r="10" fill="transparent"></circle><circle cx="583.459" cy="103.402" r="7" fill="#185cda" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Sonnet 5.5: 71.0 Agent Fit, $40" class="ModelMarket_chartPoint__Z2sWp"><circle cx="528.973" cy="128.391" r="10" fill="transparent"></circle><circle cx="528.973" cy="128.391" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.1 Pro Preview: 73.2 Agent Fit, $44" class="ModelMarket_chartPoint__Z2sWp"><circle cx="536.465" cy="121.771" r="10" fill="transparent"></circle><circle cx="536.465" cy="121.771" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.6 Sol: 77.1 Agent Fit, $80" class="ModelMarket_chartPoint__Z2sWp"><circle cx="583.459" cy="110.331" r="10" fill="transparent"></circle><circle cx="583.459" cy="110.331" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.4: 74.4 Agent Fit, $55" class="ModelMarket_chartPoint__Z2sWp"><circle cx="554.006" cy="118.265" r="10" fill="transparent"></circle><circle cx="554.006" cy="118.265" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.2 Codex: 69.9 Agent Fit, $45.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="539.1" cy="131.709" r="10" fill="transparent"></circle><circle cx="539.1" cy="131.709" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.2: 69.8 Agent Fit, $45.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="539.1" cy="132.031" r="10" fill="transparent"></circle><circle cx="539.1" cy="132.031" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Grok 4.3: 56.0 Agent Fit, $17.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="463.99" cy="173.119" r="10" fill="transparent"></circle><circle cx="463.99" cy="173.119" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Fable 5.1: 79.6 Agent Fit, $200" class="ModelMarket_chartPoint__Z2sWp"><circle cx="655.486" cy="102.656" r="10" fill="transparent"></circle><circle cx="655.486" cy="102.656" r="5" fill="#185cda" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 5: 75.7 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="601" cy="114.496" r="10" fill="transparent"></circle><circle cx="601" cy="114.496" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Fable 5: 79.0 Agent Fit, $200" class="ModelMarket_chartPoint__Z2sWp"><circle cx="655.486" cy="104.72" r="10" fill="transparent"></circle><circle cx="655.486" cy="104.72" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-6 Astra: 78.6 Agent Fit, $200" class="ModelMarket_chartPoint__Z2sWp"><circle cx="655.486" cy="105.661" r="10" fill="transparent"></circle><circle cx="655.486" cy="105.661" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.5: 75.8 Agent Fit, $110" class="ModelMarket_chartPoint__Z2sWp"><circle cx="608.492" cy="114.033" r="10" fill="transparent"></circle><circle cx="608.492" cy="114.033" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Sonnet 4.6: 69.4 Agent Fit, $60" class="ModelMarket_chartPoint__Z2sWp"><circle cx="560.845" cy="133.247" r="10" fill="transparent"></circle><circle cx="560.845" cy="133.247" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 4.8: 73.0 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="601" cy="122.595" r="10" fill="transparent"></circle><circle cx="601" cy="122.595" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 4.7: 72.9 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="601" cy="122.693" r="10" fill="transparent"></circle><circle cx="601" cy="122.693" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 4.6: 70.5 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="601" cy="129.82" r="10" fill="transparent"></circle><circle cx="601" cy="129.82" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 4.5: 66.7 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="601" cy="141.134" r="10" fill="transparent"></circle><circle cx="601" cy="141.134" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect DeepSeek V4 Flash Vision Exp: 75.1 Agent Fit, $3.45" class="ModelMarket_chartPoint__Z2sWp"><circle cx="336.336" cy="116.139" r="10" fill="transparent"></circle><circle cx="336.336" cy="116.139" r="10" fill="#185cda" stroke="white" stroke-width="2"></circle><text x="336.336" y="120.139" text-anchor="middle" class="ModelMarket_pointNumber__a_X0i">3</text></g><g role="button" tabindex="0" aria-label="Inspect Muse Spark 1.3: 79.3 Agent Fit, $21" class="ModelMarket_chartPoint__Z2sWp"><circle cx="478.322" cy="103.816" r="10" fill="transparent"></circle><circle cx="478.322" cy="103.816" r="10" fill="#185cda" stroke="white" stroke-width="2"></circle><text x="478.322" y="107.816" text-anchor="middle" class="ModelMarket_pointNumber__a_X0i">2</text></g><g role="button" tabindex="0" aria-label="Inspect DeepSeek V4.1 Flash: 78.9 Agent Fit, $5.4" class="ModelMarket_chartPoint__Z2sWp"><circle cx="371.563" cy="104.99" r="10" fill="transparent"></circle><circle cx="371.563" cy="104.99" r="10" fill="#185cda" stroke="white" stroke-width="2"></circle><text x="371.563" y="108.99" text-anchor="middle" class="ModelMarket_pointNumber__a_X0i">1</text></g><circle cx="371.563" cy="104.99" r="15" fill="none" stroke="#0c254b" stroke-width="1.5" pointer-events="none"></circle></svg><svg viewBox="0 0 400 347" class="ModelMarket_scatter__XV_uG ModelMarket_mobilePlot__1MI49" role="group" aria-label="Agent Fit versus workload cost. Shaded sweet spot: top-quarter scores and lower
7-half costs in this view."><rect x="42" y="42" width="340" height="250" rx="8" fill="#f7faff"></rect><rect x="42" y="42" width="198.938" height="62.098" fill="#b9f2ff" stroke="#007da3" stroke-width="1.5" stroke-dasharray="5 4"></rect><rect x="240.938" y="42" width="141.062" height="62.098" fill="#e9e8ff" fill-opacity=".65"></rect><text x="52" y="61" class="ModelMarket_zoneLabel__obhaw">SWEET SPOT</text><g><line x1="42" x2="382" y1="292" y2="292" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="32" y="296" text-anchor="end">0</text></g><g><line x1="42" x2="382" y1="242" y2="242" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="32" y="246" text-anchor="end">20</text></g><g><line x1="42" x2="382" y1="192" y2="192" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="32" y="196" text-anchor="end">40</text></g><g><line x1="42" x2="382" y1="142" y2="142" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="32" y="146" text-anchor="end">60</text></g><g><line x1="42" x2="382" y1="92" y2="92" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="32" y="96" text-anchor="end">80</text></g><g><line x1="42" x2="382" y1="42" y2="42" stroke="#cddbed" stroke-dasharray="3 5"></line><text x="32" y="46" text-anchor="end">100</text></g><g><line x1="42" x2="42" y1="42" y2="292" stroke="#dce6f3"></line><text x="42" y="314" text-anchor="middle">$0.1</text></g><g><line x1="127" x2="127" y1="42" y2="292" stroke="#dce6f3"></line><text x="127" y="314" text-anchor="middle">$1</text></g><g><line x1="212" x2="212" y1="42" y2="292" stroke="#dce6f3"></line><text x="212" y="314" text-anchor="middle">$10</text></g><g><line x1="297" x2="297" y1="42" y2="292" stroke="#dce6f3"></line><text x="297" y="314" text-anchor="middle">$100</text></g><g><line x1="382" x2="382" y1="42" y2="292" stroke="#dce6f3"></line><text x="382" y="314" text-anchor="end">$1,000</text></g><text x="42" y="19" class="ModelMarket_axisTitle__CraNJ">Agent Fit<!-- --> / 100 ↑</text><text x="212" y="340" text-anchor="middle" class="ModelMarket_axisTitle__CraNJ">← Lower cost · USD · log scale</text><polyline points="92.429,137.974 152.588,122.858 162.794,114.198 172.71,104.197 189.253,94.844 239.389,93.859 288.763,93.512 322.588,92.886" fill="none" stroke="#185cda" stroke-width="2" stroke-dasharray="5 4"></polyline><g role="button" tabindex="0" aria-label="Inspect DeepSeek V4 Flash 0731: 71.1 Agent Fit, $2.64" class="ModelMarket_chartPoint__Z2sWp"><circle cx="162.794" cy="114.198" r="12" fill="transparent"></circle><circle cx="162.794" cy="114.198" r="5" fill="#185cda" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-6 Luna: 67.7 Agent Fit, $2" class="ModelMarket_chartPoint__Z2sWp"><circle cx="152.588" cy="122.858" r="12" fill="transparent"></circle><circle cx="152.588" cy="122.858" r="5" fill="#185cda" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.6 Luna: 70.4 Agent Fit, $4.4" class="ModelMarket_chartPoint__Z2sWp"><circle cx="181.693" cy="115.983" r="12" fill="transparent"></circle><circle cx="181.693" cy="115.983" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GLM-5.3 Flash: 67.2 Agent Fit, $2.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="160.825" cy="123.982" r="12" fill="transparent"></circle><circle cx="160.825" cy="123.982" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect DeepSeek V4 Pro: 67.1 Agent Fit, $2.92" class="ModelMarket_chartPoint__Z2sWp"><circle cx="166.598" cy="124.249" r="12" fill="transparent"></circle><circle cx="166.598" cy="124.249" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.4 nano: 67.7 Agent Fit, $4.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="182.523" cy="122.715" r="12" fill="transparent"></circle><circle cx="182.523" cy="122.715" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Qwen3.8 27B: 73.5 Agent Fit, $10.2" class="ModelMarket_chartPoint__Z2sWp"><circle cx="212.731" cy="108.243" r="12" fill="transparent"></circle><circle cx="212.731" cy="108.243" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect DeepSeek V4 Flash: 61.6 Agent Fit, $0.392" class="ModelMarket_chartPoint__Z2sWp"><circle cx="92.429" cy="137.974" r="12" fill="transparent"></circle><circle cx="92.429" cy="137.974" r="5" fill="#185cda" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect DeepSeek V4 Pro 0813: 73.3 Agent Fit, $10.56" class="ModelMarket_chartPoint__Z2sWp"><circle cx="214.011" cy="108.826" r="12" fill="transparent"></circle><circle cx="214.011" cy="108.826" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.7 Flash: 76.1 Agent Fit, $15" class="ModelMarket_chartPoint__Z2sWp"><circle cx="226.968" cy="101.848" r="12" fill="transparent"></circle><circle cx="226.968" cy="101.848" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Kimi K2.6: 66.9 Agent Fit, $8" class="ModelMarket_chartPoint__Z2sWp"><circle cx="203.751" cy="124.718" r="12" fill="transparent"></circle><circle cx="203.751" cy="124.718" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.8 Flash: 73.3 Agent Fit, $15" class="ModelMarket_chartPoint__Z2sWp"><circle cx="226.968" cy="108.652" r="12" fill="transparent"></circle><circle cx="226.968" cy="108.652" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect MiniMax M3: 63.1 Agent Fit, $5.4" class="ModelMarket_chartPoint__Z2sWp"><circle cx="189.253" cy="134.256" r="12" fill="transparent"></circle><circle cx="189.253" cy="134.256" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Qwen3.6 Plus: 63.9 Agent Fit, $7.15" class="ModelMarket_chartPoint__Z2sWp"><circle cx="199.616" cy="132.221" r="12" fill="transparent"></circle><circle cx="199.616" cy="132.221" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Muse Spark 1.2: 76.3 Agent Fit, $21" class="ModelMarket_chartPoint__Z2sWp"><circle cx="239.389" cy="101.198" r="12" fill="transparent"></circle><circle cx="239.389" cy="101.198" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GLM-5.2: 68.5 Agent Fit, $12.08" class="ModelMarket_chartPoint__Z2sWp"><circle cx="218.976" cy="120.649" r="12" fill="transparent"></circle><circle cx="218.976" cy="120.649" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.6 Flash: 70.3 Agent Fit, $15" class="ModelMarket_chartPoint__Z2sWp"><circle cx="226.968" cy="116.226" r="12" fill="transparent"></circle><circle cx="226.968" cy="116.226" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Muse Spark 1.1: 74.0 Agent Fit, $21" class="ModelMarket_chartPoint__Z2sWp"><circle cx="239.389" cy="106.916" r="12" fill="transparent"></circle><circle cx="239.389" cy="106.916" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Nemotron 3 Ultra: 63.8 Agent Fit, $9.4" class="ModelMarket_chartPoint__Z2sWp"><circle cx="209.716" cy="132.609" r="12" fill="transparent"></circle><circle cx="209.716" cy="132.609" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GLM-5.3: 73.7 Agent Fit, $22.8" class="ModelMarket_chartPoint__Z2sWp"><circle cx="242.424" cy="107.799" r="12" fill="transparent"></circle><circle cx="242.424" cy="107.799" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Grok 4.6: 75.3 Agent Fit, $32" class="ModelMarket_chartPoint__Z2sWp"><circle cx="254.938" cy="103.801" r="12" fill="transparent"></circle><circle cx="254.938" cy="103.801" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Kimi K2.7 Code: 64.8 Agent Fit, $13.41" class="ModelMarket_chartPoint__Z2sWp"><circle cx="222.837" cy="129.897" r="12" fill="transparent"></circle><circle cx="222.837" cy="129.897" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Inkling: 68.9 Agent Fit, $17.6" class="ModelMarket_chartPoint__Z2sWp"><circle cx="232.869" cy="119.687" r="12" fill="transparent"></circle><circle cx="232.869" cy="119.687" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.5 Flash-Lite: 59.5 Agent Fit, $8" class="ModelMarket_chartPoint__Z2sWp"><circle cx="203.763" cy="143.223" r="12" fill="transparent"></circle><circle cx="203.763" cy="143.223" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-6.1 Sol: 77.7 Agent Fit, $40" class="ModelMarket_chartPoint__Z2sWp"><circle cx="263.175" cy="97.818" r="12" fill="transparent"></circle><circle cx="263.175" cy="97.818" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Grok 4.7: 73.7 Agent Fit, $32" class="ModelMarket_chartPoint__Z2sWp"><circle cx="254.938" cy="107.847" r="12" fill="transparent"></circle><circle cx="254.938" cy="107.847" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Qwen3.6 27B: 60.0 Agent Fit, $9.6" class="ModelMarket_chartPoint__Z2sWp"><circle cx="210.493" cy="142.016" r="12" fill="transparent"></circle><circle cx="210.493" cy="142.016" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Grok 4.5: 73.1 Agent Fit, $32" class="ModelMarket_chartPoint__Z2sWp"><circle cx="254.938" cy="109.147" r="12" fill="transparent"></circle><circle cx="254.938" cy="109.147" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Qwen3.7 Max: 70.4 Agent Fit, $23.6" class="ModelMarket_chartPoint__Z2sWp"><circle cx="243.698" cy="115.954" r="12" fill="transparent"></circle><circle cx="243.698" cy="115.954" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-6 Sol: 74.7 Agent Fit, $40" class="ModelMarket_chartPoint__Z2sWp"><circle cx="263.175" cy="105.323" r="12" fill="transparent"></circle><circle cx="263.175" cy="105.323" r="7" fill="#7c3aed" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Sonnet 5: 73.3 Agent Fit, $40" class="ModelMarket_chartPoint__Z2sWp"><circle cx="263.175" cy="108.799" r="12" fill="transparent"></circle><circle cx="263.175" cy="108.799" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.4 mini: 62.5 Agent Fit, $16.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="230.486" cy="135.846" r="12" fill="transparent"></circle><circle cx="230.486" cy="135.846" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.5 Flash: 70.8 Agent Fit, $33" class="ModelMarket_chartPoint__Z2sWp"><circle cx="256.074" cy="114.884" r="12" fill="transparent"></circle><circle cx="256.074" cy="114.884" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Kimi K3: 77.4 Agent Fit, $54" class="ModelMarket_chartPoint__Z2sWp"><circle cx="274.253" cy="98.421" r="12" fill="transparent"></circle><circle cx="274.253" cy="98.421" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.6 Terra: 74.1 Agent Fit, $44" class="ModelMarket_chartPoint__Z2sWp"><circle cx="266.693" cy="106.863" r="12" fill="transparent"></circle><circle cx="266.693" cy="106.863" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 5.5: 79.4 Agent Fit, $80" class="ModelMarket_chartPoint__Z2sWp"><circle cx="288.763" cy="93.512" r="12" fill="transparent"></circle><circle cx="288.763" cy="93.512" r="7" fill="#185cda" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Sonnet 5.5: 71.0 Agent Fit, $40" class="ModelMarket_chartPoint__Z2sWp"><circle cx="263.175" cy="114.476" r="12" fill="transparent"></circle><circle cx="263.175" cy="114.476" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Gemini 3.1 Pro Preview: 73.2 Agent Fit, $44" class="ModelMarket_chartPoint__Z2sWp"><circle cx="266.693" cy="108.922" r="12" fill="transparent"></circle><circle cx="266.693" cy="108.922" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.6 Sol: 77.1 Agent Fit, $80" class="ModelMarket_chartPoint__Z2sWp"><circle cx="288.763" cy="99.324" r="12" fill="transparent"></circle><circle cx="288.763" cy="99.324" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.4: 74.4 Agent Fit, $55" class="ModelMarket_chartPoint__Z2sWp"><circle cx="274.931" cy="105.981" r="12" fill="transparent"></circle><circle cx="274.931" cy="105.981" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.2 Codex: 69.9 Agent Fit, $45.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="267.931" cy="117.259" r="12" fill="transparent"></circle><circle cx="267.931" cy="117.259" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.2: 69.8 Agent Fit, $45.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="267.931" cy="117.529" r="12" fill="transparent"></circle><circle cx="267.931" cy="117.529" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Grok 4.3: 56.0 Agent Fit, $17.5" class="ModelMarket_chartPoint__Z2sWp"><circle cx="232.658" cy="151.999" r="12" fill="transparent"></circle><circle cx="232.658" cy="151.999" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Fable 5.1: 79.6 Agent Fit, $200" class="ModelMarket_chartPoint__Z2sWp"><circle cx="322.588" cy="92.886" r="12" fill="transparent"></circle><circle cx="322.588" cy="92.886" r="5" fill="#185cda" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 5: 75.7 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="297" cy="102.819" r="12" fill="transparent"></circle><circle cx="297" cy="102.819" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Fable 5: 79.0 Agent Fit, $200" class="ModelMarket_chartPoint__Z2sWp"><circle cx="322.588" cy="94.617" r="12" fill="transparent"></circle><circle cx="322.588" cy="94.617" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-6 Astra: 78.6 Agent Fit, $200" class="ModelMarket_chartPoint__Z2sWp"><circle cx="322.588" cy="95.407" r="12" fill="transparent"></circle><circle cx="322.588" cy="95.407" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect GPT-5.5: 75.8 Agent Fit, $110" class="ModelMarket_chartPoint__Z2sWp">
7<circle cx="300.518" cy="102.431" r="12" fill="transparent"></circle><circle cx="300.518" cy="102.431" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Sonnet 4.6: 69.4 Agent Fit, $60" class="ModelMarket_chartPoint__Z2sWp"><circle cx="278.143" cy="118.549" r="12" fill="transparent"></circle><circle cx="278.143" cy="118.549" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 4.8: 73.0 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="297" cy="109.613" r="12" fill="transparent"></circle><circle cx="297" cy="109.613" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 4.7: 72.9 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="297" cy="109.696" r="12" fill="transparent"></circle><circle cx="297" cy="109.696" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 4.6: 70.5 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="297" cy="115.674" r="12" fill="transparent"></circle><circle cx="297" cy="115.674" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect Claude Opus 4.5: 66.7 Agent Fit, $100" class="ModelMarket_chartPoint__Z2sWp"><circle cx="297" cy="125.166" r="12" fill="transparent"></circle><circle cx="297" cy="125.166" r="5" fill="#879bb8" stroke="white" stroke-width="2"></circle></g><g role="button" tabindex="0" aria-label="Inspect DeepSeek V4 Flash Vision Exp: 75.1 Agent Fit, $3.45" class="ModelMarket_chartPoint__Z2sWp"><circle cx="172.71" cy="104.197" r="12" fill="transparent"></circle><circle cx="172.71" cy="104.197" r="10" fill="#185cda" stroke="white" stroke-width="2"></circle><text x="172.71" y="108.197" text-anchor="middle" class="ModelMarket_pointNumber__a_X0i">3</text></g><g role="button" tabindex="0" aria-label="Inspect Muse Spark 1.3: 79.3 Agent Fit, $21" class="ModelMarket_chartPoint__Z2sWp"><circle cx="239.389" cy="93.859" r="12" fill="transparent"></circle><circle cx="239.389" cy="93.859" r="10" fill="#185cda" stroke="white" stroke-width="2"></circle><text x="239.389" y="97.859" text-anchor="middle" class="ModelMarket_pointNumber__a_X0i">2</text></g><g role="button" tabindex="0" aria-label="Inspect DeepSeek V4.1 Flash: 78.9 Agent Fit, $5.4" class="ModelMarket_chartPoint__Z2sWp"><circle cx="189.253" cy="94.844" r="12" fill="transparent"></circle><circle cx="189.253" cy="94.844" r="10" fill="#185cda" stroke="white" stroke-width="2"></circle><text x="189.253" y="98.844" text-anchor="middle" class="ModelMarket_pointNumber__a_X0i">1</text></g><circle cx="189.253" cy="94.844" r="15" fill="none" stroke="#0c254b" stroke-width="1.5" pointer-events="none"></circle></svg></div><div class="ModelMarket_chartReadout__N0vaH" aria-live="polite"><div><span>INSPECTING</span><a href="/ai-models/deepseek-v4-1-flash">DeepSeek V4.1 Flash<!-- --> ↗</a></div><strong>78.9<small>Agent Fit</small></strong><strong>$5.4<small>your workload</small></strong><button type="button" aria-pressed="true">✓ In comparison</button></div><div class="ModelMarket_sweetPicks___zeSF"><div class="ModelMarket_sweetHeading___dbxL"><div><span class="ModelMarket_kicker__eG1LY">YOUR FAST SHORTLIST</span><h4>Closest to the sweet spot</h4></div><a href="/ai-models/methodology#sweet-spot">How we choose ↗</a></div><ol><li><span class="ModelMarket_pickNumber__Jz1B8">1</span><div><a href="/ai-models/deepseek-v4-1-flash">DeepSeek V4.1 Flash<!-- --> ↗</a><span>78.9<!-- --> <!-- -->Agent Fit<!-- --> <b>· <!-- -->$5.4</b></span></div><button type="button" aria-label="Remove DeepSeek V4.1 Flash from comparison" aria-pressed="true">✓</button></li><li><span class="ModelMarket_pickNumber__Jz1B8">2</span><div><a href="/ai-models/muse-spark-1-3">Muse Spark 1.3<!-- --> ↗</a><span>79.3<!-- --> <!-- -->Agent Fit<!-- --> <b>· <!-- -->$21</b></span></div><button type="button" aria-label="Add Muse Spark 1.3 to comparison" aria-pressed="false">+</button></li><li><span class="ModelMarket_pickNumber__Jz1B8">3</span><div><a href="/ai-models/deepseek-v4-flash-vision-exp">DeepSeek V4 Flash Vision Exp<!-- --> ↗</a><span>75.1<!-- --> <!-- -->Agent Fit<!-- --> <b>· <!-- -->$3.45</b></span></div><button type="button" aria-label="Add DeepSeek V4 Flash Vision Exp to comparison" aria-pressed="false">+</button></li></ol><p>
7Shaded zone: 75.2+ points and $21.9 or less. <!-- -->Numbers mark efficient models in or nearest this zone. This shortlist changes with the metric, workload and filters.</p></div></div></article><article class="ModelMarket_darkCard__dlPHe"><span class="ModelMarket_kicker__eG1LY">AI AGENT STORE ORIGINAL</span><h3>More capability.<br/>Less budget.</h3><p class="ModelMarket_darkIntro__EF7w7">Practical Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span> · <!-- -->General agent</p><div class="ModelMarket_scoreBars__brB__"><div class="ModelMarket_barRow__4hQwt"><div><span class="ModelMarket_barRank__WkCaI">0<!-- -->1</span><a href="/ai-models/deepseek-v4-1-flash">DeepSeek V4.1 Flash</a><strong>80.6</strong></div><div class="ModelMarket_barTrack__eAIfy"><span style="width:80.56721136363636%;background:#73e7ff"></span></div></div><div class="ModelMarket_barRow__4hQwt"><div><span class="ModelMarket_barRank__WkCaI">0<!-- -->2</span><a href="/ai-models/deepseek-v4-flash-vision-exp">DeepSeek V4 Flash Vision Exp</a><strong>79.9</strong></div><div class="ModelMarket_barTrack__eAIfy"><span style="width:79.85757077272727%;background:#68a4ff"></span></div></div><div class="ModelMarket_barRow__4hQwt"><div><span class="ModelMarket_barRank__WkCaI">0<!-- -->3</span><a href="/ai-models/deepseek-v4-flash-0731">DeepSeek V4 Flash 0731</a><strong>78.1</strong></div><div class="ModelMarket_barTrack__eAIfy"><span style="width:78.14808086363635%;background:#68a4ff"></span></div></div><div class="ModelMarket_barRow__4hQwt"><div><span class="ModelMarket_barRank__WkCaI">0<!-- -->4</span><a href="/ai-models/gpt-6-luna">GPT-6 Luna</a><strong>76.8</strong></div><div class="ModelMarket_barTrack__eAIfy"><span style="width:76.81440345454546%;background:#68a4ff"></span></div></div><div class="ModelMarket_barRow__4hQwt"><div><span class="ModelMarket_barRank__WkCaI">0<!-- -->5</span><a href="/ai-models/gpt-5-6-luna">GPT-5.6 Luna</a><strong>76.0</strong></div><div class="ModelMarket_barTrack__eAIfy"><span style="width:76.01207822727272%;background:#68a4ff"></span></div></div><div class="ModelMarket_barRow__4hQwt"><div><span class="ModelMarket_barRank__WkCaI">0<!-- -->6</span><a href="/ai-models/glm-5-3-flash">GLM-5.3 Flash</a><strong>76.0</strong></div><div class="ModelMarket_barTrack__eAIfy"><span style="width:75.95409590909091%;background:#68a4ff"></span></div></div><p>70% Agent Fit + 30% affordability. Rankings use your workload; filters do not change the reference cohort.</p></div></article></div></section><section id="leaderboard" class="ModelMarket_leaderboard__P7l5x"><div class="ModelMarket_sectionHeading__rpRX6"><div><p class="ModelMarket_eyebrow__dHiN1">THE EVIDENCE, SIDE BY SIDE</p><h2>AI model comparison table</h2></div><div class="ModelMarket_buttonRow__XC198"><button type="button">Share comparison ↗</button><button type="button">Download CSV ↓</button></div></div><div class="ModelMarket_filters__1Tsr9"><label class="ModelMarket_search__a_jap"><span class="ModelMarket_srOnly__s2vz3">Search models</span><input type="search" placeholder="Search models or providers…" value=""/></label><label><span class="ModelMarket_srOnly__s2vz3">Provider</span><select><option value="" selected="">All providers</option><option>Alibaba</option><option>Anthropic</option><option>DeepSeek</option><option>Google</option><option>Meta</option><option>MiniMax</option><option>Moonshot AI</option><option>NVIDIA</option><option>OpenAI</option><option>Thinking Machines</option><option>Z.ai</option><option>xAI</option></select></label><label><span class="ModelMarket_srOnly__s2vz3">Model weights</span><select><option value="" selected="">All access types</option><option value="open">Open weights</option><option value="closed">Proprietary</option></select></label><label><span class="ModelMarket_srOnly__s2vz3">Minimum context</span><select><option value="0" selected="">Any context</option><option value="128000">128K+ context</option><option value="256000">256K+ context</option><option value="1000000">1M+ context</option></select></label><label class="ModelMarket_checkLabel__wLRGL"><input type="checkbox"/>Tool calling<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Tool calling" aria-expanded="false">?</button></span></label>
7<button type="button" class="ModelMarket_reset__dFxa0">Reset</button></div><div class="ModelMarket_tableMeta__gPrAs"><span aria-live="polite">58<!-- --> of <!-- -->58<!-- --> models · select up to 4 to compare</span><span>Prices in USD · tap <b>?</b> for instant explanations</span></div><div class="ModelMarket_mobileViewToggle__FF12P" role="group" aria-label="Mobile leaderboard display"><button type="button" aria-pressed="true">Model cards</button><button type="button" aria-pressed="false">Full data table</button></div><div class="ModelMarket_mobileCards__T6QsJ "><div class="ModelMarket_mobileSort__ssROi"><label>Sort models<select><option value="fit">Agent Fit</option><option value="value" selected="">Practical Value</option><option value="cost">Workload cost</option><option value="livebench">LiveBench</option><option value="consensus">Evidence Consensus</option><option value="context">Context</option><option value="name">Model name</option></select></label><button type="button" aria-label="Reverse model sort order">High → low<!-- --> ↕</button></div><article class="ModelMarket_mobileModelCard__fvbNB ModelMarket_mobileModelSelected__z7PgF"><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">01</span><div><a href="/ai-models/deepseek-v4-1-flash">DeepSeek V4.1 Flash<!-- --> ↗</a><p>DeepSeek<!-- --> · <!-- -->max</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>78.9</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>80.6</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$5.4</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Open weights</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>81.1</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.3 / $1.2</dd></div><div><dt>Price observation</dt><dd>OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="true">✓ Added to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">02</span><div><a href="/ai-models/deepseek-v4-flash-vision-exp">DeepSeek V4 Flash Vision Exp<!-- --> ↗</a><p>DeepSeek<!-- --> · <!-- -->experimental · source default</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>75.1</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>79.9</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$3.45</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Open weights</span><span>Tool calling</span></div><details><summary>Benchmarks &amp;
7 API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>76.8</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.2156 / $0.6468</dd></div><div><dt>Price observation</dt><dd>OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">03</span><div><a href="/ai-models/deepseek-v4-flash-0731">DeepSeek V4 Flash 0731<!-- --> ↗</a><p>DeepSeek<!-- --> · <!-- -->source default</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>71.1</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>78.1</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$2.64</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Open weights</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>74.2</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.0077 / $1.28</dd></div><div><dt>Price observation</dt><dd>OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">04</span><div><a href="/ai-models/gpt-6-luna">GPT-6 Luna<!-- --> ↗</a><p>OpenAI<!-- --> · <!-- -->max</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>67.7</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>76.8</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$2</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>72.0</dd></div><div><dt>
7Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.1 / $0.5</dd></div><div><dt>Price observation</dt><dd>Direct API</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">05</span><div><a href="/ai-models/gpt-5-6-luna">GPT-5.6 Luna<!-- --> ↗</a><p>OpenAI<!-- --> · <!-- -->source ID max; display xhigh</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>70.4</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>76.0</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$4.4</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>73.6</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.2 / $1.2</dd></div><div><dt>Price observation</dt><dd>Direct API</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">06</span><div><a href="/ai-models/glm-5-3-flash">GLM-5.3 Flash<!-- --> ↗</a><p>Z.ai<!-- --> · <!-- -->source default</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>67.2</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>76.0</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$2.5</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Open weights</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>71.6</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.15 / $0.5</dd></div><div><dt>Price observation</dt><dd>
7OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">07</span><div><a href="/ai-models/deepseek-v4-pro">DeepSeek V4 Pro<!-- --> ↗</a><p>DeepSeek<!-- --> · <!-- -->source default</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>67.1</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>74.8</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$2.92</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Open weights</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>71.6</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.2088 / $0.4176</dd></div><div><dt>Price observation</dt><dd>OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">08</span><div><a href="/ai-models/gpt-5-4-nano">GPT-5.4 nano<!-- --> ↗</a><p>OpenAI<!-- --> · <!-- -->xhigh</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>67.7</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>73.6</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$4.5</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>400K<!-- --> context</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>69.6</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.2 / $1.25</dd></div><div><dt>Price observation</dt><dd>Direct API</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">09</span><div><a href="/ai-models/qwen3-8-27b">Qwen3.8 27B<!-- --> ↗</a><p>Alibaba<!-- --> · <!-- -->source default</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>73.5</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>
773.3</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$10.2</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.00M<!-- --> context</span><span>Open weights</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>75.3</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.42 / $3</dd></div><div><dt>Price observation</dt><dd>OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">10</span><div><a href="/ai-models/deepseek-v4-flash">DeepSeek V4 Flash<!-- --> ↗</a><p>DeepSeek<!-- --> · <!-- -->source default</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>61.6</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>73.1</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$0.392</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Open weights</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>65.5</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.028 / $0.056</dd></div><div><dt>Price observation</dt><dd>OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">11</span><div><a href="/ai-models/deepseek-v4-pro-0813">DeepSeek V4 Pro 0813<!-- --> ↗</a><p>DeepSeek<!-- --> · <!-- -->source default</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>73.3</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>72.6</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$10.56</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Open weights</span><span>Tool calling</span></div><details><summary>Benchmarks &amp;
7 API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>77.4</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>Not enough evidence</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.66 / $1.98</dd></div><div><dt>Price observation</dt><dd>OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><article class="ModelMarket_mobileModelCard__fvbNB "><div class="ModelMarket_mobileModelHeader__ZHALt"><span class="ModelMarket_mobileRank__aV072">12</span><div><a href="/ai-models/gemini-3-7-flash">Gemini 3.7 Flash<!-- --> ↗</a><p>Google<!-- --> · <!-- -->high</p></div></div><div class="ModelMarket_mobileMetrics__i_vqK"><div><span>Agent Fit <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></span><strong>76.1</strong></div><div><span>Value <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></span><strong>72.3</strong></div><div><span>Your cost <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></span><strong>$15</strong></div></div><div class="ModelMarket_mobileFeatures___tpvR"><span>1.05M<!-- --> context</span><span>Tool calling</span></div><details><summary>Benchmarks &amp; API pricing <span>+</span></summary><dl><div><dt>LiveBench <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></dt><dd>78.8</dd></div><div><dt>Evidence Consensus <span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></dt><dd>50.0</dd></div><div><dt>Input / output per 1M tokens</dt><dd>$0.75 / $3.75</dd></div><div><dt>Price observation</dt><dd>OpenRouter catalog</dd></div></dl></details><button type="button" class="ModelMarket_mobileCompare__eypS_" aria-pressed="false">+ Add to comparison</button></article><button class="ModelMarket_showMore__M_5PM" type="button">Show <!-- -->12<!-- --> more models <span>12<!-- --> of <!-- -->58<!-- --> shown</span></button></div><div class="ModelMarket_tableScroll__V6eqE ModelMarket_mobileTableHidden__k_wdc" tabindex="0" aria-label="Model leaderboard, scroll horizontally for all metrics"><table class="ModelMarket_table__DzIah"><caption class="ModelMarket_srOnly__s2vz3">AI model benchmarks, aggregate ratings, API pricing and context windows. Snapshot <!-- -->2026-10-03<!-- -->.</caption><thead><tr><th scope="col"><span class="ModelMarket_srOnly__s2vz3">Compare</span></th><th scope="col" aria-sort="none"><button type="button">Model<span aria-hidden="true"> ↕</span></button></th><th scope="col" aria-sort="none"><button type="button">Agent Fit<span aria-hidden="true"> ↕</span></button><span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></th><th scope="col" aria-sort="descending"><button type="button">Practical Value<span aria-hidden="true"> ↓</span></button><span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></th><th scope="col" aria-sort="none"><button type="button">Consensus<span aria-hidden="true"> ↕</span></button><span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></th><th scope="col" aria-sort="none"><button type="button">LiveBench<span aria-hidden="true"> ↕</span></button><span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain LiveBench" aria-expanded="false">?</button></span></th><th scope="col" aria-sort="none"><button type="button">Arena<span aria-hidden="true"> ↕</span></button><span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Arena preference" aria-expanded="false">?</button></span></th><th scope="col" aria-sort="none"><button type="button">Your cost<span aria-hidden="true"> ↕</span></button><span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></th><th scope="col" aria-sort="none"><button type="button">Context<span aria-hidden="true"> ↕</span></button><span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Context window" aria-expanded="false">?</button></span></th><th scope="col">Input / output<small>USD / 1M tokens</small></th></tr></thead><tbody><tr class="ModelMarket_selectedRow__HHmcJ"><td><input type="checkbox" aria-label="Compare DeepSeek V4.1 Flash" checked=""/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">01</span><div><a href="/ai-models/deepseek-v4-1-flash">DeepSeek V4.1 Flash<!-- --> ↗</a><small>DeepSeek<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">78.9</strong></td><td>80.6</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>81.1</td><td>—</td><td><strong>$5.4</strong></td><td>1.05M</td><td><span>$0.3<!-- --> / <!-- -->$1.2</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare DeepSeek V4 Flash Vision Exp"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">02</span><div><a href="/ai-models/deepseek-v4-flash-vision-exp">DeepSeek V4 Flash Vision Exp<!-- --> ↗</a><small>DeepSeek<!-- --> · <!-- -->experimental · source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span><span>Preview</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">75.1</strong></td><td>79.9</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>76.8</td><td>—</td><td><strong>$3.45</strong></td><td>1.05M</td><td><span>$0.2156<!-- --> / <!-- -->$0.6468</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare DeepSeek V4 Flash 0731"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">03</span><div><a href="/ai-models/deepseek-v4-flash-0731">DeepSeek V4 Flash 0731<!-- --> ↗</a><small>DeepSeek<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">71.1</strong></td><td>78.1</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>74.2</td><td>—</td><td><strong>$2.64</strong></td><td>1.05M</td><td><span>$0.0077<!-- --> / <!-- -->$1.28</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-6 Luna"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">04</span><div><a href="/ai-models/gpt-6-luna">GPT-6 Luna<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">67.7</strong></td><td>76.8</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>72.0</td><td>—</td><td><strong>$2</strong></td><td>1.05M</td><td><span>$0.1<!-- --> / <!-- -->$0.5</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.6 Luna"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">05</span><div><a href="/ai-models/gpt-5-6-luna">GPT-5.6 Luna<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->source ID max; display xhigh</small><span class="ModelMarket_modelBadges__EHk15"><span>Configuration discrepancy</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">70.4</strong></td><td>76.0</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>73.6</td><td>—</td><td><strong>$4.4</strong></td><td>1.05M</td><td><span>$0.2<!-- --> / <!-- -->$1.2</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GLM-5.3 Flash"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">06</span><div><a href="/ai-models/glm-5-3-flash">GLM-5.3 Flash<!-- --> ↗</a><small>Z.ai<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">67.2</strong></td><td>76.0</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>71.6</td><td>—</td><td><strong>$2.5</strong></td><td>1.05M</td><td><span>$0.15<!-- --> / <!-- -->$0.5</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare DeepSeek V4 Pro"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">07</span><div><a href="/ai-models/deepseek-v4-pro">DeepSeek V4 Pro<!-- --> ↗</a><small>DeepSeek<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">67.1</strong></td><td>74.8</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>71.6</td><td>—</td><td><strong>$2.92</strong></td><td>1.05M</td><td><span>$0.2088<!-- --> / <!-- -->$0.4176</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.4 nano"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">08</span><div><a href="/ai-models/gpt-5-4-nano">GPT-5.4 nano<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">67.7</strong></td><td>73.6</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>69.6</td><td>—</td><td><strong>$4.5</strong></td><td>400K</td><td><span>$0.2<!-- --> / <!-- -->$1.25</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Qwen3.8 27B"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">09</span><div><a href="/ai-models/qwen3-8-27b">Qwen3.8 27B<!-- --> ↗</a><small>Alibaba<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.5</strong></td><td>
773.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>75.3</td><td>—</td><td><strong>$10.2</strong></td><td>1.00M</td><td><span>$0.42<!-- --> / <!-- -->$3</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare DeepSeek V4 Flash"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">10</span><div><a href="/ai-models/deepseek-v4-flash">DeepSeek V4 Flash<!-- --> ↗</a><small>DeepSeek<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">61.6</strong></td><td>73.1</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>65.5</td><td>—</td><td><strong>$0.392</strong></td><td>1.05M</td><td><span>$0.028<!-- --> / <!-- -->$0.056</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare DeepSeek V4 Pro 0813"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">11</span><div><a href="/ai-models/deepseek-v4-pro-0813">DeepSeek V4 Pro 0813<!-- --> ↗</a><small>DeepSeek<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.3</strong></td><td>72.6</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>77.4</td><td>—</td><td><strong>$10.56</strong></td><td>1.05M</td><td><span>$0.66<!-- --> / <!-- -->$1.98</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Gemini 3.7 Flash"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">12</span><div><a href="/ai-models/gemini-3-7-flash">Gemini 3.7 Flash<!-- --> ↗</a><small>Google<!-- --> · <!-- -->high</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">76.1</strong></td><td>72.3</td><td><span aria-label="Matched 10-model cohort only">50.0<small>2 sources</small></span></td><td>78.8</td><td><span>1,488<small>±<!-- -->5<!-- --> · preliminary</small></span></td><td><strong>$15</strong></td><td>1.05M</td><td><span>$0.75<!-- --> / <!-- -->$3.75</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Muse Spark 1.3"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">13</span><div><a href="/ai-models/muse-spark-1-3">Muse Spark 1.3<!-- --> ↗</a><small>Meta<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">79.3</strong></td><td>71.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>81.6</td><td>—</td><td><strong>$21</strong></td><td>1.05M</td><td><span>$1.25<!-- --> / <!-- -->$4.25</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Kimi K2.6"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">14</span><div><a href="/ai-models/kimi-k2-6">Kimi K2.6<!-- --> ↗</a><small>Moonshot AI<!-- --> · <!-- -->thinking</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">66.9</strong></td><td>70.8</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>70.5</td><td>—</td><td><strong>$8</strong></td><td>262K</td><td><span>$0.4342<!-- --> / <!-- -->$1.83</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Gemini 3.8 Flash"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">15</span><div><a href="/ai-models/gemini-3-8-flash">Gemini 3.8 Flash<!-- --> ↗</a><small>Google<!-- --> · <!-- -->high</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.3</strong></td><td>70.4</td><td>
7<span aria-label="Matched 10-model cohort only">55.6<small>2 sources</small></span></td><td>75.8</td><td><span>1,495<small>±<!-- -->5<!-- --> · preliminary</small></span></td><td><strong>$15</strong></td><td>1.05M</td><td><span>$0.75<!-- --> / <!-- -->$3.75</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare MiniMax M3"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">16</span><div><a href="/ai-models/minimax-m3">MiniMax M3<!-- --> ↗</a><small>MiniMax<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">63.1</strong></td><td>69.5</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>67.3</td><td>—</td><td><strong>$5.4</strong></td><td>1.05M</td><td><span>$0.3<!-- --> / <!-- -->$1.2</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Qwen3.6 Plus"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">17</span><div><a href="/ai-models/qwen3-6-plus">Qwen3.6 Plus<!-- --> ↗</a><small>Alibaba<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">63.9</strong></td><td>69.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>68.9</td><td>—</td><td><strong>$7.15</strong></td><td>1.00M</td><td><span>$0.325<!-- --> / <!-- -->$1.95</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Muse Spark 1.2"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">18</span><div><a href="/ai-models/muse-spark-1-2">Muse Spark 1.2<!-- --> ↗</a><small>Meta<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">76.3</strong></td><td>69.2</td><td><span aria-label="Matched 10-model cohort only">55.6<small>2 sources</small></span></td><td>78.0</td><td><span>1,494<small>±<!-- -->9</small></span></td><td><strong>$21</strong></td><td>1.05M</td><td><span>$1.25<!-- --> / <!-- -->$4.25</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GLM-5.2"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">19</span><div><a href="/ai-models/glm-5-2">GLM-5.2<!-- --> ↗</a><small>Z.ai<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">68.5</strong></td><td>68.7</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>73.2</td><td>—</td><td><strong>$12.08</strong></td><td>1.05M</td><td><span>$0.41<!-- --> / <!-- -->$3.99</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Gemini 3.6 Flash"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">20</span><div><a href="/ai-models/gemini-3-6-flash">Gemini 3.6 Flash<!-- --> ↗</a><small>Google<!-- --> · <!-- -->high</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">70.3</strong></td><td>68.3</td><td><span aria-label="Matched 10-model cohort only">13.9<small>2 sources</small></span></td><td>73.6</td><td><span>1,483<small>±<!-- -->4</small></span></td><td><strong>$15</strong></td><td>1.05M</td><td><span>$0.75<!-- --> / <!-- -->$3.75</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Muse Spark 1.1"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">21</span><div><a href="/ai-models/muse-spark-1-1">Muse Spark 1.1<!-- --> ↗</a><small>Meta<!-- --> · <!-- -->source ID xhigh; display high</small><span class="ModelMarket_modelBadges__EHk15"><span>Configuration discrepancy</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">74.0</strong></td><td>67.6</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>75.3</td><td>—</td><td><strong>$21</strong></td><td>1.05M</td><td><span>$1.25<!-- --> / <!-- -->$4.25</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Nemotron 3 Ultra"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">22</span><div><a href="/ai-models/nemotron-3-ultra-550b-a55b">Nemotron 3 Ultra<!-- --> ↗</a><small>NVIDIA<!-- --> · <!-- -->550B A55B · source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">63.8</strong></td><td>67.5</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>67.4</td><td>—</td><td><strong>$9.4</strong></td><td>262K</td><td><span>$0.5<!-- --> / <!-- -->$2.2</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GLM-5.3"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">23</span><div><a href="/ai-models/glm-5-3">GLM-5.3<!-- --> ↗</a><small>Z.ai<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.7</strong></td><td>66.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>76.1</td><td>—</td><td><strong>$22.8</strong></td><td>1.05M</td><td><span>$1.4<!-- --> / <!-- -->$4.4</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Grok 4.6"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">24</span><div><a href="/ai-models/grok-4-6">Grok 4.6<!-- --> ↗</a><small>xAI<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">75.3</strong></td><td>65.8</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>78.0</td><td>—</td><td><strong>$32</strong></td><td>500K</td><td><span>$2<!-- --> / <!-- -->$6</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Kimi K2.7 Code"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">25</span><div><a href="/ai-models/kimi-k2-7-code">Kimi K2.7 Code<!-- --> ↗</a><small>Moonshot AI<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">64.8</strong></td><td>65.6</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>68.4</td><td>—</td><td><strong>$13.41</strong></td><td>262K</td><td><span>$0.6712<!-- --> / <!-- -->$3.35</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Inkling"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">26</span><div><a href="/ai-models/inkling">Inkling<!-- --> ↗</a><small>Thinking Machines<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">68.9</strong></td><td>65.2</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>71.9</td><td>—</td><td><strong>$17.6</strong></td><td>524K</td><td><span>$0.95<!-- --> / <!-- -->$4.05</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Gemini 3.5 Flash-Lite"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">27</span><div><a href="/ai-models/gemini-3-5-flash-lite">Gemini 3.5 Flash-Lite<!-- --> ↗</a><small>Google<!-- --> · <!-- -->high</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">59.5</strong></td><td>65.1</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>63.9</td><td>—</td><td><strong>$8</strong></td><td>1.05M</td><td><span>$0.3<!-- --> / <!-- -->$2.5</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-6.1 Sol"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">28</span><div><a href="/ai-models/gpt-6-1-sol">GPT-6.1 Sol<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">77.7</strong></td><td>65.0</td><td><span aria-label="Matched 10-model cohort only">52.8<small>2 sources</small></span></td><td>81.6</td><td><span>1,483<small>±<!-- -->11</small></span></td><td><strong>$40</strong></td><td>1.05M</td><td><span>$2<!-- --> / <!-- -->$10</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Grok 4.7"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">29</span><div><a href="/ai-models/grok-4-7">Grok 4.7<!-- --> ↗</a><small>xAI<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.7</strong></td><td>64.7</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>77.4</td><td>—</td><td><strong>$32</strong></td><td>500K</td><td><span>$2<!-- --> / <!-- -->$6</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Qwen3.6 27B"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">30</span><div><a href="/ai-models/qwen3-6-27b">Qwen3.6 27B<!-- --> ↗</a><small>Alibaba<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">60.0</strong></td><td>64.4</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>64.0</td><td>—</td><td><strong>$9.6</strong></td><td>262K</td><td><span>$0.32<!-- --> / <!-- -->$3.2</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Grok 4.5"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">31</span><div><a href="/ai-models/grok-4-5">Grok 4.5<!-- --> ↗</a><small>xAI<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.1</strong></td><td>64.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>75.8</td><td>—</td><td><strong>$32</strong></td><td>500K</td><td><span>$2<!-- --> / <!-- -->$6</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Qwen3.7 Max"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">32</span><div><a href="/ai-models/qwen3-7-max">Qwen3.7 Max<!-- --> ↗</a><small>Alibaba<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">70.4</strong></td><td>63.5</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>73.1</td><td>—</td><td><strong>$23.6</strong></td><td>1.00M</td><td><span>$1.48<!-- --> / <!-- -->$4.43</span><small>OpenRouter catalog</small></td></tr><tr class="ModelMarket_selectedRow__HHmcJ"><td><input type="checkbox" aria-label="Compare GPT-6 Sol" checked=""/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">33</span><div><a href="/ai-models/gpt-6-sol">GPT-6 Sol<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">74.7</strong></td><td>62.9</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>79.2</td><td>—</td><td><strong>$40</strong></td><td>1.05M</td><td><span>$2<!-- --> / <!-- -->$10</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Sonnet 5"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">34</span><div><a href="/ai-models/claude-sonnet-5">Claude Sonnet 5<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.3</strong></td><td>61.9</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>76.0</td><td>—</td><td><strong>$40</strong></td><td>1.00M</td><td><span>$2<!-- --> / <!-- -->$10</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.4 mini"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">35</span><div><a href="/ai-models/gpt-5-4-mini">GPT-5.4 mini<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">62.5</strong></td><td>61.7</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>66.4</td><td>—</td><td><strong>$16.5</strong></td><td>400K</td><td><span>$0.75<!-- --> / <!-- -->$4.5</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Gemini 3.5 Flash"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">36</span><div><a href="/ai-models/gemini-3-5-flash">Gemini 3.5 Flash<!-- --> ↗</a><small>Google<!-- --> · <!-- -->high</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">70.8</strong></td><td>61.6</td><td><span aria-label="Matched 10-model cohort only">13.9<small>2 sources</small></span></td><td>74.6</td><td><span>1,477<small>±<!-- -->4</small></span></td><td><strong>$33</strong></td><td>1.05M</td><td><span>$1.5<!-- --> / <!-- -->$9</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Kimi K3"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">37</span><div><a href="/ai-models/kimi-k3">Kimi K3<!-- --> ↗</a><small>Moonshot AI<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">77.4</strong></td><td>61.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>79.2</td><td>—</td><td><strong>$54</strong></td><td>1.05M</td><td><span>$2.7<!-- --> / <!-- -->$13.5</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.6 Terra"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">38</span><div><a href="/ai-models/gpt-5-6-terra">GPT-5.6 Terra<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->source ID max; display xhigh</small><span class="ModelMarket_modelBadges__EHk15"><span>Configuration discrepancy</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">74.1</strong></td><td>60.8</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>77.9</td><td>—</td><td><strong>$44</strong></td><td>1.05M</td><td><span>$2<!-- --> / <!-- -->$12</span><small>Direct API</small></td></tr><tr class="ModelMarket_selectedRow__HHmcJ"><td><input type="checkbox" aria-label="Compare Claude Opus 5.5" checked=""/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">39</span><div><a href="/ai-models/claude-opus-5-5">Claude Opus 5.5<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">79.4</strong></td><td>60.8</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>83.2</td><td>—</td><td><strong>$80</strong></td><td>1.00M</td><td><span>$4<!-- --> / <!-- -->$20</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Sonnet 5.5"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">40</span><div><a href="/ai-models/claude-sonnet-5-5">Claude Sonnet 5.5<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">71.0</strong></td><td>60.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>75.7</td><td>—</td><td><strong>$40</strong></td><td>1.00M</td><td><span>$2<!-- --> / <!-- -->$10</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Gemini 3.1 Pro Preview"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">41</span><div><a href="/ai-models/gemini-3-1-pro-preview">Gemini 3.1 Pro Preview<!-- --> ↗</a><small>Google<!-- --> · <!-- -->high</small><span class="ModelMarket_modelBadges__EHk15"><span>Preview</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.2</strong></td><td>60.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>77.0</td><td>—</td><td><strong>$44</strong></td><td>1.05M</td><td><span>$2<!-- --> / <!-- -->$12</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.6 Sol"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">42</span><div><a href="/ai-models/gpt-5-6-sol">GPT-5.6 Sol<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->source ID max; display xhigh</small><span class="ModelMarket_modelBadges__EHk15"><span>Configuration discrepancy</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">77.1</strong></td><td>59.1</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>81.1</td><td>—</td><td><strong>$80</strong></td><td>1.05M</td><td><span>$4<!-- --> / <!-- -->$20</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.4"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">43</span><div><a href="/ai-models/gpt-5-4">GPT-5.4<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">74.4</strong></td><td>58.6</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>78.0</td><td>—</td><td><strong>$55</strong></td><td>1.05M</td><td><span>$2.5<!-- --> / <!-- -->$15</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.2 Codex"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">44</span><div><a href="/ai-models/gpt-5-2-codex">GPT-5.2 Codex<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">69.9</strong></td><td>56.8</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>74.0</td><td>—</td><td><strong>$45.5</strong></td><td>400K</td><td><span>$1.75<!-- --> / <!-- -->$14</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.2"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">45</span><div><a href="/ai-models/gpt-5-2">GPT-5.2<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->high · 2025-12-11</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">69.8</strong></td><td>56.8</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>74.6</td><td>—</td><td><strong>$45.5</strong></td><td>400K</td><td><span>$1.75<!-- --> / <!-- -->$14</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Grok 4.3"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">46</span><div><a href="/ai-models/grok-4-3">Grok 4.3<!-- --> ↗</a><small>xAI<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">56.0</strong></td><td>56.7</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>62.2</td><td>—</td><td><strong>$17.5</strong></td><td>1.00M</td><td><span>$1.25<!-- --> / <!-- -->$2.5</span><small>OpenRouter catalog</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Fable 5.1"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">47</span><div><a href="/ai-models/claude-fable-5-1">Claude Fable 5.1<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">79.6</strong></td><td>56.3</td><td><span aria-label="Matched 10-model cohort only">94.4<small>2 sources</small></span></td><td>83.4</td><td><span>1,501<small>±<!-- -->6</small></span></td><td><strong>$200</strong></td><td>1.00M</td><td><span>$10<!-- --> / <!-- -->$50</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Opus 5"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">48</span><div><a href="/ai-models/claude-opus-5">Claude Opus 5<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">75.7</strong></td><td>56.2</td><td><span aria-label="Matched 10-model cohort only">61.1<small>2 sources</small></span></td><td>80.1</td><td><span>1,489<small>±<!-- -->5</small></span></td><td><strong>$100</strong></td><td>1.00M</td><td><span>$5<!-- --> / <!-- -->$25</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Fable 5"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">49</span><div><a href="/ai-models/claude-fable-5">Claude Fable 5<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->source ID max; display xhigh</small><span class="ModelMarket_modelBadges__EHk15"><span>Configuration discrepancy</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">79.0</strong></td><td>55.8</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>83.0</td><td>—</td><td><strong>$200</strong></td><td>1.00M</td><td><span>$10<!-- --> / <!-- -->$50</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-6 Astra"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">50</span><div><a href="/ai-models/gpt-6-astra">GPT-6 Astra<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">78.6</strong></td><td>55.6</td><td><span aria-label="Matched 10-model cohort only">47.2<small>2 sources</small></span></td><td>82.2</td><td><span>1,477<small>±<!-- -->7</small></span></td><td><strong>$200</strong></td><td>1.05M</td><td><span>$10<!-- --> / <!-- -->$50</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare GPT-5.5"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">51</span><div><a href="/ai-models/gpt-5-5">GPT-5.5<!-- --> ↗</a><small>OpenAI<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">75.8</strong></td><td>54.7</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>80.2</td><td>—</td><td><strong>$110</strong></td><td>1.05M</td><td><span>$5<!-- --> / <!-- -->$30</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Sonnet 4.6"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">52</span><div><a href="/ai-models/claude-sonnet-4-6">Claude Sonnet 4.6<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->medium · adaptive thinking</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">69.4</strong></td><td>54.6</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>73.0</td><td>—</td><td><strong>$60</strong></td><td>1.00M</td><td><span>$3<!-- --> / <!-- -->$15</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Opus 4.8"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">53</span><div><a href="/ai-models/claude-opus-4-8">Claude Opus 4.8<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->max</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">73.0</strong></td><td>54.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>76.2</td><td>—</td><td><strong>$100</strong></td><td>1.00M</td><td><span>$5<!-- --> / <!-- -->$25</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Opus 4.7"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">54</span><div><a href="/ai-models/claude-opus-4-7">Claude Opus 4.7<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->xhigh</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">72.9</strong></td><td>54.3</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>76.5</td><td>—</td><td><strong>$100</strong></td><td>1.00M</td><td><span>$5<!-- --> / <!-- -->$25</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Opus 4.6"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">55</span><div><a href="/ai-models/claude-opus-4-6">Claude Opus 4.6<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->high · adaptive thinking</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">70.5</strong></td><td>52.6</td><td><span aria-label="Matched 10-model cohort only">55.6<small>2 sources</small></span></td><td>74.5</td><td><span>1,505<small>±<!-- -->3</small></span></td><td><strong>$100</strong></td><td>1.00M</td><td><span>$5<!-- --> / <!-- -->$25</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Claude Opus 4.5"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">56</span><div><a href="/ai-models/claude-opus-4-5">Claude Opus 4.5<!-- --> ↗</a><small>Anthropic<!-- --> · <!-- -->high · 64K thinking</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">66.7</strong></td><td>50.0</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>72.6</td><td>—</td><td><strong>$100</strong></td><td>200K</td><td><span>$5<!-- --> / <!-- -->$25</span><small>Direct API</small></td></tr><tr><td><input type="checkbox" aria-label="Compare Qwen3.8 Flash Next"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">57</span><div><a href="/ai-models/qwen3-8-flash-next">Qwen3.8 Flash Next<!-- --> ↗</a><small>Alibaba<!-- --> · <!-- -->source default</small><span class="ModelMarket_modelBadges__EHk15"><span>Open weights</span></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">76.2</strong></td><td>—</td><td>
7<span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>76.2</td><td>—</td><td><strong>—</strong></td><td>Not verified</td><td>Not verified</td></tr><tr><td><input type="checkbox" aria-label="Compare Qwen3.8 Max"/></td><th scope="row"><div class="ModelMarket_modelCell__iYVp5"><span class="ModelMarket_rowRank__TFhex">58</span><div><a href="/ai-models/qwen3-8-max-0902">Qwen3.8 Max<!-- --> ↗</a><small>Alibaba<!-- --> · <!-- -->source default · version mapping unconfirmed</small><span class="ModelMarket_modelBadges__EHk15"></span></div></div></th><td><strong class="ModelMarket_score__iH2GS">77.0</strong></td><td>—</td><td><span class="ModelMarket_missing___a5oQ" aria-label="A matching Arena configuration is not verified">—</span></td><td>78.5</td><td>—</td><td><strong>—</strong></td><td>Not verified</td><td>Not verified</td></tr></tbody></table></div><p class="ModelMarket_finePrint__yvbT9">— means missing comparable evidence, never zero. Consensus covers only <!-- -->10<!-- --> matched configurations. Model IDs, reasoning settings, source links and pricing differences are available on every model page. Open weights does not imply unrestricted commercial use.</p></section><section id="compare" class="ModelMarket_compareSection__QdN8_"><div class="ModelMarket_sectionHeading__rpRX6"><div><p class="ModelMarket_eyebrow__dHiN1">LOOK BEYOND ONE NUMBER</p><h2>Your shortlist, under the microscope.</h2></div><a href="#leaderboard">Change models ↑</a></div><div class="ModelMarket_comparisonGrid__0YKWP"><div><svg viewBox="0 0 440 370" role="img" aria-label="Selected model capability radar. Exact category values are listed in the adjacent comparison table." class="ModelMarket_radar__7b090"><polygon points="220,151.25 246.387,163.957 252.904,192.51 234.644,215.408 205.356,215.408 187.096,192.51 193.613,163.957" fill="none" stroke="#b8cbe5"></polygon><polygon points="220,117.5 272.774,142.914 285.808,200.02 249.287,245.815 190.713,245.815 154.192,200.02 167.226,142.914" fill="none" stroke="#b8cbe5"></polygon><polygon points="220,83.75 299.16,121.872 318.711,207.53 263.931,276.223 176.069,276.223 121.289,207.53 140.84,121.872" fill="none" stroke="#b8cbe5"></polygon><polygon points="220,50 325.547,100.829 351.615,215.04 278.574,306.631 161.426,306.631 88.385,215.04 114.453,100.829" fill="none" stroke="#b8cbe5"></polygon><g><line x1="220" y1="185" x2="220" y2="50" stroke="#d7e3f2"></line><text x="220" y="21.65" text-anchor="middle" font-size="10">Reasoning</text></g><g>
7<line x1="220" y1="185" x2="325.547" y2="100.829" stroke="#d7e3f2"></line><text x="347.712" y="83.153" text-anchor="start" font-size="10">Coding</text></g><g><line x1="220" y1="185" x2="351.615" y2="215.04" stroke="#d7e3f2"></line><text x="379.254" y="221.349" text-anchor="start" font-size="10">Agentic code</text></g><g><line x1="220" y1="185" x2="278.574" y2="306.631" stroke="#d7e3f2"></line><text x="290.875" y="332.173" text-anchor="start" font-size="10">Mathematics</text></g><g><line x1="220" y1="185" x2="161.426" y2="306.631" stroke="#d7e3f2"></line><text x="149.125" y="332.173" text-anchor="end" font-size="10">Data</text></g><g><line x1="220" y1="185" x2="88.385" y2="215.04" stroke="#d7e3f2"></line><text x="60.746" y="221.349" text-anchor="end" font-size="10">Language</text></g><g><line x1="220" y1="185" x2="114.453" y2="100.829" stroke="#d7e3f2"></line><text x="92.288" y="83.153" text-anchor="end" font-size="10">Instructions</text></g><polygon points="220,60.592 314.204,109.875 314.391,206.544 276.862,303.076 172.961,282.678 106.456,210.916 150.616,129.668" fill="#185cda" fill-opacity=".12" stroke="#185cda" stroke-width="2"></polygon><polygon points="220,65.317 306.303,116.176 289.596,200.885 276.44,302.199 172.444,283.751 107.734,210.624 147.621,127.28" fill="#7c3aed" fill-opacity=".12" stroke="#7c3aed" stroke-width="2"></polygon><polygon points="220,67.965 304.477,117.632 321.703,208.213 274.644,298.469 173.578,281.396 113.142,209.39 146.082,126.052" fill="#d97706" fill-opacity=".12" stroke="#d97706" stroke-width="2"></polygon></svg><div class="ModelMarket_radarLegend__a_kEG"><span><i style="background:#185cda"></i>Claude Opus 5.5</span><span><i style="background:#7c3aed"></i>GPT-6 Sol</span><span><i style="background:#d97706"></i>DeepSeek V4.1 Flash</span></div></div><div class="ModelMarket_tableScroll__V6eqE"><table class="ModelMarket_compareTable__tseBH"><caption class="ModelMarket_srOnly__s2vz3">Selected AI models compared, with scores from the same LiveBench question set</caption><thead><tr><th scope="col">Measure</th><th scope="col" style="border-top:3px solid #185cda"><a href="/ai-models/claude-opus-5-5">Claude Opus 5.5</a><small>max</small><button type="button" aria-label="Remove Claude Opus 5.5 from comparison">Remove ×</button></th><th scope="col" style="border-top:3px solid #7c3aed"><a href="/ai-models/gpt-6-sol">GPT-6 Sol</a><small>max</small><button type="button" aria-label="Remove GPT-6 Sol from comparison">Remove ×</button></th><th scope="col" style="border-top:3px solid #d97706"><a href="/ai-models/deepseek-v4-1-flash">DeepSeek V4.1 Flash</a><small>max</small><button type="button" aria-label="Remove DeepSeek V4.1 Flash from comparison">Remove ×</button></th></tr></thead><tbody><tr><th scope="row">Agent Fit<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agent Fit" aria-expanded="false">?</button></span></th><td>79.4</td><td>74.7</td><td>78.9</td></tr><tr><th scope="row">Practical Value<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Practical Value" aria-expanded="false">?</button></span></th><td>60.8</td><td>62.9</td><td>80.6</td></tr><tr><th scope="row">Evidence Consensus<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Evidence Consensus" aria-expanded="false">?</button></span></th><td>Insufficient evidence</td><td>Insufficient evidence</td><td>Insufficient evidence</td></tr><tr><th scope="row">Workload cost<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Workload cost" aria-expanded="false">?</button></span></th><td>$80</td><td>$40</td><td>$5.4</td></tr><tr><th scope="row">Context window<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Context window" aria-expanded="false">?</button></span></th><td>1.00M</td><td>
71.05M</td><td>1.05M</td></tr><tr><th scope="row">Tool calling<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Tool calling" aria-expanded="false">?</button></span></th><td>Supported</td><td>Supported</td><td>Supported</td></tr><tr><th scope="row">Reasoning<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Reasoning" aria-expanded="false">?</button></span></th><td>92.2</td><td>88.7</td><td>86.7</td></tr><tr><th scope="row">Coding<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Coding" aria-expanded="false">?</button></span></th><td>89.3</td><td>81.8</td><td>80.0</td></tr><tr><th scope="row">Agentic coding<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Agentic coding" aria-expanded="false">?</button></span></th><td>71.7</td><td>52.9</td><td>77.3</td></tr><tr><th scope="row">Mathematics<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Mathematics" aria-expanded="false">?</button></span></th><td>97.1</td><td>96.4</td><td>93.3</td></tr><tr><th scope="row">Data analysis<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Data analysis" aria-expanded="false">?</button></span></th><td>80.3</td><td>81.2</td><td>79.3</td></tr><tr><th scope="row">Language<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Language" aria-expanded="false">?</button></span></th><td>86.3</td><td>85.3</td><td>81.2</td></tr><tr><th scope="row">Instruction following<span class="ModelMarket_helpWrap__t92bX"><button class="ModelMarket_help__ejieE" type="button" aria-label="Explain Instruction following" aria-expanded="false">?</button></span></th><td>65.7</td><td>68.6</td><td>70.0</td></tr><tr><th scope="row">Input / output per 1M</th><td>$4 / $20</td><td>$2 / $10</td><td>$0.3 / $1.2</td></tr></tbody></table></div></div></section><div class="ModelMarket_pairLinks__QZJb_"><a href="/ai-models/best-ai-models-for-agents">Best models for AI agents<!-- --> ↗</a><a href="/ai-models/best-ai-models-for-coding">Best models for coding<!-- --> ↗</a><a href="/ai-models/open-weight-models">Open-weight model comparison<!-- --> ↗</a></div></main><div class="ModelMarket_bottomNote__hPmyX">AI Agent Store · Model intelligence · Snapshot <!-- -->2026-10-03<a href="/ai-models/methodology#sources">Sources, limitations &amp; 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Full feature guide</a></li><li><a href="/agent-teams/muse" class="hover:text-white transition-colors duration-200">AI Agent Teams for Muse</a></li><li><a href="/agent-teams?source=footer_prompt&amp;brand=agent_teams&amp;v=prompt" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Generate an AI agent from a prompt">Generate an agent from a prompt</a></li><li><a href="/get-premium" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Premium Subscription">Premium Subscription</a></li><li><a href="/get-founder-insights" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Founder Subscription">Founder Subscription</a></li><li><a href="/ai-agencies" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Top AI Agency List">Top AI Agency List</a></li></ul><h3 class="text-lg font-semibold text-gray-400 uppercase mt-8 mb-4">Claw Earn</h3><ul class="space-y-2"><li><a href="/claw-earn" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Claw Earn">Claw Earn</a></li><li><a href="/claw-earn/ai-agent-tasks/available" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Claw Earn Marketplace">Marketplace</a></li><li><a href="/claw-earn/create" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Post a Claw Earn Task">Post a Task</a></li><li><a href="/claw-earn/dashboard" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="My Claw Earn Tasks">My Tasks</a></li><li><a href="/claw-earn/accounting" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Claw Earn Accounting Exports">Accounting Exports</a></li><li><a href="/claw-earn/docs/overview" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Claw Earn Docs">Docs</a></li></ul></div></div><div class="order-4 sm:order-none flex flex-col space-y-10"><div><h3 class="text-lg font-semibold text-gray-400 uppercase mb-4">Browse By Filters</h3><ul class="space-y-2"><li><a href="/categories" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="AI Agents by Category">AI Agents by Category</a></li><li><a href="/industries" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="AI Agents by Industry">AI Agents by Industry</a></li><li><a href="/tags" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="AI Agents by Tag">AI Agents by Tag</a></li><li><a href="/professions" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="AI Agents by Audience">AI Agents by Audience</a></li><li><a href="/code" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="AI Agents by Code Acce
7ss">AI Agents by Code Access</a></li><li><a href="/pricing" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="AI Agents by Pricing">AI Agents by Pricing</a></li><li><a href="/newest-ai-agent-comparisons" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Newest AI Agent Comparisons">Newest AI Agent Comparisons</a></li></ul></div><div><h3 class="text-lg font-semibold text-gray-400 uppercase mb-4">Free Tools</h3><ul class="space-y-2"><li><a href="/free-tools/usage-based-pricing-simulator" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Usage-Based Pricing Simulator">Usage-Based Pricing Simulator</a></li><li><a href="/free-tools/prepay-vs-monthly-cash-flow-impact" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Prepay vs Monthly Cash Flow Impact">Prepay vs Monthly</a></li><li><a href="/free-tools/hiring-plan-runway-impact" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Hiring Plan Runway Impact">Hiring Plan Runway Impact</a></li><li><a href="/free-tools/gtm-funnel-targets-calculator" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="GTM Funnel Targets Calculator">GTM Funnel Targets</a></li><li><a href="/free-tools/pricing-tier-mix-forecaster" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="Pricing Tier Mix Forecaster">Pricing Tier Mix</a></li><li><a href="/free-tools" target="_self" rel="noopener noreferrer" class="hover:text-white transition-colors duration-200" aria-label="More Free Tools">More free tools</a></li></ul></div><div class="flex flex-col space-y-4 order-last sm:order-none md:order-none"><h2 class="text-2xl font-bold text-white"><a href="https://mbskydis.com" target="_blank" rel="noopener noreferrer" class="hover:underline">MB Skydis</a></h2><p class="text-sm">Powering AI-driven solutions for modern businesses</p><p class="text-sm">© <!-- -->2026<!-- --> <a href="https://mbskydis.com" target="_blank" rel="noopener noreferrer" class="hover:underline">MB Skydis</a>. All rights reserved.</p></div></div></div><div class="border-t border-gray-700 mt-8 pt-6"><p class="text-center text-sm text-gray-500">Created with ❤️ by <a href="https://mbskydis.com" target="_blank" rel="noopener noreferrer" class="hover:underline">MB Skydis</a></p></div></div></footer></div>
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