fix(route/anthropic): update selectors

[TonyRL]

Involved Issue / 该 PR 相关 Issue

Close #21199

Example for the Proposed Route(s) / 路由地址示例

/anthropic/news

New RSS Route Checklist / 新 RSS 路由检查表

• New Route / 新的路由
  • Follows Script Standard / 跟随 路由规范
• Anti-bot or rate limit / 反爬/频率限制
  • If yes, do your code reflect this sign? / 如果有, 是否有对应的措施?
• Date and time / 日期和时间
  • Parsed / 可以解析
  • Correct time zone / 时区正确
• New package added / 添加了新的包
• Puppeteer

Note / 说明

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Related Documentation

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Pull request overview

This pull request fixes the broken Anthropic news route (issue #21199) by updating CSS selectors to match the current website structure. The Anthropic website appears to have undergone a redesign with CSS modules, requiring selector updates to properly extract news items and their metadata.

Changes:

• Updated CSS selectors to work with the redesigned Anthropic news page using CSS module class patterns
• Modified date extraction to use <time> element instead of previous paragraph-based selectors
• Simplified content cleanup selectors to use more flexible wildcard patterns

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Successfully generated as following:

http://localhost:1200/anthropic/news - Success ✔️

<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0">
  <channel>
    <title>Anthropic News</title>
    <link>https://www.anthropic.com/news</link>
    <atom:link href="http://localhost:1200/anthropic/news" rel="self" type="application/rss+xml"></atom:link>
    <description>Latest news from Anthropic - Powered by RSSHub</description>
    <generator>RSSHub</generator>
    <webMaster>contact@rsshub.app (RSSHub)</webMaster>
    <language>en</language>
    <lastBuildDate>Sat, 21 Feb 2026 16:38:09 GMT</lastBuildDate>
    <ttl>5</ttl>
    <item>
      <title>Making frontier cybersecurity capabilities available to defenders</title>
      <description>&lt;article&gt;&lt;div class=&quot;page-wrapper PostDetail-module-scss-module__UQuRMa__hero&quot;&gt;&lt;div class=&quot;PostDetail-module-scss-module__UQuRMa__illustrationHeroWrapper&quot;&gt;&lt;div class=&quot;Illustration-module-scss-module__WyGOtq__root Illustration-module-scss-module__WyGOtq__aspect-wide Illustration-module-scss-module__WyGOtq__padding-lg Illustration-module-scss-module__WyGOtq__radius-lg bg-clay&quot;&gt;&lt;div class=&quot;Illustration-module-scss-module__WyGOtq__inner&quot;&gt;&lt;img alt=&quot;Making frontier cybersecurity capabilities available to defenders&quot; loading=&quot;lazy&quot; width=&quot;1000&quot; height=&quot;1000&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; class=&quot;&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/802260d34a0653f23fd4944fae43064df367aa44-1000x1000.svg&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;page-wrapper&quot;&gt;&lt;article&gt;&lt;div class=&quot;&quot;&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__body&quot; data-theme=&quot;ivory&quot;&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;&lt;strong&gt;Claude Code Security&lt;/strong&gt;, a new capability built into Claude Code on the web, is now available in a limited research preview. It scans codebases for security vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix security issues that traditional methods often miss.&lt;br&gt;&lt;br&gt;Security teams face a common challenge: too many software vulnerabilities and not enough people to address them. Existing analysis tools help, but only to a point, as they usually look for known patterns. Finding the subtle, context-dependent vulnerabilities that are often exploited by attackers requires skilled human researchers, who are dealing with ever-expanding backlogs.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;AI is beginning to change that calculus. We’ve recently shown that &lt;a href=&quot;https://red.anthropic.com/2026/zero-days/&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;Claude can detect novel, high-severity vulnerabilities&lt;/a&gt;. But the same capabilities that help defenders find and fix vulnerabilities could help attackers exploit them.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Claude Code Security is intended to put this power squarely in the hands of defenders and protect code against this new category of AI-enabled attack. We’re releasing it as a limited research preview to Enterprise and Team customers, with expedited access for maintainers of open-source repositories, so we can work together to refine its capabilities and ensure it is deployed responsibly.&lt;/p&gt;&lt;h2 class=&quot;Body-module-scss-module__z40yvW__reading-column headline-4 post-heading&quot; id=&quot;how-claude-code-security-works&quot;&gt;&lt;strong&gt;How Claude Code Security works&lt;/strong&gt;&lt;/h2&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline&quot;&gt;&lt;div class=&quot;Video-module-scss-module__qJNyFq__post-wrapper&quot;&gt;&lt;figure class=&quot;Video-module-scss-module__qJNyFq__post-video-container&quot;&gt;&lt;!--$!--&gt;&lt;template data-dgst=&quot;BAILOUT_TO_CLIENT_SIDE_RENDERING&quot;&gt;&lt;/template&gt;&lt;!--/$--&gt;&lt;/figure&gt;&lt;/div&gt;&lt;/div&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Static analysis—a widely deployed form of automated security testing—is typically rule-based, meaning it matches code against known vulnerability patterns. That catches common issues, like exposed passwords or outdated encryption, but often misses more complex vulnerabilities, like flaws in business logic or broken access control.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Rather than scanning for known patterns, Claude Code Security reads and reasons about your code the way a human security researcher would: understanding how components interact, tracing how data moves through your application, and catching complex vulnerabilities that rule-based tools miss.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Every finding goes through a multi-stage verification process before it reaches an analyst. Claude re-examines each result, attempting to prove or disprove its own findings and filter out false positives. Findings are also assigned severity ratings so teams can focus on the most important fixes first.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Validated findings appear in the Claude Code Security dashboard, where teams can review them, inspect the suggested patches, and approve fixes. Because these issues often involve nuances that are difficult to assess from source code alone, Claude also provides a confidence rating for each finding. Nothing is applied without human approval: Claude Code Security identifies problems and suggests solutions, but developers always make the call.&lt;/p&gt;&lt;h2 class=&quot;Body-module-scss-module__z40yvW__reading-column headline-4 post-heading&quot; id=&quot;using-claude-for-cybersecurity&quot;&gt;&lt;strong&gt;Using Claude for cybersecurity&lt;/strong&gt;&lt;/h2&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Claude Code Security builds on more than a year of research into Claude’s cybersecurity capabilities. Our Frontier Red Team has been stress-testing these abilities systematically: entering Claude in &lt;a href=&quot;https://red.anthropic.com/2025/ai-for-cyber-defenders/&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;competitive Capture-the-Flag events&lt;/a&gt;, partnering with Pacific Northwest National Laboratory to &lt;a href=&quot;https://red.anthropic.com/2026/critical-infrastructure-defense/&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;experiment with using AI to defend critical infrastructure&lt;/a&gt;, and refining Claude’s ability to find and patch real vulnerabilities in code.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Claude’s cyberdefensive abilities have improved substantially as a result. Using &lt;a href=&quot;https://www.anthropic.com/news/claude-opus-4-6&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;Claude Opus 4.6&lt;/a&gt;, released earlier this month, our team &lt;a href=&quot;https://red.anthropic.com/2026/zero-days/&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;found over 500 vulnerabilities&lt;/a&gt; in production open-source codebases—bugs that had gone undetected for decades, despite years of expert review. We’re working through triage and responsible disclosure with maintainers now, and we plan to expand our security work with the open-source community.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;We also use Claude to review our own code, and we’ve found it to be extremely effective at securing Anthropic’s systems. We built Claude Code Security to make those same defensive capabilities more widely available. And since it’s built on Claude Code, teams can review findings and iterate on fixes within the tools they already use.&lt;/p&gt;&lt;h2 class=&quot;Body-module-scss-module__z40yvW__reading-column headline-4 post-heading&quot; id=&quot;the-road-ahead&quot;&gt;&lt;strong&gt;The road ahead&lt;/strong&gt;&lt;/h2&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;This is a pivotal time for cybersecurity. We expect that a significant share of the world’s code will be scanned by AI in the near future, given how effective models have become at finding long-hidden bugs and security issues.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Attackers will use AI to find exploitable weaknesses faster than ever. But defenders who move quickly can find those same weaknesses, patch them, and reduce the risk of an attack. Claude Code Security is one step towards our goal of more secure codebases and a higher security baseline across the industry.&lt;/p&gt;&lt;h2 class=&quot;Body-module-scss-module__z40yvW__reading-column headline-4 post-heading&quot; id=&quot;getting-started&quot;&gt;&lt;strong&gt;Getting started&lt;/strong&gt;&lt;/h2&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;We’re opening a limited research preview of Claude Code Security to Enterprise and Team customers today. Participants will get early access and collaborate directly with our team to hone the tool’s capabilities. We also encourage open-source maintainers to apply for free, expedited access.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;&lt;a href=&quot;https://claude.com/contact-sales/security&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;Apply for access here&lt;/a&gt;.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;To learn more, visit &lt;a href=&quot;http://claude.com/solutions/claude-code-security&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;claude.com/solutions/claude-code-security&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/article&gt;&lt;/div&gt;&lt;div class=&quot;page-wrapper&quot;&gt;&lt;/div&gt;&lt;/article&gt;</description>
      <link>https://www.anthropic.com/news/claude-code-security</link>
      <guid isPermaLink="false">https://www.anthropic.com/news/claude-code-security</guid>
      <pubDate>Thu, 19 Feb 2026 16:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Anthropic and the Government of Rwanda sign MOU for AI in health and education</title>
      <description>&lt;article&gt;&lt;div class=&quot;page-wrapper PostDetail-module-scss-module__UQuRMa__hero&quot;&gt;&lt;div class=&quot;PostDetail-module-scss-module__UQuRMa__illustrationHeroWrapper&quot;&gt;&lt;div class=&quot;Illustration-module-scss-module__WyGOtq__root Illustration-module-scss-module__WyGOtq__aspect-wide Illustration-module-scss-module__WyGOtq__padding-lg Illustration-module-scss-module__WyGOtq__radius-lg bg-sky&quot;&gt;&lt;div class=&quot;Illustration-module-scss-module__WyGOtq__inner&quot;&gt;&lt;img alt=&quot;Anthropic and the Government of Rwanda sign MOU for AI in health and education&quot; loading=&quot;lazy&quot; width=&quot;1000&quot; height=&quot;1000&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; class=&quot;&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/6e00dbffcddc82df5e471c43453abfc74ca94e8d-1000x1000.svg&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;page-wrapper&quot;&gt;&lt;article&gt;&lt;div class=&quot;&quot;&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__body&quot; data-theme=&quot;ivory&quot;&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;The Government of Rwanda and Anthropic have signed a three-year Memorandum of Understanding to formalize and expand our partnership, bringing AI to Rwanda’s education, health, and public sector systems. This agreement builds on the &lt;a href=&quot;http://anthropic.com/news/rwandan-government-partnership-ai-education&quot;&gt;ALX education partnership we announced in November 2025&lt;/a&gt; and marks the first time Anthropic has formalized a multi-sector partnership through a government MOU on the African continent. &lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Our collaboration spans three areas:&lt;/p&gt;&lt;ul class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;&lt;li&gt;&lt;strong&gt;Accelerating Rwanda’s health goals: &lt;/strong&gt;Anthropic will support the Ministry of Health to tackle its ambitious national health goals, including its plan to eliminate cervical cancer and its ongoing efforts to reduce malaria and maternal mortality.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Enabling Rwanda’s public sector developers:&lt;/strong&gt; Developer teams across government institutions will use Claude and Claude Code. Along with hands-on training, capacity building, and API credits, this access will support Rwanda’s broader efforts to integrate AI into other public sector areas.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Deepening our education partnership in Rwanda and throughout the region:&lt;/strong&gt; The MOU formally codifies &lt;a href=&quot;https://www.anthropic.com/news/rwandan-government-partnership-ai-education&quot;&gt;our fall 2025 education agreement&lt;/a&gt;, which included 2,000 Claude Pro licenses for educators across Rwanda, AI literacy training for public servants, and the deployment of a Claude-powered AI learning companion across eight African countries.&lt;/li&gt;&lt;/ul&gt;&lt;h2 class=&quot;Body-module-scss-module__z40yvW__reading-column headline-5 post-section&quot; id=&quot;accelerating-ai-for-health-education-and-the-public-sector&quot;&gt;Accelerating AI for health, education, and the public sector&lt;/h2&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;“This partnership with Anthropic is an important milestone in Rwanda’s AI journey. Our goal is to continue to design and deploy AI solutions that can be applied at a national level to strengthen education, advance health outcomes, and enhance governance with an emphasis on our context,” said Paula Ingabire, Minister of Information and Communications Technology (ICT) and Innovation in Rwanda.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Anthropic’s Beneficial Deployments team has worked closely with the Ministry of ICT and Innovation and partners to design programs matched to Rwanda’s needs and priorities.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;“Technology is only as valuable as its reach. We’re investing in training, technical support, and capacity building to expand access so that AI can be used safely and independently by teachers, health workers, and public servants throughout Rwanda,” said Elizabeth Kelly, Head of Beneficial Deployments at Anthropic.&lt;/p&gt;&lt;h2 class=&quot;Body-module-scss-module__z40yvW__reading-column headline-5 post-section&quot; id=&quot;a-commitment-to-ai-for-the-public-good&quot;&gt;A commitment to AI for the public good&lt;/h2&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Today’s announcement builds on our education partnerships, which help students and educators interact with AI, and marks a significant expansion into the health sector.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Together, these partnerships reflect a long-term collaboration that prioritizes capacity building, responsible deployment, and local autonomy over how new technologies are introduced. By investing in skills, infrastructure, and institutions, we hope to lay the groundwork for AI to deliver lasting value in the sectors that matter most to people’s lives.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;&lt;br&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/article&gt;&lt;/div&gt;&lt;div class=&quot;page-wrapper&quot;&gt;&lt;/div&gt;&lt;/article&gt;</description>
      <link>https://www.anthropic.com/news/anthropic-rwanda-mou</link>
      <guid isPermaLink="false">https://www.anthropic.com/news/anthropic-rwanda-mou</guid>
      <pubDate>Mon, 16 Feb 2026 16:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Introducing Claude Sonnet 4.6</title>
      <description>&lt;article&gt;&lt;div class=&quot;page-wrapper PostDetail-module-scss-module__UQuRMa__hero&quot;&gt;&lt;div class=&quot;PostDetail-module-scss-module__UQuRMa__illustrationHeroWrapper&quot;&gt;&lt;div class=&quot;Illustration-module-scss-module__WyGOtq__root Illustration-module-scss-module__WyGOtq__aspect-wide Illustration-module-scss-module__WyGOtq__padding-lg Illustration-module-scss-module__WyGOtq__radius-lg bg-clay&quot;&gt;&lt;div class=&quot;Illustration-module-scss-module__WyGOtq__inner&quot;&gt;&lt;img alt=&quot;Introducing Claude Sonnet 4.6&quot; loading=&quot;lazy&quot; width=&quot;1000&quot; height=&quot;1000&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; class=&quot;&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/60a35c504cedb3e3f581b211e4b8aef372ffe031-1000x1000.svg&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;page-wrapper&quot;&gt;&lt;article&gt;&lt;div class=&quot;&quot;&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__body&quot; data-theme=&quot;ivory&quot;&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;&lt;em&gt;Claude Sonnet 4.6 is our most capable Sonnet model yet&lt;/em&gt;. It’s a full upgrade of the model’s skills across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Sonnet 4.6 also features a 1M token context window in beta.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;For those on our &lt;a href=&quot;https://claude.com/pricing&quot;&gt;Free and Pro plans&lt;/a&gt;, Claude Sonnet 4.6 is now the default model in &lt;a href=&quot;https://claude.ai/redirect/website.v1.2e879d39-aa47-49c0-9a08-88b76fa82b34&quot;&gt;claude.ai&lt;/a&gt; and &lt;a href=&quot;https://claude.com/product/cowork&quot;&gt;Claude Cowork&lt;/a&gt;. &lt;a href=&quot;https://claude.com/pricing#api&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;Pricing&lt;/a&gt; remains the same as Sonnet 4.5, starting at $3/$15 per million tokens.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Sonnet 4.6 brings much-improved coding skills to more of our users. Improvements in consistency, instruction following, and more have made developers with early access prefer Sonnet 4.6 to its predecessor by a wide margin. They often even prefer it to our smartest model from November 2025, Claude Opus 4.5.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Performance that would have previously required reaching for an Opus-class model—including on real-world, economically valuable &lt;a href=&quot;https://artificialanalysis.ai/evaluations/gdpval-aa&quot;&gt;office tasks&lt;/a&gt;—is now available with Sonnet 4.6. The model also shows a major improvement in computer use skills compared to prior Sonnet models.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;As with every new Claude model, we’ve run &lt;a href=&quot;https://anthropic.com/claude-sonnet-4-6-system-card&quot;&gt;extensive safety evaluations&lt;/a&gt; of Sonnet 4.6, which overall showed it to be as safe as, or safer than, our other recent Claude models. Our safety researchers concluded that Sonnet 4.6 has “a broadly warm, honest, prosocial, and at times funny character, very strong safety behaviors, and no signs of major concerns around high-stakes forms of misalignment.”&lt;/p&gt;&lt;h2 class=&quot;Body-module-scss-module__z40yvW__reading-column headline-4 post-heading&quot; id=&quot;computer-use&quot;&gt;Computer use&lt;/h2&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Almost every organization has software it can’t easily automate: specialized systems and tools built before modern interfaces like APIs existed. To have AI use such software, users would previously have had to build bespoke connectors. But a model that can use a computer the way a person does changes that equation.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;In October 2024, we were the &lt;a href=&quot;https://www.anthropic.com/news/3-5-models-and-computer-use&quot;&gt;first to introduce&lt;/a&gt; a general-purpose computer-using model. At the time, we wrote that it was “still experimental—at times cumbersome and error-prone,” but we expected rapid improvement. &lt;a href=&quot;https://os-world.github.io/&quot;&gt;OSWorld&lt;/a&gt;, the standard benchmark for AI computer use, shows how far our models have come. It presents hundreds of tasks across real software (Chrome, LibreOffice, VS Code, and more) running on a simulated computer. There are no special APIs or purpose-built connectors; the model sees the computer and interacts with it in much the same way a person would: clicking a (virtual) mouse and typing on a (virtual) keyboard.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Across sixteen months, our Sonnet models have made steady gains on OSWorld. The improvements can also be seen beyond benchmarks: early Sonnet 4.6 users are seeing human-level capability in tasks like navigating a complex spreadsheet or filling out a multi-step web form, before pulling it all together across multiple browser tabs.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;The model certainly still lags behind the most skilled humans at using computers. But the rate of progress is remarkable nonetheless. It means that computer use is much more useful for a range of work tasks—and that substantially more capable models are within reach.&lt;/p&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__media-column&quot;&gt;&lt;figure class=&quot;ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption&quot;&gt;&lt;img alt=&quot;Chart comparing several Sonnet model scores on the OSWorld benchmark&quot; loading=&quot;lazy&quot; width=&quot;3840&quot; height=&quot;1948&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/1206645ef5a618dabce8587b472b21c67a30a0db-3840x1948.png&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;figcaption class=&quot;caption&quot;&gt;Scores prior to Claude Sonnet 4.5 were measured on the original OSWorld; scores from Sonnet 4.5 onward use OSWorld-Verified. OSWorld-Verified (released July 2025) is an in-place upgrade of the original OSWorld benchmark, with updates to task quality, evaluation grading, and infrastructure.&lt;/figcaption&gt;&lt;/figure&gt;&lt;/div&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;At the same time, computer use poses risks: malicious actors can attempt to hijack the model by hiding instructions on websites in what’s known as a prompt injection attack. We’ve been working to improve our models’ resistance to prompt injections—our &lt;a href=&quot;https://anthropic.com/claude-sonnet-4-6-system-card&quot;&gt;safety evaluations&lt;/a&gt; show that Sonnet 4.6 is a major improvement compared to its predecessor, Sonnet 4.5, and performs similarly to Opus 4.6. You can find out more about how to mitigate prompt injections and other safety concerns in &lt;a href=&quot;https://platform.claude.com/docs/en/test-and-evaluate/strengthen-guardrails/mitigate-jailbreaks&quot;&gt;our API docs&lt;/a&gt;.&lt;/p&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__media-column Body-module-scss-module__z40yvW__inline&quot;&gt;&lt;div class=&quot;Video-module-scss-module__qJNyFq__post-wrapper&quot;&gt;&lt;figure class=&quot;Video-module-scss-module__qJNyFq__post-video-container&quot;&gt;&lt;!--$!--&gt;&lt;template data-dgst=&quot;BAILOUT_TO_CLIENT_SIDE_RENDERING&quot;&gt;&lt;/template&gt;&lt;!--/$--&gt;&lt;/figure&gt;&lt;/div&gt;&lt;/div&gt;&lt;h2 class=&quot;Body-module-scss-module__z40yvW__reading-column headline-4 post-heading&quot; id=&quot;evaluating-claude-sonnet-46&quot;&gt;Evaluating Claude Sonnet 4.6&lt;/h2&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Beyond computer use, Claude Sonnet 4.6 has improved on benchmarks across the board. It approaches Opus-level intelligence at a price point that makes it more practical for far more tasks. You can find a full discussion of Sonnet 4.6’s capabilities and its safety-related behaviors in &lt;a href=&quot;https://anthropic.com/claude-sonnet-4-6-system-card&quot;&gt;our system card&lt;/a&gt;; a summary and comparison to other recent models is below.&lt;/p&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__media-column&quot;&gt;&lt;figure class=&quot;ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption&quot;&gt;&lt;img alt=&quot;A table of popular benchmarks and Sonnet 4.6&#39;s relative performance compared to other frontier models&quot; loading=&quot;lazy&quot; width=&quot;2600&quot; height=&quot;2960&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/10b2602771d21378cd6d76628a081c8a76dcf216-2600x2960.png&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/figure&gt;&lt;/div&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;In Claude Code, our early testing found that users preferred Sonnet 4.6 over Sonnet 4.5 roughly 70% of the time. Users reported that it more effectively read the context before modifying code and consolidated shared logic rather than duplicating it. This made it less frustrating to use over long sessions than earlier models.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Users even preferred Sonnet 4.6 to Opus 4.5, our frontier model from November, 59% of the time. They rated Sonnet 4.6 as significantly less prone to overengineering and “laziness,” and meaningfully better at instruction following. They reported fewer false claims of success, fewer hallucinations, and more consistent follow-through on multi-step tasks.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Sonnet 4.6’s 1M token context window is enough to hold entire codebases, lengthy contracts, or dozens of research papers in a single request. More importantly, Sonnet 4.6 &lt;em&gt;reasons effectively&lt;/em&gt; across all that context. This can make it much better at long-horizon planning. We saw this particularly clearly in the &lt;a href=&quot;https://andonlabs.com/evals/vending-bench-arena&quot;&gt;Vending-Bench Arena&lt;/a&gt; evaluation, which tests how well a model can run a (simulated) business over time—and which includes an element of competition, with different AI models facing off against each other to make the biggest profits.&lt;/p&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Sonnet 4.6 developed an interesting new strategy: it invested heavily in capacity for the first ten simulated months, spending significantly more than its competitors, and then pivoted sharply to focus on profitability in the final stretch. The timing of this pivot helped it finish well ahead of the competition.&lt;/p&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__media-column&quot;&gt;&lt;figure class=&quot;ImageWithCaption-module-scss-module__Duq99q__e-imageWithCaption&quot;&gt;&lt;img loading=&quot;lazy&quot; width=&quot;3840&quot; height=&quot;2160&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/8c2855afe51fc0980596b5369b01b0b87eea7eaf-3840x2160.png&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;figcaption class=&quot;caption&quot;&gt;Sonnet 4.6 outperforms Sonnet 4.5 on Vending-Bench Arena by investing in capacity early, then pivoting to profitability in the final stretch.&lt;/figcaption&gt;&lt;/figure&gt;&lt;/div&gt;&lt;p class=&quot;Body-module-scss-module__z40yvW__reading-column body-2 serif post-text&quot;&gt;Early customers also reported broad improvements, with frontend code and financial analysis standing out. Customers independently described visual outputs from Sonnet 4.6 as notably more polished, with better layouts, animations, and design sensibility than those from previous models. Customers also needed fewer rounds of iteration to reach production-quality results.&lt;/p&gt;&lt;div class=&quot;Body-module-scss-module__z40yvW__media-column&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-carousel-wrapper&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-carousel-container&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-carousel&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Databricks logo&quot; loading=&quot;lazy&quot; width=&quot;120&quot; height=&quot;48&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-logo&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/a498e756da3805fe3416177ea825d6586f6432a2-150x48.svg&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container&quot;&gt;&lt;svg class=&quot;Icon-module-scss-module__lqbdHG__icon&quot; width=&quot;16&quot; height=&quot;16&quot; viewBox=&quot;0 0 37 31&quot;&gt;&lt;path d=&quot;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&quot; fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;Claude Sonnet 4.6 matches Opus 4.6 performance on OfficeQA, which measures how well a model can read enterprise documents (charts, PDFs, tables), pull the right facts, and reason from those facts. It’s a meaningful upgrade for document comprehension workloads.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Hanlin Tang&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;CTO of Neural Networks&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;Databricks&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Replit logo&quot; loading=&quot;lazy&quot; width=&quot;120&quot; height=&quot;48&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-logo&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/ff1601aa704506064c9ddee37079f17f9b0799cd-150x48.svg&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container&quot;&gt;&lt;svg class=&quot;Icon-module-scss-module__lqbdHG__icon&quot; width=&quot;16&quot; height=&quot;16&quot; viewBox=&quot;0 0 37 31&quot;&gt;&lt;path d=&quot;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&quot; fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;The performance-to-cost ratio of Claude Sonnet 4.6 is extraordinary—it’s hard to overstate how fast Claude models have been evolving in recent months. Sonnet 4.6 outperforms on our orchestration evals, handles our most complex agentic workloads, and keeps improving the higher you push the effort settings.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Michele Catasta&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;President&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;Replit&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Cursor logo&quot; loading=&quot;lazy&quot; width=&quot;120&quot; height=&quot;48&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-logo&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/d74b2a5f8dc7d22b0febb8c69feabff0999da79d-151x36.svg&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container&quot;&gt;&lt;svg class=&quot;Icon-module-scss-module__lqbdHG__icon&quot; width=&quot;16&quot; height=&quot;16&quot; viewBox=&quot;0 0 37 31&quot;&gt;&lt;path d=&quot;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&quot; fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;Claude Sonnet 4.6 is a notable improvement over Sonnet 4.5 across the board, including long-horizon tasks and more difficult problems.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Michael Truell&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;Co-founder and CEO&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;Cursor&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;GitHub logo&quot; 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fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;Out of the gate, Claude Sonnet 4.6 is already excelling at complex code fixes, especially when searching across large codebases is essential. For teams running agentic coding at scale, we’re seeing strong resolution rates and the kind of consistency developers need.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Joe Binder&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;VP of Product&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;GitHub&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Cognition logo&quot; 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fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;Claude Sonnet 4.6 has meaningfully closed the gap with Opus on bug detection, letting us run more reviewers in parallel, catch a wider variety of bugs, and do it all without increasing cost.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Scott Wu&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;CEO&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;Cognition&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Windsurf logo&quot; 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fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;For the first time, Sonnet brings frontier-level reasoning in a smaller and more cost-effective form factor. It provides a viable alternative if you are a heavy Opus user.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Jeff Wang&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;CEO&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;Windsurf&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Hebbia logo&quot; 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fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;Claude Sonnet 4.6 meaningfully improves the answer retrieval behind our core product—we saw a significant jump in answer match rate compared to Sonnet 4.5 in our Financial Services Benchmark, with better recall on the specific workflows our customers depend on.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Aabhas Sharma&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;CTO&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;Hebbia&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Box logo&quot; 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fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;Box evaluated how Claude Sonnet 4.6 performs when tested on deep reasoning and complex agentic tasks across real enterprise documents. It demonstrated significant improvements, outperforming Claude Sonnet 4.5 in heavy reasoning Q&amp;amp;A by 15 percentage points.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Ben Kus&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;CTO&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;Box&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Pace logo&quot; loading=&quot;lazy&quot; width=&quot;120&quot; height=&quot;48&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-logo&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/ec6a42c89c7dc05949f15091fda3c953d5ac7632-118x36.svg&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container&quot;&gt;&lt;svg class=&quot;Icon-module-scss-module__lqbdHG__icon&quot; width=&quot;16&quot; height=&quot;16&quot; viewBox=&quot;0 0 37 31&quot;&gt;&lt;path d=&quot;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&quot; fill=&quot;currentColor&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/div&gt;&lt;blockquote class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-content&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-text body-2 serif&quot;&gt;Claude Sonnet 4.6 hit 94% on our insurance benchmark, making it the highest-performing model we’ve tested for computer use. This kind of accuracy is mission-critical to workflows like submission intake and first notice of loss.&lt;/div&gt;&lt;footer class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-footer&quot;&gt;&lt;cite class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-info body-3&quot;&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-name&quot;&gt;Jamie Cuffe&lt;/span&gt;&lt;br&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__speaker-title&quot;&gt;CEO&lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__separator&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-name&quot;&gt;Pace&lt;/span&gt;&lt;/cite&gt;&lt;/footer&gt;&lt;/blockquote&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-item QuoteCarousel-module-scss-module__XVJWRG__with-logo bg-ivory-medium&quot;&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__logo-container&quot;&gt;&lt;img alt=&quot;Bolt logo&quot; loading=&quot;lazy&quot; width=&quot;120&quot; height=&quot;48&quot; decoding=&quot;async&quot; data-nimg=&quot;1&quot; class=&quot;QuoteCarousel-module-scss-module__XVJWRG__company-logo&quot; src=&quot;https://www-cdn.anthropic.com/images/4zrzovbb/website/ade72922c1b58726e1b7c17f0e500054e3d74aa0-92x37.svg&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/div&gt;&lt;div class=&quot;QuoteCarousel-module-scss-module__XVJWRG__quote-mark-container&quot;&gt;&lt;

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• Rule 9: limit default changed from 20 to 10 in lib/routes/anthropic/news.ts - please preserve original default unless specifically justified