<!DOCTYPE html><html lang="en" class="anthropicsans_dce02d96-module__tEBbKW__variable anthropicserif_e7e46c4-module__uImRTq__variable anthropicmono_fae19af3-module__c5XAsG__variable copernicus_e225fe92-module__gIXlfG__variable styrenea_ba30709d-module__X1taUa__variable styreneb_ef815608-module__QsOdUa__variable tiempostext_b1e9a056-module__lQ_52W__variable jetbrainsmono_4a81325a-module__1wasHq__variable"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="preload" as="image" imageSrcSet="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2039cc549c023bc855671308211d20d3382828a9-2880x1620.jpg&amp;w=3840&amp;q=75 1x"/><link rel="preload" as="image" imageSrcSet="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F9941d610909f28a504e16dd5af823df172ec6035-2600x1234.png&amp;w=3840&amp;q=75 1x"/><link rel="preload" as="image" 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src="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F2039cc549c023bc855671308211d20d3382828a9-2880x1620.jpg&amp;w=3840&amp;q=75"/></div></div><div class="page-wrapper"><article><div class=""><div class="Body-module-scss-module__z40yvW__body" data-theme="ivory"><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">Claude Sonnet 5 is built to be the most agentic Sonnet model yet. It can make plans, use tools like browsers and terminals, and run autonomously at a level that, just a few months ago, required larger and more expensive models.</p><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">For many developers, the agentic AI era began with Sonnet-class models: Claude Sonnet 3.5, 3.6, and 3.7 were the first models that showed impressive skills in coding and tool use. More recently, though, the clearest gains in agentic capabilities have been in our Opus-class models.</p><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">Sonnet 5 narrows the gap: its performance is close to that of Opus 4.8, but at lower prices. It’s a substantial improvement over its predecessor, Sonnet 4.6, on important aspects of agentic performance like reasoning, tool use, coding, and knowledge work:</p><div class="Body-module-scss-module__z40yvW__media-column"><figure class="ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption"><img alt="Claude Sonnet 5 benchmark table" loading="eager" width="2600" height="1234" decoding="async" data-nimg="1" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F9941d610909f28a504e16dd5af823df172ec6035-2600x1234.png&amp;w=3840&amp;q=75 1x" src="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F9941d610909f28a504e16dd5af823df172ec6035-2600x1234.png&amp;w=3840&amp;q=75"/><figcaption class="caption"><em>Scores for Sonnet 5 on a variety of evaluations compared to those of Sonnet 4.6 and Opus 4.8 (a more generally capable model, for reference). The <a href="https://www.anthropic.com/claude-sonnet-5-system-card">Claude Sonnet 5 System Card</a> reports a broader set of evaluations in detail.</em></figcaption></figure></div><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">Our safety assessments found that Sonnet 5 shows an overall lower rate of undesirable behaviors than Sonnet 4.6, and is generally safer to use in agentic contexts. Evaluations also show that it has a much lower ability to perform cybersecurity tasks than our current Opus models.</p><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">From today, Claude Sonnet 5 is available across all plans: it is the default model for Free and Pro plans, and is available to Max, Team, and Enterprise users. It is priced at $2 per million input tokens and $10 per million output tokens. Developers can use <code class="InlineCodeBlock-module-scss-module__nsPAba__code">claude-sonnet-5</code> via the <a href="https://platform.claude.com/docs/en/about-claude/models/overview">Claude API</a>.</p><h2 class="Body-module-scss-module__z40yvW__reading-column headline-4 post-heading" id="working-with-claude-sonnet-5">Working with Claude Sonnet 5</h2><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">The charts below compare the performance of Sonnet 5 with Sonnet 4.6 and Opus 4.8 at different <a href="https://platform.claude.com/docs/en/build-with-claude/effort">effort</a> levels on the agentic search evaluation <a href="https://arxiv.org/abs/2504.12516">BrowseComp</a> and the computer use evaluation <a href="https://xlang.ai/blog/osworld-verified">OSWorld-Verified</a>. Sonnet 5 (orange line) is a strict improvement over Sonnet 4.6 (gray line) and covers a much wider range of cost-performance options than Opus 4.8 (yellow line). It provides substantially improved cost efficiency at medium effort; its higher-effort performance can match Opus 4.8 on some tasks. Between Sonnet 5 and Opus 4.8, users can adjust the effort level to find the right balance of cost and performance.</p><div class="Body-module-scss-module__z40yvW__media-column"><div class="MediaCarousel-module-scss-module__S2ancq__media-carousel"><div class="Tabs-module-scss-module__iIvFzq__tab-container" role="tablist" aria-label="Media carousel tabs"><button role="tab" aria-selected="true" aria-controls="panel-media-0" id="tab-media-0" class="Tabs-module-scss-module__iIvFzq__tab Tabs-module-scss-module__iIvFzq__active"><span class="caption">Agentic search</span></button><button role="tab" aria-selected="false" aria-controls="panel-media-1" id="tab-media-1" class="Tabs-module-scss-module__iIvFzq__tab"><span class="caption">Agentic computer use</span></button></div><div class="MediaCarousel-module-scss-module__S2ancq__media-container"><div class="MediaCarousel-module-scss-module__S2ancq__media-panel MediaCarousel-module-scss-module__S2ancq__active" role="tabpanel" id="media-panel-0" aria-labelledby="media-tab-0" aria-hidden="false"><figure class="ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption"><img alt="" loading="eager" width="3840" height="2160" decoding="async" data-nimg="1" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fcd0df787f39b6408dcba539fba93f817f2f3c0b4-3840x2160.png&amp;w=3840&amp;q=75 1x" src="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fcd0df787f39b6408dcba539fba93f817f2f3c0b4-3840x2160.png&amp;w=3840&amp;q=75"/><figcaption class="caption"><em>Cost-performance curves at different effort levels. The previous best Sonnet model (Sonnet 4.6) fell well short of Opus 4.8. Sonnet 5 offers a wider range of cost-performance options than Sonnet 4.6, and in some cases matches Opus 4.8’s capability levels. The charts show Sonnet 5 priced at $3 per million input tokens and $15 per million output tokens (existing standard pricing). Sonnet 5&#x27;s introductory pricing of $2/MTok input and $10/MTok output has since been made permanent, so its actual cost is lower than shown here. Opus 4.8 is priced at $5/MTok input and $25/MTok output. xhigh = extra high effort level.</em></figcaption></figure></div><div class="MediaCarousel-module-scss-module__S2ancq__media-panel" role="tabpanel" id="media-panel-1" aria-labelledby="media-tab-1" aria-hidden="true"><figure class="ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption"><img alt="" loading="eager" width="3840" height="2160" decoding="async" data-nimg="1" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd5c761e88dc46d7f79990dc2c4ad7a7cbaebdf3b-3840x2160.png&amp;w=3840&amp;q=75 1x" src="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd5c761e88dc46d7f79990dc2c4ad7a7cbaebdf3b-3840x2160.png&amp;w=3840&amp;q=75"/><figcaption class="caption"><em>Cost-performance curves at different effort levels. The previous best Sonnet model (Sonnet 4.6) fell well short of Opus 4.8. Sonnet 5 offers a wider range of cost-performance options than Sonnet 4.6, and in some cases matches Opus 4.8’s capability levels. The charts show Sonnet 5 priced at $3 per million input tokens and $15 per million output tokens (existing standard pricing). Sonnet 5&#x27;s introductory pricing of $2/MTok input and $10/MTok output has since been made permanent, so its actual cost is lower than shown here. Opus 4.8 is priced at $5/MTok input and $25/MTok output. xhigh = extra high effort level.</em></figcaption></figure></div></div></div></div><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">Feedback from our early access partners has been consistent: Sonnet 5 is much more agentic than its predecessors. Testers described how it finishes complex tasks where previous Sonnet models would stop short, how it checks its own output without explicitly being asked, and how it does all this agentic work at an attractive price point:</p><div class="Body-module-scss-module__z40yvW__media-column"><div class="Carousel-module-scss-module__hqckjG__carousel-wrapper"><div class="Carousel-module-scss-module__hqckjG__carousel-container"><div class="Carousel-module-scss-module__hqckjG__carousel-track"><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/18f900625532e1baaa3302bdf9539f73592bdf60-164x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">Claude Sonnet 5 gives our agents a strong execution layer for multi-step software engineering work. It handles sustained coding, tool use, and debugging well across messy technical contexts, and has been especially useful for workflows where follow-through and technical grounding matter.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Zimu Li</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Member of Technical Staff</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/f343481e6a953bc7b5390e6d9f61cf387c2ceb11-103x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">We handed Claude Sonnet 5 a two-part job—update Salesforce account tiers, send a launch announcement to enterprise contacts—and it finished end to end. That used to stall halfway. For day-to-day automation, it’s a no-brainer.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Daniel Shepard</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Senior Engineer</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/40a2a6a28afd8ac8fbf0e764b6bbf4ebf06a1977-133x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">Claude Sonnet 5 gets more done with less. Same output quality, fewer steps to get there. It refuses unsafe requests cleanly and consistently, too. At Lovable, we’re putting powerful tools in the hands of millions of builders. A model that knows when to say no is just as important as one that knows how to build.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Fabian Hedin</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Co-founder</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/73b380711885c6beb5270575119dbf31d7f71236-107x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 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class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">We ran Claude Sonnet 5 against dozens of our most challenging real pull requests, and it carried each one through to a tested, verified result on its own — freeing our engineers to focus on the judgment, the decision, and the final sign-off.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Yusuke Kaji</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">GM, AI for Business</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/0cd3307b18e36ea9146a2fa1cbcb2966c4ccfd36-107x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">I asked Claude Sonnet 5 to investigate a bug. Unprompted, it wrote a reproducing test, implemented the fix, then stashed it to confirm the bug came back without the change. All in a single pass.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Neel Chotai</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Rust Engineer and Software Engineer</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/f084c88e65466636019709c40cc477aadce2f718-151x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">With Claude Sonnet 5, agents stay on plan, follow our conventions, and ship clean multi-step changes, all at an efficient cost.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Sualeh Asif</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Co-founder</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/b6ba30deda95060f1a9ff19cf03b184d36529a2a-92x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">Claude Sonnet 5 is at its best on brownfield code—race conditions, hidden tests, the parts nobody wants to touch. It traces a failure to its actual root cause and ships a durable fix instead of patching the symptom.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Dominic Elm</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Founding Engineer</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/b130e0ceb83f1514a925c7dc93f9768ed60232e3-85x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">Claude Sonnet 5 sits on the Pareto frontier for Eve’s plaintiff-law tasks. We see the clearest gains in legal research and analysis, at a price-to-performance ratio that made the choice to migrate easy.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Mauricio Wulfovich</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Staff ML Engineer</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/d97a1e1d49be76a2b9cc3df04843793e9a803214-180x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">ClickHouse agents explore live data and produce insights on the fly, so time-to-insight matters when testing new models. Claude Sonnet 5 reasons in tighter steps and gets our users to answers noticeably faster. That speed is a difference our customers feel.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Ryadh Dahimene</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Director PM AI/ML</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/7504d4d2c41a3baa1ac5cb0d4e7bd19abc57e07d-105x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">At Pace, our computer-use agents run insurance workflows—submission intake, FNOL, loss runs—on the systems our operations teams already use. Claude Sonnet 5 consistently takes the right action and does it quickly, which is what real insurance work demands.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Eric He</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Member of Technical Staff</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/bf162513ba017e72d4e07b0cd7683b86c4c5bc88-60x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">For enterprise teams managing high-volume, complex workloads, Claude Sonnet 5 represents a genuine step forward — strong performance where it counts, with the speed and cost profile that makes scaling practical. On several complex tasks it exceeds the current frontier, while delivering fast responses at low costs. For enterprises running at scale, that&#x27;s a real operational win.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Ben Kus</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">Chief Technology Officer</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt=" logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/f0719d10f52d94453dfd4c51b4fb26395f277b25-111x64.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">Claude Sonnet 5 handled the full range of coding tasks we tested it on, while resolving more issues. It&#x27;s a meaningful improvement to both quality and efficiency.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Manav Khurana</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">CPMO</span></cite></footer></blockquote></div><div class="Carousel-module-scss-module__hqckjG__carousel-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium"><div class="QuoteCarousel-module-scss-module__XVJWRG__logo-container"><img alt="Kiro logo" loading="lazy" width="120" height="48" decoding="async" data-nimg="1" class="QuoteCarousel-module-scss-module__XVJWRG__company-logo" style="color:transparent" src="https://www-cdn.anthropic.com/images/4zrzovbb/website/cfaee5416044c0e687cf04a0fd1f3f3f26025dfc-125x32.svg"/></div><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 37 31"><path d="M16.7999 4.81642C14.2986 5.45109 12.1333 6.45909 10.3039 7.84042C8.51192 9.18442 7.13059 10.8644 6.15992 12.8804C5.18926 14.8964 4.70392 17.1738 4.70392 19.7124H3.47192C3.47192 18.1444 3.95726 16.8938 4.92792 15.9604C5.93592 14.9898 7.27992 14.5044 8.95992 14.5044C10.3786 14.5044 11.6853 14.8591 12.8799 15.5684C14.0746 16.2778 15.0266 17.2298 15.7359 18.4244C16.4453 19.6191 16.7999 20.9258 16.7999 22.3444C16.7999 23.7631 16.4453 25.0698 15.7359 26.2644C15.0266 27.4591 14.0746 28.4111 12.8799 29.1204C11.6853 29.8298 10.3786 30.1844 8.95992 30.1844C7.24259 30.1844 5.69326 29.7364 4.31192 28.8404C2.96792 27.9444 1.90392 26.6938 1.11992 25.0884C0.373255 23.4831 -7.79331e-05 21.6911 -7.79331e-05 19.7124C-7.79331e-05 16.3524 0.690589 13.3097 2.07192 10.5844C3.49059 7.82175 5.45059 5.54442 7.95192 3.75242C10.4906 1.92309 13.4399 0.672418 16.7999 0.000417709V4.81642ZM36.9599 4.81642C34.4586 5.45109 32.2933 6.45909 30.4639 7.84042C28.6719 9.18442 27.2906 10.8644 26.3199 12.8804C25.3493 14.8964 24.8639 17.1738 24.8639 19.7124H23.6319C23.6319 18.1444 24.1173 16.8938 25.0879 15.9604C26.0959 14.9898 27.4399 14.5044 29.1199 14.5044C30.5386 14.5044 31.8453 14.8591 33.0399 15.5684C34.2346 16.2778 35.1866 17.2298 35.8959 18.4244C36.6053 19.6191 36.9599 20.9258 36.9599 22.3444C36.9599 23.7631 36.6053 25.0698 35.8959 26.2644C35.1866 27.4591 34.2346 28.4111 33.0399 29.1204C31.8453 29.8298 30.5386 30.1844 29.1199 30.1844C27.4026 30.1844 25.8533 29.7364 24.4719 28.8404C23.1279 27.9444 22.0639 26.6938 21.2799 25.0884C20.5333 23.4831 20.1599 21.6911 20.1599 19.7124C20.1599 16.3524 20.8506 13.3097 22.2319 10.5844C23.6506 7.82175 25.6106 5.54442 28.1119 3.75242C30.6506 1.92309 33.5999 0.672418 36.9599 0.000417709V4.81642Z" fill="currentColor"></path></svg></div><blockquote class="QuoteCarousel-module-scss-module__XVJWRG__quote-content"><div class="QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif">Claude Sonnet 5 is a strong agentic-coding model, delivering top-tier accuracy comparable to Opus-class models and a clear step-function improvement over Sonnet 4.6. It conducts thorough explorations and sustains focus noticeably longer on complex tasks.</div><footer class="QuoteCarousel-module-scss-module__XVJWRG__quote-footer"><cite class="QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3"><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-name">Deepak Singh</span><br/><span class="QuoteCarousel-module-scss-module__XVJWRG__speaker-title">VP</span><span class="QuoteCarousel-module-scss-module__XVJWRG__separator">, </span><span class="QuoteCarousel-module-scss-module__XVJWRG__company-name">Kiro</span></cite></footer></blockquote></div></div></div><div class="Carousel-module-scss-module__hqckjG__carousel-controls body-3"><div class="Carousel-module-scss-module__hqckjG__counter"><span>01</span> /<!-- --> <!-- -->13</div><div class="Carousel-module-scss-module__hqckjG__arrow-controls"><button class="Carousel-module-scss-module__hqckjG__arrow-button Carousel-module-scss-module__hqckjG__arrow-prev" disabled="" aria-label="Previous quote"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 8 5"><path d="M7.3016 0.231808C7.44932 0.0678162 7.70306 0.0546398 7.86724 0.20212C8.03137 0.349888 8.04461 0.603568 7.89692 0.767766L4.29684 4.76791L4.23434 4.82417C4.16662 4.87328 4.08425 4.89995 3.99918 4.89995C3.88588 4.89989 3.77733 4.85213 3.70152 4.76791L0.10144 0.767766L0.0537825 0.702139C-0.040206 0.541753 -0.0124254 0.331356 0.131128 0.20212C0.274775 0.0728844 0.486972 0.0674593 0.636608 0.1779L0.696765 0.231808L3.99918 3.90148L7.3016 0.231808Z" fill="#141413"></path></svg></button><button class="Carousel-module-scss-module__hqckjG__arrow-button Carousel-module-scss-module__hqckjG__arrow-next" aria-label="Next quote"><svg class="Icon-module-scss-module__lqbdHG__icon" width="16" height="16" viewBox="0 0 8 5"><path d="M7.3016 0.231808C7.44932 0.0678162 7.70306 0.0546398 7.86724 0.20212C8.03137 0.349888 8.04461 0.603568 7.89692 0.767766L4.29684 4.76791L4.23434 4.82417C4.16662 4.87328 4.08425 4.89995 3.99918 4.89995C3.88588 4.89989 3.77733 4.85213 3.70152 4.76791L0.10144 0.767766L0.0537825 0.702139C-0.040206 0.541753 -0.0124254 0.331356 0.131128 0.20212C0.274775 0.0728844 0.486972 0.0674593 0.636608 0.1779L0.696765 0.231808L3.99918 3.90148L7.3016 0.231808Z" fill="#141413"></path></svg></button></div></div></div></div><h2 class="Body-module-scss-module__z40yvW__reading-column headline-4 post-heading" id="safety-evaluations">Safety evaluations</h2><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">Our pre-deployment safety evaluations found that Sonnet 5 was overall an improvement on Sonnet 4.6. On agentic safety, the model is better at refusing malicious requests and resisting hijack attempts in prompt injection attacks. The model shows lower rates of hallucination and sycophancy than Sonnet 4.6. On our automated behavioral audit, which tests a wide range of misaligned behaviors such as cooperation with misuse and deception, Sonnet 5 scored lower (that is, safer) overall. However, it did show somewhat higher rates of misaligned behavior on this assessment compared to the more capable Opus 4.8 and Claude Mythos Preview.</p><div class="Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline"><figure class="ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption"><img alt="Rates of misaligned behavior across Claude models" loading="lazy" width="3840" height="2160" decoding="async" data-nimg="1" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd018d76aa03c0ef18abc8a68de8f6fcd51c0a574-3840x2160.png&amp;w=3840&amp;q=75 1x" src="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fd018d76aa03c0ef18abc8a68de8f6fcd51c0a574-3840x2160.png&amp;w=3840&amp;q=75"/><figcaption class="caption"><em>Rates of misaligned behavior on our automated behavioral audit, which tests for a very wide range of undesirable behaviors across many situations and contexts (see Section 6.4 of the <a href="https://www.anthropic.com/claude-sonnet-5-system-card">Sonnet 5 System Card</a> for a complete list and results for each specific behavior). Sonnet 5 shows an overall lower rate of misaligned behavior than Sonnet 4.6, though a higher rate than Mythos Preview and Opus 4.8.</em></figcaption></figure></div><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">We did not deliberately train Sonnet 5 on cybersecurity tasks. It can perform some routine, non-harmful cyber tasks, but on evaluations testing potentially dangerous cyber skills, such as developing software exploits, it shows substantially poorer performance than models such as Opus 4.8 and Mythos 5. Scores from one evaluation, which tested models’ ability to develop exploits for vulnerabilities in the Firefox browser, are shown in the chart below. Sonnet 5 was never able to develop a full working exploit, but it does show a slightly higher rate of <em>partial</em> success than Sonnet 4.6. This latter change is likely due to improvements in general intelligence rather than specific training.</p><div class="Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline"><figure class="ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption"><img alt="Scores measuring Claude models’ success at developing exploits for software vulnerabilities in Firefox 147" loading="lazy" width="3840" height="2160" decoding="async" data-nimg="1" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fee9944c865937053bae293f057fffa478ee0f46b-3840x2160.png&amp;w=3840&amp;q=75 1x" src="/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Fee9944c865937053bae293f057fffa478ee0f46b-3840x2160.png&amp;w=3840&amp;q=75"/><figcaption class="caption"><em>Scores measuring models’ success at developing exploits for software vulnerabilities in Firefox 147 (this evaluation was developed <a href="https://www.anthropic.com/news/mozilla-firefox-security">in collaboration with Mozilla</a>; all vulnerabilities have been patched in Firefox 148). For each model, the left-hand bar shows how often the model (without safeguards) developed a working exploit; the right-hand bar shows how often the model had partial success. Neither of the Sonnet models could successfully develop a working exploit (both scored 0.0%); Sonnet 5 showed a slightly higher partial success rate than Sonnet 4.6. Both Sonnet models have substantially poorer cyber capabilities than Opus 4.8 and Mythos 5. For full details, see Section 3.2.4 of the <a href="https://www.anthropic.com/claude-sonnet-5-system-card">Sonnet 5 System Card</a>.</em></figcaption></figure></div><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">Since Sonnet 5 is somewhat stronger than its predecessor on these tasks, we’ve launched it with cyber safeguards enabled by default. These <a href="https://support.claude.com/en/articles/14604842-real-time-cyber-safeguards-on-claude">safeguards</a>—which detect and block dangerous cyber usage in real time—are the same as those present in Claude Opus 4.7 and 4.8 (because we judged that the overall level of cybersecurity risk from Sonnet 5 was low, the safeguards are less strict than those launched with Fable 5, which block a much wider range of cybersecurity tasks).<sup class="caption Body-module-scss-module__z40yvW__sup">1</sup></p><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">Our full assessment of Sonnet 5 across many safety and capability evaluations is reported in the <a href="https://www.anthropic.com/claude-sonnet-5-system-card">Claude Sonnet 5 System Card</a>.</p><h2 class="Body-module-scss-module__z40yvW__reading-column headline-4 post-heading" id="availability-and-pricing">Availability and pricing</h2><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">Claude Sonnet 5 is available everywhere today at $2 per million input tokens and $10 per million output tokens<sup class="caption Body-module-scss-module__z40yvW__sup">2</sup>. We’ve increased rate limits across Chat, Cowork, Claude Code, and the Claude Platform<sup class="caption Body-module-scss-module__z40yvW__sup">3</sup> to accommodate the higher token usage of higher effort levels; users can select whichever level makes sense for their particular project.</p><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text"></p><h4 class="Body-module-scss-module__z40yvW__reading-column headline-6 post-subsection" id="changelog">Changelog</h4><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text"><em>Edit August 10, 2026: </em>Sonnet 5&#x27;s introductory pricing of $2 per million input tokens and $10 per million output tokens is now permanent. The standard pricing of $3 input / $15 output previously set to take effect September 1 no longer applies. The pricing references in this post have been updated accordingly.</p><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text"><em></em></p><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text"><em>Edit June 30, 2026:</em> In the original version of this post, we included a cost-performance chart for the BrowseComp evaluation that was based on data from a simpler methodology that did not reflect the <a href="https://platform.claude.com/cookbook/evals-agentic-search-reproduce-agentic-search-benchmarks">standard methodology</a> we use for agentic search evaluations. This had the result of underestimating Sonnet 5&#x27;s performance on the evaluation.</p><p class="Body-module-scss-module__z40yvW__reading-column body-2 serif post-text">We have now updated the chart so that it matches the methodology that we used and discussed in the <a href="https://www-cdn.anthropic.com/9e6a1044980d8c4ed85669faf9c2a8342e2e9f1e/Claude%20Sonnet%205%20System%20Card.pdf">Sonnet 5 system card</a> (which used a 10M token budget with compaction and programmatic tool calling). We have also updated the surrounding text.</p></div></div></article></div><div class="page-wrapper PostDetail-module-scss-module__UQuRMa__postFooter"><div class="PostDetail-module-scss-module__UQuRMa__footnotes"><h4 class="headline-5">Footnotes</h4><p><sup>1 </sup>Sonnet 5 is part of our <a href="https://support.claude.com/en/articles/14604842-real-time-cyber-safeguards-on-claude">Cyber Verification Program</a>, which is available today on the native Claude Platform, the Claude Platform on AWS, and Claude in Microsoft Foundry (hosted on Azure and Anthropic), and coming soon on Claude in Google Vertex. Organizations that are already enrolled in the Cyber Verification Program automatically have the same access on Sonnet 5, with no need to reapply. Overall, we recommend Claude Opus 4.8 for cybersecurity work that requires reduced guardrails.</p><p><sup>2 </sup>Sonnet 5 is an upgrade to Sonnet 4.6, but it uses an updated tokenizer that changes how the model processes text to improve performance (this is similar to the tokenizer change we introduced with Claude Opus 4.7). The tradeoff is that the same input can map to more tokens: roughly 1.0–1.35× depending on the content type.</p><p><sup>3 </sup>On April 26, 2026, we raised Sonnet and Haiku rate limits at every usage tier and simplified to three tiers (Start, Build, and Scale) on the native Claude Platform. You can view your tier and current limits in the <a href="https://platform.claude.com/settings/limits">Claude Console</a> or read the <a href="https://platform.claude.com/docs/en/api/rate-limits">documentation</a> to learn more.</p><ul><li><strong>Humanity’s Last Exam:</strong> We updated the grader model for Humanity’s Last Exam and have updated the Sonnet 4.6 score to 34.6% (no tools) and 46.8% (with tools). This is the reason the score differs from that reported in the <a href="https://www.anthropic.com/news/claude-sonnet-4-6">Sonnet 4.6 launch blog</a>.</li><li><strong>OSWorld-Verified:</strong> We made changes to how we run the OSWorld-Verified evaluation to more accurately reflect the model’s performance in the real world, and have updated the Sonnet 4.6 score to 78.5%. This is the reason the score differs from that reported in the <a href="https://www.anthropic.com/news/claude-sonnet-4-6">Sonnet 4.6 launch blog</a>.</li></ul></div><div class="PostDetail-module-scss-module__UQuRMa__socialShare"><a href="https://twitter.com/intent/tweet?text=https://www.anthropic.com/news/claude-sonnet-5" target="_blank" rel="noopener" aria-label="Share on Twitter"><svg class="Icon-module-scss-module__lqbdHG__icon" width="32" height="32" viewBox="0 0 32 32"><path d="M28 28L18.6145 14.0124L18.6305 14.0255L27.0929 4H24.265L17.3713 12.16L11.8968 4H4.48021L13.2425 17.0593L13.2414 17.0582L4 28H6.82792L14.4921 18.9215L20.5834 28H28ZM10.7763 6.18182L23.9449 25.8182H21.7039L8.52468 6.18182H10.7763Z" fill="#191919"></path></svg></a><a href="https://www.linkedin.com/shareArticle?mini=true&amp;url=https://www.anthropic.com/news/claude-sonnet-5" target="_blank" rel="noopener" aria-label="Share on LinkedIn"><svg class="Icon-module-scss-module__lqbdHG__icon" width="32" height="32" viewBox="0 0 32 32"><path d="M25.8182 4H6.18182C4.97636 4 4 4.97636 4 6.18182V25.8182C4 27.0236 4.97636 28 6.18182 28H25.8182C27.0236 28 28 27.0236 28 25.8182V6.18182C28 4.97636 27.0236 4 25.8182 4ZM11.5862 23.6364H8.368V13.2815H11.5862V23.6364ZM9.94436 11.8011C8.90691 11.8011 8.068 10.96 8.068 9.92473C8.068 8.88945 8.908 8.04945 9.94436 8.04945C10.9785 8.04945 11.8196 8.89055 11.8196 9.92473C11.8196 10.96 10.9785 11.8011 9.94436 11.8011ZM23.6407 23.6364H20.4247V18.6007C20.4247 17.3996 20.4029 15.8549 18.7524 15.8549C17.0778 15.8549 16.8204 17.1629 16.8204 18.5135V23.6364H13.6044V13.2815H16.6916V14.6964H16.7353C17.1651 13.8825 18.2145 13.024 19.78 13.024C23.0385 13.024 23.6407 15.1687 23.6407 17.9571V23.6364Z" fill="#141413"></path></svg></a></div></div><section class="LandingPageSection-module-scss-module__ZSMdoa__root" data-theme="ivory"><div class="page-wrapper"><div class="SectionIntro-module-scss-module__i9TRza__root LinkGrid-module-scss-module__wTN57W__intro"><h2 class="headline-4 SectionIntro-module-scss-module__i9TRza__title">Related content</h2></div><div class="LinkGrid-module-scss-module__wTN57W__root"><div class="LinkGrid-module-scss-module__wTN57W__items LinkGrid-module-scss-module__wTN57W__threeItems"><div class="LinkGrid-module-scss-module__wTN57W__item"><h3 class="headline-6"> Claude discovers a novel enzyme system with CRISPR-like repeats</h3><p class="body-3 serif">We’re announcing a new life sciences research group and laboratory at Anthropic. This post introduces the team behind this work and shares early results in which Claude discovered a novel enzyme system with properties reminiscent of CRISPR, with only high-level direction from our scientists.</p><a href="/news/claude-discovers-novel-enzyme-system" class="ButtonTextLink-module-scss-module__q8IAwW__textLink LinkGrid-module-scss-module__wTN57W__cta" referrerPolicy="no-referrer-when-downgrade"><span class="body-3">Read more</span><span class="ButtonTextLink-module-scss-module__q8IAwW__icon"><svg class="Icon-module-scss-module__lqbdHG__icon" width="20" height="20" viewBox="0 0 21 21"><path d="M4.14585 9.87492L14.4584 9.87492L9.60419 5.04158L10.5 4.14575L16.8542 10.4999L10.5 16.8541L9.60419 15.9583L14.4584 11.1249L4.14585 11.1249L4.14585 9.87492Z" fill="currentColor"></path></svg></span></a></div><div class="LinkGrid-module-scss-module__wTN57W__item"><h3 class="headline-6"> Partnering with Accenture on embedded evaluation</h3><a href="/news/accenture-embedded-evaluation" class="ButtonTextLink-module-scss-module__q8IAwW__textLink LinkGrid-module-scss-module__wTN57W__cta" referrerPolicy="no-referrer-when-downgrade"><span class="body-3">Read more</span><span class="ButtonTextLink-module-scss-module__q8IAwW__icon"><svg class="Icon-module-scss-module__lqbdHG__icon" width="20" height="20" viewBox="0 0 21 21"><path d="M4.14585 9.87492L14.4584 9.87492L9.60419 5.04158L10.5 4.14575L16.8542 10.4999L10.5 16.8541L9.60419 15.9583L14.4584 11.1249L4.14585 11.1249L4.14585 9.87492Z" fill="currentColor"></path></svg></span></a></div><div class="LinkGrid-module-scss-module__wTN57W__item"><h3 class="headline-6">Introducing the Life Sciences Verification Program</h3><p class="body-3 serif">The Life Sciences Verification Program (LSVP) gives life science professionals access to Claude Mythos, Opus, and Sonnet models with a refined set of safeguards more permissive for biology-related work.</p><a href="/news/life-sciences-verification-program" 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It can make plans, use tools like browsers and terminals, and run autonomously at a level that, just a few months ago, required larger and more expensive models.\"}],\"markDefs\":[],\"style\":\"normal\"},{\"_key\":\"cb6c4c048a5d\",\"_type\":\"block\",\"children\":[{\"_key\":\"3f5c8f39c23e\",\"_type\":\"span\",\"marks\":[],\"text\":\"For many developers, the agentic AI era began with Sonnet-class models: Claude Sonnet 3.5, 3.6, and 3.7 were the first models that showed impressive skills in coding and tool use. More recently, though, the clearest gains in agentic capabilities have been in our Opus-class models.\"}],\"markDefs\":[],\"style\":\"normal\"},{\"_key\":\"ffd8ee7490a7\",\"_type\":\"block\",\"children\":[{\"_key\":\"9553aa81b669\",\"_type\":\"span\",\"marks\":[],\"text\":\"Sonnet 5 narrows the gap: its performance is close to that of Opus 4.8, but at lower prices. 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It conducts thorough explorations and sustains focus noticeably longer on complex tasks.\"}],\"style\":\"normal\"}],\"speakerName\":\"Deepak Singh\",\"speakerTitle\":\"VP\"}]},{\"_key\":\"6f7654cc4e85\",\"_type\":\"block\",\"children\":[{\"_key\":\"e744b9718367\",\"_type\":\"span\",\"marks\":[],\"text\":\"Safety evaluations\"}],\"markDefs\":[],\"style\":\"h2\"},{\"_key\":\"febb414c31e5\",\"_type\":\"block\",\"children\":[{\"_key\":\"f360aeb188cc\",\"_type\":\"span\",\"marks\":[],\"text\":\"Our pre-deployment safety evaluations found that Sonnet 5 was overall an improvement on Sonnet 4.6. On agentic safety, the model is better at refusing malicious requests and resisting hijack attempts in prompt injection attacks. The model shows lower rates of hallucination and sycophancy than Sonnet 4.6. On our automated behavioral audit, which tests a wide range of misaligned behaviors such as cooperation with misuse and deception, Sonnet 5 scored lower (that is, safer) overall. However, it did show somewhat higher rates of misaligned behavior on this assessment compared to the more capable Opus 4.8 and Claude Mythos Preview.\"}],\"markDefs\":[],\"style\":\"normal\"},{\"_key\":\"7d9e08ba6a1d\",\"_type\":\"image\",\"asset\":{\"_ref\":\"image-d018d76aa03c0ef18abc8a68de8f6fcd51c0a574-3840x2160-png\",\"_type\":\"reference\"},\"caption\":[{\"_key\":\"a93712fc6458\",\"_type\":\"block\",\"children\":[{\"_key\":\"75d455b352f5\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\"Rates of misaligned behavior on our automated behavioral audit, which tests for a very wide range of undesirable behaviors across many situations and contexts (see Section 6.4 of the \"},{\"_key\":\"14a53fda8be0\",\"_type\":\"span\",\"marks\":[\"2dec08f6ab81\",\"em\"],\"text\":\"Sonnet 5 System Card\"},{\"_key\":\"87ae8a89bb35\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\" for a complete list and results for each specific behavior). Sonnet 5 shows an overall lower rate of misaligned behavior than Sonnet 4.6, though a higher rate than Mythos Preview and Opus 4.8.\"}],\"markDefs\":[{\"_key\":\"2dec08f6ab81\",\"_type\":\"link\",\"href\":\"https://www.anthropic.com/claude-sonnet-5-system-card\"}],\"style\":\"normal\"}],\"columnWidth\":\"inline-width\",\"description\":\"Rates of misaligned behavior across Claude models\",\"height\":2160,\"markDefs\":null,\"url\":\"https://cdn.sanity.io/images/4zrzovbb/website/d018d76aa03c0ef18abc8a68de8f6fcd51c0a574-3840x2160.png\",\"width\":3840},{\"_key\":\"1d6ff9b4e541\",\"_type\":\"block\",\"children\":[{\"_key\":\"497726d6842a\",\"_type\":\"span\",\"marks\":[],\"text\":\"We did not deliberately train Sonnet 5 on cybersecurity tasks. It can perform some routine, non-harmful cyber tasks, but on evaluations testing potentially dangerous cyber skills, such as developing software exploits, it shows substantially poorer performance than models such as Opus 4.8 and Mythos 5. Scores from one evaluation, which tested models’ ability to develop exploits for vulnerabilities in the Firefox browser, are shown in the chart below. Sonnet 5 was never able to develop a full working exploit, but it does show a slightly higher rate of \"},{\"_key\":\"065226e66861\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\"partial\"},{\"_key\":\"4f218b0eb007\",\"_type\":\"span\",\"marks\":[],\"text\":\" success than Sonnet 4.6. This latter change is likely due to improvements in general intelligence rather than specific training.\"}],\"markDefs\":[],\"style\":\"normal\"},{\"_key\":\"9c3cae87a7d4\",\"_type\":\"image\",\"asset\":{\"_ref\":\"image-ee9944c865937053bae293f057fffa478ee0f46b-3840x2160-png\",\"_type\":\"reference\"},\"caption\":[{\"_key\":\"11b3ccefa3ff\",\"_type\":\"block\",\"children\":[{\"_key\":\"847a44eb71ed\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\"Scores measuring models’ success at developing exploits for software vulnerabilities in Firefox 147 (this evaluation was developed \"},{\"_key\":\"d02f049799bd\",\"_type\":\"span\",\"marks\":[\"ce15cadb9a93\",\"em\"],\"text\":\"in collaboration with Mozilla\"},{\"_key\":\"630f9536844f\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\"; all vulnerabilities have been patched in Firefox 148). For each model, the left-hand bar shows how often the model (without safeguards) developed a working exploit; the right-hand bar shows how often the model had partial success. Neither of the Sonnet models could successfully develop a working exploit (both scored 0.0%); Sonnet 5 showed a slightly higher partial success rate than Sonnet 4.6. Both Sonnet models have substantially poorer cyber capabilities than Opus 4.8 and Mythos 5. For full details, see Section 3.2.4 of the \"},{\"_key\":\"6af9d1bd5ad7\",\"_type\":\"span\",\"marks\":[\"0a2ba0806a32\",\"em\"],\"text\":\"Sonnet 5 System Card\"},{\"_key\":\"5aed6c6fb42d\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\".\"}],\"markDefs\":[{\"_key\":\"ce15cadb9a93\",\"_type\":\"link\",\"href\":\"https://www.anthropic.com/news/mozilla-firefox-security\"},{\"_key\":\"0a2ba0806a32\",\"_type\":\"link\",\"href\":\"https://www.anthropic.com/claude-sonnet-5-system-card\"}],\"style\":\"normal\"}],\"columnWidth\":\"inline-width\",\"description\":\"Scores measuring Claude models’ success at developing exploits for software vulnerabilities in Firefox 147\",\"height\":2160,\"markDefs\":null,\"url\":\"https://cdn.sanity.io/images/4zrzovbb/website/ee9944c865937053bae293f057fffa478ee0f46b-3840x2160.png\",\"width\":3840},{\"_key\":\"407f2282c43a\",\"_type\":\"block\",\"children\":[{\"_key\":\"50a7a628c246\",\"_type\":\"span\",\"marks\":[],\"text\":\"Since Sonnet 5 is somewhat stronger than its predecessor on these tasks, we’ve launched it with cyber safeguards enabled by default. These \"},{\"_key\":\"6d2426310a2a\",\"_type\":\"span\",\"marks\":[\"4f1397dabed9\"],\"text\":\"safeguards\"},{\"_key\":\"3a3826ba40e8\",\"_type\":\"span\",\"marks\":[],\"text\":\"—which detect and block dangerous cyber usage in real time—are the same as those present in Claude Opus 4.7 and 4.8 (because we judged that the overall level of cybersecurity risk from Sonnet 5 was low, the safeguards are less strict than those launched with Fable 5, which block a much wider range of cybersecurity tasks).\"},{\"_key\":\"fafea525f484\",\"_type\":\"span\",\"marks\":[\"sup\"],\"text\":\"1\"}],\"markDefs\":[{\"_key\":\"4f1397dabed9\",\"_type\":\"link\",\"href\":\"https://support.claude.com/en/articles/14604842-real-time-cyber-safeguards-on-claude\"}],\"style\":\"normal\"},{\"_key\":\"deaaf122b33b\",\"_type\":\"block\",\"children\":[{\"_key\":\"514a0b9f2a42\",\"_type\":\"span\",\"marks\":[],\"text\":\"Our full assessment of Sonnet 5 across many safety and capability evaluations is reported in the \"},{\"_key\":\"572f80d56972\",\"_type\":\"span\",\"marks\":[\"ba200da4f7c7\"],\"text\":\"Claude Sonnet 5 System Card\"},{\"_key\":\"d0c2211ffdff\",\"_type\":\"span\",\"marks\":[],\"text\":\".\"}],\"markDefs\":[{\"_key\":\"ba200da4f7c7\",\"_type\":\"link\",\"href\":\"https://www.anthropic.com/claude-sonnet-5-system-card\"}],\"style\":\"normal\"},{\"_key\":\"17a75f71324f\",\"_type\":\"block\",\"children\":[{\"_key\":\"76813e3a1d26\",\"_type\":\"span\",\"marks\":[],\"text\":\"Availability and pricing\"}],\"markDefs\":[],\"style\":\"h2\"},{\"_key\":\"be3256af2b93\",\"_type\":\"block\",\"children\":[{\"_key\":\"e8bbbebd4534\",\"_type\":\"span\",\"marks\":[],\"text\":\"Claude Sonnet 5 is available everywhere today at $2 per million input tokens and $10 per million output tokens\"},{\"_key\":\"cdb2f1537da1\",\"_type\":\"span\",\"marks\":[\"sup\"],\"text\":\"2\"},{\"_key\":\"de31d19ea19b\",\"_type\":\"span\",\"marks\":[],\"text\":\". We’ve increased rate limits across Chat, Cowork, Claude Code, and the Claude Platform\"},{\"_key\":\"19e35990c863\",\"_type\":\"span\",\"marks\":[\"sup\"],\"text\":\"3\"},{\"_key\":\"7e249bc9ec47\",\"_type\":\"span\",\"marks\":[],\"text\":\" to accommodate the higher token usage of higher effort levels; users can select whichever level makes sense for their particular project.\"}],\"markDefs\":[],\"style\":\"normal\"},{\"_key\":\"f8c87438107a\",\"_type\":\"block\",\"children\":[{\"_key\":\"0e3f45193414\",\"_type\":\"span\",\"marks\":[],\"text\":\"\"}],\"markDefs\":[],\"style\":\"normal\"},{\"_key\":\"52e819dd8ae7\",\"_type\":\"block\",\"children\":[{\"_key\":\"8591648a4051\",\"_type\":\"span\",\"marks\":[],\"text\":\"Changelog\"}],\"markDefs\":[],\"style\":\"h4\"},{\"_key\":\"9f2078335c51\",\"_type\":\"block\",\"children\":[{\"_key\":\"b33c1631b0db\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\"Edit August 10, 2026: \"},{\"_key\":\"d24daccb7e19\",\"_type\":\"span\",\"marks\":[],\"text\":\"Sonnet 5's introductory pricing of $2 per million input tokens and $10 per million output tokens is now permanent. The standard pricing of $3 input / $15 output previously set to take effect September 1 no longer applies. The pricing references in this post have been updated accordingly.\"}],\"markDefs\":[],\"style\":\"normal\"},{\"_key\":\"44d9820bea8f\",\"_type\":\"block\",\"children\":[{\"_key\":\"e85dd6f2bf4d\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\"\"}],\"markDefs\":[],\"style\":\"normal\"},{\"_key\":\"97aaf7419857\",\"_type\":\"block\",\"children\":[{\"_key\":\"dfe27849b567\",\"_type\":\"span\",\"marks\":[\"em\"],\"text\":\"Edit June 30, 2026:\"},{\"_key\":\"0c95bb38b915\",\"_type\":\"span\",\"marks\":[],\"text\":\" In the original version of this post, we included a cost-performance chart for the BrowseComp evaluation that was based on data from a simpler methodology that did not reflect the \"},{\"_key\":\"210a04aa0e12\",\"_type\":\"span\",\"marks\":[\"076cf7c9ee15\"],\"text\":\"standard methodology\"},{\"_key\":\"f4b3ea7b1fad\",\"_type\":\"span\",\"marks\":[],\"text\":\" we use for agentic search evaluations. This had the result of underestimating Sonnet 5's performance on the evaluation.\"}],\"markDefs\":[{\"_key\":\"076cf7c9ee15\",\"_type\":\"link\",\"href\":\"https://platform.claude.com/cookbook/evals-agentic-search-reproduce-agentic-search-benchmarks\"}],\"style\":\"normal\"},{\"_key\":\"c9fd8fb42da2\",\"_type\":\"block\",\"children\":[{\"_key\":\"6d9157204ef2\",\"_type\":\"span\",\"marks\":[],\"text\":\"We have now updated the chart so that it matches the methodology that we used and discussed in the \"},{\"_key\":\"abebbd4ecac9\",\"_type\":\"span\",\"marks\":[\"1ca43852e20c\"],\"text\":\"Sonnet 5 system card\"},{\"_key\":\"f7257e5f4b74\",\"_type\":\"span\",\"marks\":[],\"text\":\" (which used a 10M token budget with compaction and programmatic tool calling). We have also updated the surrounding text.\"}],\"markDefs\":[{\"_key\":\"1ca43852e20c\",\"_type\":\"link\",\"href\":\"https://www-cdn.anthropic.com/9e6a1044980d8c4ed85669faf9c2a8342e2e9f1e/Claude%20Sonnet%205%20System%20Card.pdf\"}],\"style\":\"normal\"}],\"footnotes\":{\"body\":\"$19:props:children:props:children:1:props:children:props:body\",\"count\":0,\"numberByListItemKey\":{},\"referenced\":\"$W1e\"},\"sidebar\":{\"isVisible\":false}}]}],\"$L1f\",\"$L20\",\"$L21\"]}]}]\n1a:[\"$\",\"footer\",null,{\"id\":\"footer\",\"className\":\"SiteFooter-module-scss-module__JdOqwq__root\",\"role\":\"contentinfo\",\"aria-label\":\"Site footer\",\"children\":[\"$\",\"div\",null,{\"className\":\"page-wrapper SiteFooter-module-scss-module__JdOqwq__footer\",\"children\":[[\"$\",\"div\",null,{\"className\":\"SiteFooter-module-scss-module__JdOqwq__logoWrapper\",\"children\":[\"$\",\"a\",null,{\"href\":\"/\",\"aria-label\":\"Return to 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