{"id":640,"date":"2026-07-25T08:58:42","date_gmt":"2026-07-25T08:58:42","guid":{"rendered":"https:\/\/localseobot.ai\/blog\/anthropic-releases-claude-opus-5\/"},"modified":"2026-07-25T08:58:43","modified_gmt":"2026-07-25T08:58:43","slug":"anthropic-releases-claude-opus-5","status":"publish","type":"post","link":"https:\/\/localseobot.ai\/blog\/anthropic-releases-claude-opus-5\/","title":{"rendered":"Anthropic releases Claude Opus 5, available now across all platforms"},"content":{"rendered":"<p>Anthropic announced Claude Opus 5 on July 24, 2026, and made the model available the same day across all of its platforms. The company positions Opus 5 as a thoughtful, proactive model that approaches the frontier intelligence of Claude Fable 5 at roughly half the price, while delivering what Anthropic calls a clear improvement over its predecessor, Opus 4.8, at the same cost.<\/p>\n<h2>What benchmarks does Opus 5 lead on?<\/h2>\n<p>Anthropic&#8217;s announcement highlights a series of benchmark results designed to show that Opus 5 advances the state of the art on coding and knowledge-work evaluations, even as it trails another model on cybersecurity tasks.<\/p>\n<ul>\n<li><strong>Frontier-Bench v0.1:<\/strong> Opus 5 surpasses all other models and more than doubles Opus 4.8&#8217;s performance at a lower cost per task.<\/li>\n<li><strong>CursorBench 3.2:<\/strong> At maximum effort, Opus 5 performs within 0.5% of Claude Fable 5&#8217;s peak score at half the cost per task, and outperforms every other model on high, xhigh, and max effort at any given cost.<\/li>\n<li><strong>ARC-AGI 3:<\/strong> A novel-problem-solving evaluation on which Opus 5 scores roughly three times higher than the next-best model.<\/li>\n<li><strong>Zapier AutomationBench:<\/strong> Pass rate is about 1.5 times the next-best model for the same cost, and even at its lowest effort setting Opus 5 passes more tasks than any other model.<\/li>\n<li><strong>OSWorld 2.0:<\/strong> A computer-use benchmark where Opus 5 surpasses Fable 5&#8217;s best result at just over a third of the cost.<\/li>\n<\/ul>\n<p>Opus 5 is also described as Anthropic&#8217;s best and most cost-efficient model on ARC-AGI 3, GDPval-AA v2, OSWorld 2.0, HLE, AutomationBench, and DeepSearchQA.<\/p>\n<h2>How does Opus 5 improve scientific research and visual output?<\/h2>\n<p>Anthropic says Opus 5 is a meaningful improvement over Opus 4.8 for scientific research, with gains across life sciences evaluations covering structural biology, organic chemistry, and bioinformatics. The largest jumps appear in two areas:<\/p>\n<ul>\n<li>Organic chemistry tasks such as inferring molecular structures from spectroscopy data: Opus 5 scores 10.2 percentage points higher than Opus 4.8 on Anthropic&#8217;s internal benchmark.<\/li>\n<li>Protein-related tasks such as predicting how sequence variations affect function: a 7.7 percentage-point improvement over Opus 4.8.<\/li>\n<\/ul>\n<p>The company also points to stronger visual output, including an interactive wind tunnel illustration showing airflow over aerodynamic and non-aerodynamic objects, and a simplified, interactive illustration of a cell.<\/p>\n<h2>How capable is Opus 5 at verifying and iterating on its own work?<\/h2>\n<p>Anthropic emphasizes that Opus 5 is much stronger at verifying its own work and iterating carefully. Three examples are highlighted in the announcement:<\/p>\n<ul>\n<li>On a Frontier-Bench task that asked Opus 5 to rebuild a machine part as a 3D FreeCAD model from a drawing the model could not directly view, Opus 5 wrote its own computer vision pipeline to extract geometry from raw pixels and reconstructed the part. No competing model with the same setup solved the task in five attempts.<\/li>\n<li>Given a real bug in a popular open-source package manager, Opus 5 found the root cause and fixed an edge case the community&#8217;s patch had missed, while a competing model fixed only the surface symptom.<\/li>\n<li>An engineer at a trading firm used Opus 5 to build a market data feed for a new exchange in a single session. With no live feed to validate against, Opus 5 built its own test harness to check that its code parsed the exchange&#8217;s data correctly.<\/li>\n<\/ul>\n<h2>What do early-access customers say about Opus 5?<\/h2>\n<p>Customer testimonials in the announcement span coding, analytics, finance, and legal work:<\/p>\n<ul>\n<li><strong>Scott Wu, CEO of Devin:<\/strong> On FrontierCode 1.1, Opus 5 approaches Fable-level performance at half the cost and shows particular strength on difficult debugging and root-cause analysis tasks.<\/li>\n<li><strong>Sualeh Asif, Co-Founder at Cursor:<\/strong> On CursorBench, Opus 5 is just under Fable 5 and shows many of the same behaviors.<\/li>\n<li><strong>Wade Foster, CEO of Zapier:<\/strong> Opus 5 topped Zapier&#8217;s AutomationBench leaderboard without spending more tokens than prior Claude models, and ran a full churn-prevention sequence end to end with a 100% pass rate on a test where previous models did not pass.<\/li>\n<li><strong>Alfredo Andere, CEO of an unnamed genomics analysis firm:<\/strong> Opus 5 behaves more like a careful scientist, choosing appropriate statistical tests, cross-checking results by independent methods, and staying on track through long multi-step analyses.<\/li>\n<li><strong>Fabian Hedin, Co-Founder at Lovable:<\/strong> On internal evals Opus 5 came out ahead of every model in its family, including a 22% gain over Opus 4.7 on the hardest agentic coding tasks and far less run-to-run variance.<\/li>\n<li><strong>Madhav Jha, Co-Founder and CTO at Lovable:<\/strong> Calls Opus 5 the biggest leap in the Opus family since 4.5, with the strongest animations, games, and 3D work seen from an Opus model.<\/li>\n<li><strong>Ben Kus, CTO at Box:<\/strong> Box found that Opus 5 outperforms Opus 4.8 by 8% overall, with an 11% improvement in data analysis workflows and a 17% improvement in due diligence workflows.<\/li>\n<li><strong>Richard Pham, Evals and Product Lead at an unnamed firm:<\/strong> On hard financial-modeling tasks, Opus 5 averaged 9 percentage points higher accuracy than Opus 4.8 across effort levels, with a third fewer turns and tool calls and 60% less time.<\/li>\n<li><strong>Niko Grupen, Head of Applied Research at an unnamed legal-focused firm:<\/strong> Saw the biggest gains in practice areas like corporate governance and arbitration, and noted similar performance at 26% fewer tokens on average compared to Opus 4.8 at max reasoning.<\/li>\n<li><strong>Igor Ostrovsky, Co-Founder and CTO at an unnamed firm:<\/strong> Plans to migrate use cases in Cosmos, the company&#8217;s unified agent platform, including code review.<\/li>\n<li><strong>Denis Shiryaev, Head of AI in IDE at JetBrains:<\/strong> Highlights Opus 5&#8217;s judgment during planning and reasoning about why an answer is right, not just whether it works.<\/li>\n<li><strong>Matt Nassr, Head of Global Data Engineering and AI Transformation at an unnamed trading firm:<\/strong> Describes Opus 5 as the strongest Opus model on the firm&#8217;s trading benchmark, reaching that level with roughly a seventh of the reasoning tokens and under half the latency of Opus 4.8.<\/li>\n<li><strong>Deepak Singh, VP of Agentic AI at Kiro:<\/strong> Calls Opus 5 a strong agentic coding model for long-running, multi-step work that holds the thread across complex tasks.<\/li>\n<\/ul>\n<h2>What is the alignment and safety profile of Opus 5?<\/h2>\n<p>Anthropic&#8217;s pre-deployment automated behavioral audit found Opus 5 to be the company&#8217;s most aligned model to date. According to the announcement, it adheres to Claude&#8217;s Constitution better than Opus 4.8, Sonnet 5, or Fable 5; exhibits the lowest rates of deceptive behavior; and is the least susceptible to being tricked into misuse. On overall misaligned behavior, the audit gave Opus 5 a score of 2.3, the lowest of Anthropic&#8217;s recent models.<\/p>\n<p>On safety, the company states that Opus 5 does not advance the frontier in risky, dual-use capabilities. In evaluations conducted with private-sector and government partners, Opus 5 remains behind Mythos 5 on both biology research and offensive cybersecurity. Anthropic notes that, as with Opus 4.8, it intentionally avoided training Opus 5 on cyber tasks; the model nonetheless improved on these tasks as a general capability gain and comes close to Mythos 5 at finding vulnerabilities, while remaining substantially behind Mythos 5 on exploiting them. The announcement references OSS-Fuzz as an evaluation that illustrates this gap.<\/p>\n<h2>How is Opus 5 priced, and where is it available?<\/h2>\n<p>Pricing for Opus 5 is set at $5 per million input tokens and $25 per million output tokens, the same pricing as Opus 4.8. A fast mode runs about 2.5 times faster at double the base price. Opus 5 is available today across all platforms and is the new default model on Claude Max and the strongest model on Claude Pro.<\/p>\n<h2>FAQ<\/h2>\n<h3>When was Claude Opus 5 released?<\/h3>\n<p>Anthropic announced Claude Opus 5 on July 24, 2026, and made the model available the same day across all platforms.<\/p>\n<h3>How does Opus 5 compare to Claude Fable 5?<\/h3>\n<p>According to Anthropic, Opus 5 approaches the frontier intelligence of Claude Fable 5 at roughly half the cost. On CursorBench 3.2 at max effort, Opus 5 performs within 0.5% of Fable 5&#8217;s peak score at half the cost per task, and on OSWorld 2.0 it surpasses Fable 5&#8217;s best result at just over a third of the cost.<\/p>\n<h3>What does Opus 5 cost per million tokens?<\/h3>\n<p>Opus 5 is priced at $5 per million input tokens and $25 per million output tokens, the same pricing as Opus 4.8. A fast mode runs about 2.5 times faster at double the base price.<\/p>\n<h2>Related coverage<\/h2>\n<ul>\n<li><a href=\"https:\/\/localseobot.ai\/blog\/anthropic-claude-fable-5-subscription-limits-max-team-premium\/\">Anthropic Ends Claude Fable 5 Subscription Limbo: Permanent Max and Team Premium Caps, With Lower Plans Moving to Pay-Per-Use<\/a><\/li>\n<li><a href=\"https:\/\/localseobot.ai\/blog\/anthropic-claude-internal-reasoning-space-j-space\/\">Anthropic describes an internal reasoning space inside Claude and stops short of calling it conscious<\/a><\/li>\n<\/ul>\n<p><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"headline\":\"Anthropic releases Claude Opus 5, available now across all platforms\",\"description\":\"Anthropic launched Claude Opus 5 on July 24, 2026, positioning it as near Fable 5 intelligence at half the price, with state-of-the-art coding and knowledge-work benchmark results.\",\"datePublished\":\"2026-07-25T08:55:48.681Z\",\"publisher\":{\"@type\":\"Organization\",\"name\":\"LocalSEOBot\"}},{\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"When was Claude Opus 5 released?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Anthropic announced Claude Opus 5 on July 24, 2026, and made the model available the same day across all platforms.\"}},{\"@type\":\"Question\",\"name\":\"How does Opus 5 compare to Claude Fable 5?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Anthropic says Opus 5 approaches the frontier intelligence of Claude Fable 5 at roughly half the cost. 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A fast mode runs about 2.5 times faster at double the base price.\"}}]}]}<\/script><\/p>\n<hr style=\"margin:2.5em 0 1em;opacity:.35\" \/>\n<p style=\"font-size:.85em;opacity:.7\">This article summarizes reporting from <a href=\"https:\/\/www.anthropic.com\/news\/claude-opus-5\" target=\"_blank\" rel=\"nofollow noopener\">anthropic.com<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anthropic has launched Claude Opus 5, a new flagship model that approaches Claude Fable 5 performance at roughly half the cost, with broad gains on coding and knowledge-work benchmarks.<\/p>\n","protected":false},"author":2,"featured_media":639,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-640","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-news"],"_links":{"self":[{"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/posts\/640","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/comments?post=640"}],"version-history":[{"count":1,"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/posts\/640\/revisions"}],"predecessor-version":[{"id":641,"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/posts\/640\/revisions\/641"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/media\/639"}],"wp:attachment":[{"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/media?parent=640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/categories?post=640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/localseobot.ai\/blog\/wp-json\/wp\/v2\/tags?post=640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}