{"id":8142,"date":"2026-07-24T18:31:27","date_gmt":"2026-07-24T18:31:27","guid":{"rendered":"https:\/\/nile1.com\/en\/?p=8142"},"modified":"2026-07-24T18:31:34","modified_gmt":"2026-07-24T18:31:34","slug":"anthropic-releases-claude-opus-5-outperforming-flagship-models-at-half-the-cost","status":"publish","type":"post","link":"https:\/\/nile1.com\/en\/2026\/07\/24\/anthropic-releases-claude-opus-5-outperforming-flagship-models-at-half-the-cost\/","title":{"rendered":"Anthropic Releases Claude Opus 5, Outperforming Flagship Models at Half the Cost"},"content":{"rendered":"

Artificial intelligence developer Anthropic<\/a> officially released Claude Opus 5 on July 24, delivering a major performance upgrade across software engineering, enterprise automation, and complex problem-solving. Offered at $5 per million input tokens, the new flagship engine costs half as much to run as the company’s Claude Fable 5 while outpacing rival models from OpenAI on several major industry benchmarks.<\/p>\n

The release repositions Anthropic’s product offerings for commercial subscribers, making Opus 5 the primary flagship model for both Claude Pro and Claude Max tiers. The shift comes after Fable 5 faced significant operational setbacks, including a brief temporary suspension in June due to emergency export controls from the U.S. government following a jailbreak discovery, after which Fable 5 was shifted to an unbundled, credits-only access structure.<\/p>\n

Benchmark results indicate substantial performance gains in high-complexity tasks. On ARC-AGI-3, a benchmark measuring abstract problem-solving capabilities on unmemorized puzzles, Opus 5 achieved a score of 30.2%, compared to 7.8% for OpenAI’s GPT-5.6 Sol. On the GDPval-AA v2 knowledge work evaluation, which uses Elo ratings to assess comparative performance on professional workloads, Opus 5 reached 1,861 points, surpassing Fable 5 at 1,747 and GPT-5.6 Sol at 1,736. Fable 5 retains a narrow lead over Opus 5 only in specialized legal and medical domains.<\/p>\n<\/p>\n

For developer workflows and software construction, Opus 5 scored 43.3% on Frontier-Bench v0.1, an evaluation focused on end-to-end agentic coding. By comparison, GPT-5.6 Sol recorded 34.4%, while Fable 5 scored 33.7%. Testing by developer platform Lovable demonstrated a 22% improvement over Opus 4.7 on difficult coding tasks, with Fabian Hedin noting marked consistency across execution runs. Enterprise workflow provider Zapier also reported a 100% completion rate on AutomationBench, where Opus 5 successfully performed a multi-stage churn prevention sequence using account health data\u2014a task that previous model iterations failed to complete.<\/p>\n

API access for Opus 5 is available at $5 per million input tokens and $25 per million output tokens, matching the pricing structure of its predecessor, Opus 4.8. Anthropic is also offering a high-speed Fast mode that operates at roughly 2.5 times standard speeds for $10 input and $50 output per million tokens. The pricing positions Opus 5 within Anthropic’s four-tiered structure\u2014spanning Haiku, Sonnet, Opus, and the high-security Mythos class\u2014as its premier operational workhorse.<\/p>\n

In scientific research applications, DNA sequencing firm Ultima Genomics reported that the model demonstrates reliable statistical reasoning by independently validating analytical results and accounting for potential confounders during multi-step processes. The model’s launch follows recent international competitive shifts, coming one week after Beijing-based Moonshot AI released Kimi K3, a 2.8-trillion-parameter open-weight model backed by Alibaba that currently ranks third overall in global benchmark evaluations behind Fable 5 and GPT-5.6 Sol.<\/p>\n","protected":false},"excerpt":{"rendered":"

Artificial intelligence developer Anthropic officially released Claude Opus 5 on July 24, delivering a major performance upgrade across software engineering, enterprise automation, and complex problem-solving. Offered at $5 per million input tokens, the new flagship engine costs half as much to run as the company’s Claude Fable 5 while outpacing rival models from OpenAI on …<\/p>\n","protected":false},"author":1,"featured_media":8144,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_sitemap_exclude":false,"_sitemap_priority":"","_sitemap_frequency":"","footnotes":""},"categories":[7],"tags":[1177,10860,10862,1967,10824,10853,10861,3891,6075,10864,6074,10863,10865],"class_list":["post-8142","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-crypto","tag-anthropic","tag-arc-agi-3","tag-automationbench","tag-claude-fable-5","tag-claude-opus-5","tag-frontier-bench-v0-1","tag-gdpval-aa-v2","tag-gpt-5-6-sol","tag-kimi-k3","tag-lovable","tag-moonshot-ai","tag-ultima-genomics","tag-zapier"],"_links":{"self":[{"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/posts\/8142","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/comments?post=8142"}],"version-history":[{"count":3,"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/posts\/8142\/revisions"}],"predecessor-version":[{"id":8146,"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/posts\/8142\/revisions\/8146"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/media\/8144"}],"wp:attachment":[{"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/media?parent=8142"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/categories?post=8142"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nile1.com\/en\/wp-json\/wp\/v2\/tags?post=8142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}