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1<meta name="next-size-adjust" content=""/><link rel="describedby" href="https://www.linkup.so/llms.txt"/><title>Linkup - Linkup has achieved SOTA performance </title><meta name="description" content="Linkup has achieved state-of-the-art (SOTA) performance on SimpleQA scoring 91.0%. "/><link rel="canonical" href="https://www.linkup.so/blog/linkup-establishes-sota-performance-on-simpleqa"/><meta property="og:title" content="Linkup - Linkup has achieved SOTA performance "/><meta property="og:description" content="Linkup has achieved state-of-the-art (SOTA) performance on SimpleQA scoring 91.0%. "/><meta property="og:image" content="https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?rect=0,7,1296,677&w=1200&h=627&fit=crop"/><meta property="og:image:width" content="1200"/><meta property="og:image:height" content="627"/><meta property="og:image:alt" content="Linkup-Sota-SimpleQA"/><meta name="twitter:card" content="summary_large_image"/><meta name="twitter:title" content="Linkup - Linkup has achieved SOTA performance "/><meta name="twitter:description" content="Linkup has achieved state-of-the-art (SOTA) performance on SimpleQA scoring 91.0%. "/><meta name="twitter:image" content="https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?rect=0,7,1296,677&w=1200&h=627&fit=crop"/><meta name="twitter:image:alt" content="Linkup-Sota-SimpleQA"/><meta name="twitter:image:width" content="1200"/><meta name="twitter:image:height" content="627"/><link rel="icon" href="/_next/static/immutable/media/favicon.0nnprkm5qsjim.png" media="(prefers-color-scheme: light)"/><link rel="icon" href="/_next/static/immutable/media/favicon-dark.2yl18p4jwc-6u.png" media="(prefers-color-scheme: dark)"/>
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1<div hidden id="S:2"><section class="container pt-12 pb-6 lg:pt-24 lg:pb-0"><div class="grid gap-12 lg:grid-cols-[15rem_minmax(0,1fr)] lg:gap-24"><aside class="order-1 hidden self-start lg:sticky lg:top-12 lg:block"><nav class="border border-text-subtle lg:flex lg:max-h-[calc(100dvh-theme(spacing.12)-theme(spacing.12))] lg:flex-col" aria-label="Table of contents"><div class="p-6 border-b border-text-subtle leading-[1.1] space-y-3"><a class="font-mono text-xs text-heading-primary underline-offset-4 hover:underline" href="/blog">Blog</a></div><ul class="space-y-6 p-6 lg:min-h-0 lg:overflow-y-auto lg:overscroll-contain"><li class="leading-[1.1] pl-8"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#30ac643a8453">03/12/2025 Update</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#3d28e4b5e847">TL:DR;</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#98b4a07fa6f6">The Internet: An AI's Secret Weapon</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#b69598890515">Linkup: The Best Way to Connect Your AI to the Internet</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#791ac8bef684">Our Methodology</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#9640ca0b72e7">Looking Forward</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#e75dbd64c250">Get Started with Linkup</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#09ea5db2ff07">References and Sources</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#ff76ee7ac625">Appendix: About SimpleQA</a></li></ul></nav></aside><article class="order-2 min-w-0 space-y-12 md:space-y-12"><div class="relative max-w-204 overflow-hidden border border-border hidden md:block"><img alt="Linkup-Sota-SimpleQA" loading="lazy" class="h-auto w-full" srcSet="https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?auto=format&fit=max&q=75&w=203 203w, https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?auto=format&fit=max&q=75&w=406 406w, https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?auto=format&fit=max&q=75&w=608 608w, https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?auto=format&fit=max&q=75&w=811 811w, https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?auto=format&fit=max&q=75&w=1217 1217w, https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?auto=format&fit=max&q=75&w=1296 1296w" src="https://cdn.sanity.io/images/fxvvc6rg/production/9b3648d061577defb4f78e96841f2b50feb2eefd-1296x690.png?auto=format&fit=max&q=75&w=811" width="811" height="432"/><div class="pointer-events-none absolute inset-0 mix-blend-multiply opacity-40" style="background-image:url(/_next/static/immutable/media/noise-overlay-tile.334mj74k9ugyq.png);background-repeat:repeat;background-size:24rem 24rem"></div><div class="pointer-events-none absolute inset-6" aria-hidden="true"><canvas class="absolute inset-0 h-full w-full"></canvas></div></div><div class="max-w-204 space-y-6"><p class="font-mono text-xs text-text-strong"><time dateTime="2025-12-03T14:09:00.000Z">Dec 3, 2025</time></p><h1 class="text-pretty text-3xl md:text-3xl leading-[1.15] tracking-[-0.01em] text-text-strong">Linkup establishes SOTA performance on SimpleQA</h1><div class="max-w-162"><div class="flex items-center gap-6"><img alt="Philippe Mizrahi portrait" loading="lazy" class="size-12 object-cover" srcSet="https://cdn.sanity.io/images/fxvvc6rg/production/d95543ac55f9c16bba54af9e3827a1f4a3e34c13-247x264.png?auto=format&fit=max&q=75&w=45 45w, https://cdn.sanity.io/images/fxvvc6rg/production/d95543ac55f9c16bba54af9e3827a1f4a3e34c13-247x264.png?auto=format&fit=max&q=75&w=90 90w" src="https://cdn.sanity.io/images/fxvvc6rg/production/d95543ac55f9c16bba54af9e3827a1f4a3e34c13-247x264.png?auto=format&fit=max&q=75&w=45" width="45" height="48"/><div class="grid"><p class="text-xs font-mono font-medium text-text-strong">Philippe Mizrahi</p><p class="text-xs font-mono text-text-strong">CEO & Co-founder</p></div></div><blockquote class="mt-10 border-l-2 border-text-strong bg-text-subtle/10 px-6 py-5 text-base font-medium text-text-strong">Linkup has achieved state-of-the-art (SOTA) performance on OpenAI's SimpleQA benchmark, scoring 90.10%. This performance surpasses both traditional AI models (e.g. Grok 3) and competing web-connected solutions (e.g. Perplexity)</blockquote></div></div><div class="lg:hidden"><nav class="border border-text-subtle lg:flex lg:max-h-[calc(100dvh-theme(sp
1acing.12)-theme(spacing.12))] lg:flex-col" aria-label="Table of contents"><div class="p-6 border-b border-text-subtle leading-[1.1] space-y-3"><a class="font-mono text-xs text-heading-primary underline-offset-4 hover:underline" href="/blog">Blog</a></div><ul class="space-y-6 p-6 lg:min-h-0 lg:overflow-y-auto lg:overscroll-contain"><li class="leading-[1.1] pl-8"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#30ac643a8453">03/12/2025 Update</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#3d28e4b5e847">TL:DR;</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#98b4a07fa6f6">The Internet: An AI's Secret Weapon</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#b69598890515">Linkup: The Best Way to Connect Your AI to the Internet</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#791ac8bef684">Our Methodology</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#9640ca0b72e7">Looking Forward</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#e75dbd64c250">Get Started with Linkup</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#09ea5db2ff07">References and Sources</a></li><li class="leading-[1.1] pl-4"><a class="font-mono text-xs transition-colors text-muted-foreground" href="#ff76ee7ac625">Appendix: About SimpleQA</a></li></ul></nav></div><div class="prose prose-base prose-brand prose-headings:font-normal prose-headings:mb-[0.25em] prose-headings:mt-[1em] prose-h2:text-[1.75em] md:prose-h2:text-[2.5em] prose-h3:text-[1.25em] md:prose-h3:text-[2em] prose-blockquote:border-l prose-blockquote:not-italic prose-blockquote:font-semibold prose-blockquote:pl-6"><h4 id="30ac643a8453" class="group relative scroll-mt-24"><strong>03/12/2025 Update</strong><a href="#30ac643a8453" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h4><p>Linkup launched a new version of its proprietary model, <strong>scoring a 91.0% F-Score on SimpleQA</strong>. This increases Linkup's lead against the competition (Perplexity, OpenAI, Exa, Tavily, etcâ¦) and solidifies Linkup's position as the World's Best Search API for AIs.</p><p><strong>Note</strong>: we have left the rest of the article as it was initially published on 02/21/2025.</p><p><strong></strong></p><h3 id="3d28e4b5e847" class="group relative scroll-mt-24"><strong>TL:DR;</strong><a href="#3d28e4b5e847" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h3><p>Linkup has achieved state-of-the-art (SOTA) performance on OpenAI's <a href="https://openai.com/index/introducing-simpleqa/">SimpleQA</a> benchmark, scoring 90.10%. This performance surpasses both traditional AI models (e.g. Grok 3) and competing web-connected solutions (e.g. Perplexity). Our evaluations show that, when it comes to factuality, internet connectivity is more important than model size.</p><p>Note: this evaluation excludes research agents (e.g. OpenAIâs Deep Researcher, Perplexityâs Deep Research), which are designed to take much longer- seconds vs. minutes- to write research reports or long-form documents.</p><h3 id="98b4a07fa6f6" class="group relative scroll-mt-24"><strong>The Internet: An AI'
1s Secret Weapon</strong><a href="#98b4a07fa6f6" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h3><p>A Large Language Model (LLM) is like a brilliant person who went into a cave a year ago - they don't know anything that happened since the end of their training. They can't tell you about yesterday's news or your company's latest products. By connecting your AI to the internet through an API like Linkup, we solve this problem - giving it access to the data it needs to generate high quality, grounded outputs.</p><p>This logic is quantitatively validated using OpenAIâs SimpleQA benchmark, which measures an AIâs factuality (more info in the appendix).</p><p></p><figure class="my-8"><img alt="" loading="lazy" class="rounded-sm" srcSet="https://cdn.sanity.io/images/fxvvc6rg/production/25802fb78585672561262c437ef5595fbd5d6f7f-1600x390.png?auto=format&fit=max&q=75&w=336 336w, https://cdn.sanity.io/images/fxvvc6rg/production/25802fb78585672561262c437ef5595fbd5d6f7f-1600x390.png?auto=format&fit=max&q=75&w=672 672w, https://cdn.sanity.io/images/fxvvc6rg/production/25802fb78585672561262c437ef5595fbd5d6f7f-1600x390.png?auto=format&fit=max&q=75&w=1008 1008w, https://cdn.sanity.io/images/fxvvc6rg/production/25802fb78585672561262c437ef5595fbd5d6f7f-1600x390.png?auto=format&fit=max&q=75&w=1344 1344w" src="https://cdn.sanity.io/images/fxvvc6rg/production/25802fb78585672561262c437ef5595fbd5d6f7f-1600x390.png?auto=format&fit=max&q=75&w=672" width="672" height="164"/></figure><p>Our assessment demonstrates that integrating internet connectivity with GPT-4o-mini yields dramatic (x10!) performance improvements in terms of factuality. This makes GPT-4o-mini twice as accurate as o1, a model with much superior performance.</p><p>The architecture-agnostic nature of this integration enables consistent performance enhancement across multiple LLM frameworks, including Llama, Mistral, and Deepseek. These findings suggest that enhanced information access capabilities represent a fundamental shift in LLM performance optimization, potentially offering greater impact than traditional scaling approaches.</p><p>This quantitative evidence indicates that strategic integration of real-time information access may be a key driver of LLM performance enhancement, complementing existing model scaling approaches in the evolving AI landscape.</p><p></p><h3 id="b69598890515" class="group relative scroll-mt-24">Linkup: The Best Way to Connect Your AI to the Internet<a href="#b69598890515" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h3><p>When it comes to web-connected AI, not all solutions are created equal. Here's how the numbers stack up:</p><figure class="my-8"><img alt="" loading="lazy" class="rounded-sm" srcSet="https://cdn.sanity.io/images/fxvvc6rg/production/a29a60e0da133946c70846e4b525c213ff733f25-1600x427.png?auto=format&fit=max&q=75&w=336 336w, https://cdn.sanity.io/images/fxvvc6rg/production/a29a60e0da133946c70846e4b525c213ff733f25-1600x427.png?auto=format&fit=max&q=75&w=672 672w, https://cdn.sanity.io/images/fxvvc6rg/production/a29a60e0da133946c70846e4b525c213ff733f25-1600x427.png?auto=format&fit=max&q=75&w=1008 1008w, https://cdn.sanity.io/images/fxvvc6rg/production/a29a60e0da133946c70846e4b525c213ff733f25-1600x427.png?auto=format&fit=max&q=75&w=1344 1344w" src="https://cdn.sanity.io/images/fxvvc6rg/production/a29a60e0da133946c70846e4b525c213ff733f25-1600x427.png?auto=format&fit=max&q=75&w=672" width="672" height="179"/></figure><p>Linkup establishes a new State of the Art result on SimpleQA with 90.10% with Linkup Deep Search. Kudos to Exa for finishing close to Linkup at 90.04%. Linkupâs Deep Search beats the comparable Perplexity Sonar Pro (90% vs. 86%) and Linkupâs Standard Search beats the comparable Perplexity Sonar (85% vs. 77%).</p><p>How did we do it? We believe Linkup was able to achieve superior performance through:</p><ol><li>Advanced Search: Our proprietary algorithms ensure more relevant and accurate web results</li><li>Data integrations: Linkup integrates natively with data sources to return high quality information</li><li>
1Real-time Processing: The Linkup infrastructure is real-time by design and can surface information from published less than a minute ago</li></ol><p>Weâll share a bit more in an upcoming technical blog post.</p><p>Interestingly, all the models with a web connection perform much better than the models without. Grok 3, which was just released, scores 45%, while Tavily scores 73%.</p><p>In our view, web retrievers like Linkup and LLMs should not be opposed. They should be used together to build AI applications, solving real world problems. Whenever accuracy is critical, using a web retriever can significantly improve performance. The internet is indeed AIâs secret weapon.</p><p></p><h3 id="791ac8bef684" class="group relative scroll-mt-24">Our Methodology<a href="#791ac8bef684" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h3><p>To evaluate our performance, we used OpenAIâs <a href="https://openai.com/index/introducing-simpleqa/">SimpleQA</a> benchmark and F-Score definition. Our script can be found <a href="https://github.com/LinkupPlatform/eval-simpleQA/blob/main/README.md">here</a>.</p><p>We ran this script for our Linkup API both in âstandardâ - the fastest- and âdeepâ- the most comprehensive- modes, the âdeepâ mode scoring the higher result.</p><p>For the other APIs (e.g. Perplexity Sonar Pro), we used the performances officially published by each of the companies (e.g. Perplexity) in blog posts or research papers. Sources can be found below.</p><p>The only exception to that is Tavily, which did not publish any results as far as we know. To measure their performance, we used the same script as we used to measure Linkupâs performance.</p><p>In this benchmark, we did not measure the performance of Deep Research Assistants like OpenAIâs Deep Researcher or Perplexityâs Deep Research, whose product behavior is less one of a web retriever and more of a report writing assistant, taking minutes to write long form reports.</p><p>For this benchmark, we selected the top industry players we identified. If you believe we missed anyone, please let us know at [email protected].</p><p></p><h3 id="9640ca0b72e7" class="group relative scroll-mt-24">Looking Forward<a href="#9640ca0b72e7" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h3><p>Linkupâs focus is to build the best search for AIs, to power applications and the new generation of AI agents. And this is already happening. Linkup's search technology has started to quietly transform how people work with information.</p><p>The real story unfolds in offices and workspaces, where financial analysts uncover market trends in minutes rather than hours, and where customer service teams confidently answer complex questions on the fly. Teams using Linkup-powered apps are cutting their research time while actually improving their output - not because of flashy features, but because they're finding exactly what they need when they need it. There's something satisfying about seeing technology solve real problems, making Monday mornings a little smoother for people just trying to get their work done.</p><p></p><h3 id="e75dbd64c250" class="group relative scroll-mt-24">Get Started with Linkup<a href="#e75dbd64c250" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h3><p>Ready to supercharge your AI with best-in-class web connectivity?</p><ol><li>Start building with <a href="https://docs.linkup.so/pages/documentation/get-started/introduction">Linkup</a> for free!</li><li>Join our community on <a href="https://discord.com/invite/9q9mCYJa86">Discord</a> to connect with our team of engineers and AI researchers</li><li>Follow us on <a href="https://x.com/Linkup_platform">X</a> to stay up to date with our new releases</li></ol><h3 id="09ea5db2ff07" class="group relative scroll-mt-24">References and Sources<a href="#09ea5db2ff07" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h3><p>We used the AI-labs SimpleQA self-published performances, except for Tavily, for which we were not able to find one so we ran the evaluation ourselves: <a href="https://exa.ai/blog/api-evals">Exa</a>, <a href="https://www.perplexity.ai/hub/blog/introducing-the-sonar-pro-api">Perplexity</a>, <a href="https://github.com/openai/simple-evals">OpenAI</a>, <a href="https://developers.googleblog.com/en/gemini-2-family-expands/">Google</a>, <a href="https://arxiv.org/html/2501.12948v1">Deepseek</a>, <a href="https://x.ai/blog/grok-3">Grok</a>.</p><p></p><h3 id="ff76ee7ac625" class="group relative scroll-mt-24">Appendix: About SimpleQA<a href="#ff76ee7ac625" class="absolute top-0 bottom-0 -left-6 flex items-center opacity-0 transition-opacity group-hover:opacity-100"><svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1"></path></svg></a></h3><p>SimpleQA is OpenAI's new benchmark for measuring AI factuality, featuring 4,326 questions across diverse topics including science, politics, arts, and technology. For complete details about SimpleQA methodology and implementation, visit <a href="https://openai.com/index/introducing-simpleqa/">OpenAI's documentation</a>.</p></div></article></div></section><section class="container pt-4 pb-12 lg:pt-6 lg:pb-16"><div class="relative isolate mx-auto max-w-312 overflow-hidden"><img alt="" loading="lazy" decoding="async" data-nimg="fill" class="-z-10 object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent;background-size:cover;background-position:50% 50%;background-repeat:no-repeat;background-image:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 320 160'%3E%3Cfilter id='b' color-interpolation-filters='
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1<path fill="currentColor" fill-rule="evenodd" d="M3 14v-2h12v-2h2v2h2v2h-2v2h-2v-2zm10 4h2v-2h-2zm0 0h-2v2h2zm0-10h2v2h-2zm0 0h-2V6h2z" clip-rule="evenodd"></path></svg></span></span></div></div></a><a aria-label="Read How to migrate from Exa to Linkup" class="group grid w-full gap-3 border border-border-strong bg-background p-3 text-text-strong lg:max-w-102 lg:grid-rows-[auto_auto_1fr] lg:gap-6 lg:p-6" href="/blog/how-to-migrate-from-exa-to-linkup"><div class="hidden items-start justify-between leading-0 lg:flex"><p class="font-mono text-xs font-normal leading-[1.1] text-text-strong">Linkup vs. </p><p class="font-mono text-xs font-normal leading-[1.1] text-text-strong"><time dateTime="2026-09-23T12:19:00.000Z">Sep 23,2026</time></p></div><div class="relative aspect-[15/8] w-full overflow-hidden xl:h-48"><img alt="A search bar displays the text "Migrate from Exa to Linkup."" loading="lazy" class="h-full w-full object-cover" srcSet="https://cdn.sanity.io/images/fxvvc6rg/production/e02cf1e2a3381169bf9d64037e954d69b6b8e37f-1296x690.png?auto=format&crop=entropy&fit=crop&h=96&q=75&w=180 180w, https://cdn.sanity.io/images/fxvvc6rg/production/e02cf1e2a3381169bf9d64037e954d69b6b8e37f-1296x690.png?auto=format&crop=entropy&fit=crop&h=192&q=75&w=360 360w, https://cdn.sanity.io/images/fxvvc6rg/production/e02cf1e2a3381169bf9d64037e954d69b6b8e37f-1296x690.png?auto=format&crop=entropy&fit=crop&h=288&q=75&w=540 540w, https://cdn.sanity.io/images/fxvvc6rg/production/e02cf1e2a3381169bf9d64037e954d69b6b8e37f-1296x690.png?auto=format&crop=entropy&fit=crop&h=384&q=75&w=720 720w" src="https://cdn.sanity.io/images/fxvvc6rg/production/e02cf1e2a3381169bf9d64037e954d69b6b8e37f-1296x690.png?auto=format&crop=entropy&fit=crop&h=192&q=75&w=360" width="360" height="192"/></div><div class="grid gap-6"><h3 class="font-sans text-balance text-xl font-semibold leading-[1.1] text-text-strong lg:min-h-11">How to migrate from Exa to Linkup</h3><div class="hidden lg:flex lg:h-28 lg:flex-col lg:gap-3 lg:overflow-hidden"><p class="text-balance text-base font-normal leading-[1.2] text-text-strong line-clamp-4">If you built on Exa and need higher accuracy, lower cost, or enterprise compliance, the migration to Linkup takes under an hour.</p><div class="mt-auto flex h-8 items-center justify-between gap-3"><div class="flex h-full min-w-0 items-center"></div><span class="inline-flex items-center justify-center transition-transform duration-300 ease-in-out group-hover:translate-x-1"><span class="inline-flex shrink-0 items-center justify-center size-6 text-text-strong" aria-hidden="true"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" width="1em" height="1em" class="size-full" aria-hidden="true" focusable="false"><path fill="currentColor" fill-rule="evenodd" d="M3 14v-2h12v-2h2v2h2v2h-2v2h-2v-2zm10 4h2v-2h-2zm0 0h-2v2h2zm0-10h2v2h-2zm0 0h-2V6h2z" clip-rule="evenodd"></path></svg></span></span></div></div><div class="grid grid-cols-3 items-center gap-3 text-text-strong lg:hidden"><p class="font-mono text-xs font-normal leading-[1.1]">Linkup vs. </p><p class="text-center font-mono text-xs font-normal leading-[1.1]"><time dateTime="2026-09-23T12:19:00.000Z">Sep 23,2026</time></p><span class="inline-flex transform-gpu items-center justify-center justify-self-end transition-transform duration-300 ease-out will-change-transform group-hover:translate-x-1"><span class="inline-flex shrink-0 items-center justify-center size-6 text-text-strong" aria-hidden="true"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" width="1em" height="1em" class="size-full" aria-hidden="true" focusable="false"><path fill="currentColor" fill-rule="evenodd" d="M3 14v-2h12v-2h2v2h2v2h-2v2h-2v-2zm10 4h2v-2h-2zm0 0h-2v2h2zm0-10h2v2h-2zm0 0h-2V6h2z" clip-rule="evenodd"></path></svg></span></span></div></div></a><a aria-label="Read Introducing SPARSEUP by Linkup Research: a move towards more competitive open sparse models" class="group grid w-full gap-3 border border-border-strong bg-background p-3 text-text-strong lg:max-w-102 lg:grid-rows-[auto_auto_1fr] lg:gap-6 lg:p-6" href="/blog/introducing-sparseup-by-linkup"><div class="hidden items-start justify-between leading-0 lg:flex"><p class="font-mono text-xs font-normal leading-[1.1] text-text-strong">Product</p><p class="font-mono text-xs font-normal leading-[1.1] text-text-strong"><time dateTime="2026-09-17T11:49:59.668Z">Sep 17,2026</time></p></div><div class="relative aspect-[15/8] w-full overflow-hidden xl:h-48"><img alt="White text "linkup RESEARCH | SPARSEUP" and a geometric logo over a dense green pine forest." loading="lazy" class="h-full w-full object-cover" srcSet="https://cdn.sanity.io/images/fxvvc6rg/production/82b52c9f26ec7908611e0cd3ed447081338a635a-3840x2140.png?auto=format&crop=entropy&fit=crop&h=96&q=75&w=180 180w, https://cdn.sanity.io/images/fxvvc6rg/production/82b52c9f26ec7908611e0cd3ed447081338a635a-3840x2140.png?auto=format&crop=entropy&fit=crop&h=192&q=75&w=360 360w, https://cdn.sanity.io/images/fxvvc6rg/production/82b52c9f26ec7908611e0cd3ed447081338a635a-3840x2140.png?auto=format&crop=entropy&fit=crop&h=288&q=75&w=540 540w, https://cdn.sanity.io/images/fxvvc6rg/production/82b52c9f26ec7908611e0cd3ed447081338a635a-3840x2140.png?auto=format&crop=entropy&fit=crop&h=384&q=75&w=720 720w" src="https://cdn.sanity.io/images/fxvvc6rg/production/82b52c9f26ec7908611e0cd3ed447081338a635a-3840x2140.png?auto=format&crop=entropy&fit=crop&h=192&q=75&w=360" width="360" height="192"/></div><div class="grid gap-6"><h3 class="font-sans text-balance text-xl font-semibold leading-[1.1] text-text-strong lg:min-h-11">Introducing SPARSEUP by Linkup Research: a move towards more competitive open sparse models</h3><div class="hidden lg:flex lg:h-28 lg:flex-col lg:gap-3 lg:overflow-hidden"><p class="text-balance text-base font-normal leading-[1.2] text-text-strong line-clamp-4">Try SPARSEUP now on Hugging Face: Linkup-Platform/linkup-sparseup-embed-v1</p><div class="mt-auto flex h-8 items-center justify-between gap-3"><div class="flex h-full min-w-0 items-center"></div><span class="inline-flex items-center justify-center transition-transform duration-300 ease-in-out group-hover:translate-x-1"><span class="inline-flex shrink-0 items-center justify-center size-6 text-text-strong" aria-hidden="true"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" width="1em" height="1em" class="size-full" aria-hidden="true" focusable="false">
1<path fill="currentColor" fill-rule="evenodd" d="M3 14v-2h12v-2h2v2h2v2h-2v2h-2v-2zm10 4h2v-2h-2zm0 0h-2v2h2zm0-10h2v2h-2zm0 0h-2V6h2z" clip-rule="evenodd"></path></svg></span></span></div></div><div class="grid grid-cols-3 items-center gap-3 text-text-strong lg:hidden"><p class="font-mono text-xs font-normal leading-[1.1]">Product</p><p class="text-center font-mono text-xs font-normal leading-[1.1]"><time dateTime="2026-09-17T11:49:59.668Z">Sep 17,2026</time></p><span class="inline-flex transform-gpu items-center justify-center justify-self-end transition-transform duration-300 ease-out will-change-transform group-hover:translate-x-1"><span class="inline-flex shrink-0 items-center justify-center size-6 text-text-strong" aria-hidden="true"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" width="1em" height="1em" class="size-full" aria-hidden="true" focusable="false"><path fill="currentColor" fill-rule="evenodd" d="M3 14v-2h12v-2h2v2h2v2h-2v2h-2v-2zm10 4h2v-2h-2zm0 0h-2v2h2zm0-10h2v2h-2zm0 0h-2V6h2z" clip-rule="evenodd"></path></svg></span></span></div></div></a></div></div></section></div>
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