{"id":22759,"date":"2026-07-28T07:35:09","date_gmt":"2026-07-28T07:35:09","guid":{"rendered":"https:\/\/scannn.com\/introducing-claude-opus-5-anthropic-2\/"},"modified":"2026-07-28T07:35:09","modified_gmt":"2026-07-28T07:35:09","slug":"introducing-claude-opus-5-anthropic-2","status":"publish","type":"post","link":"https:\/\/scannn.com\/lv\/introducing-claude-opus-5-anthropic-2\/","title":{"rendered":"Introducing Claude Opus 5 \\ Anthropic"},"content":{"rendered":"\n
\n

Claude Opus 5 is available today. It\u2019s a thoughtful and proactive model that comes close to the frontier intelligence of Claude Fable 5 at half the price.<\/p>\n

On coding and knowledge work evaluations like Frontier-Bench<\/a> and GDPval-AA<\/a>, Opus 5 is the new state-of-the-art, though it remains behind Mythos 5 on cybersecurity tasks.<\/p>\n

Opus 5 is designed to be used every day: it works more efficiently than other models. It\u2019s the new default model on Claude Max, and the strongest model on Claude Pro.<\/p>\n

\n
<\/figure>\n<\/div>\n

Performance and cost-effectiveness<\/h2>\n

Claude Opus 5 provides greatly improved performance for the same cost as its predecessor, Opus 4.8. The charts in this section show how performance changes according to the model\u2019s effort setting, which customers can use to optimize for intelligence or conserve tokens for faster and cheaper results.<\/p>\n

Opus 5 excels on valuable software engineering tasks. For example, on Frontier-Bench v0.1, <\/strong>Opus 5 surpasses all other models, and more than doubles Opus 4.8\u2019s performance at a lower cost per task. On CursorBench 3.2<\/strong>, at max effort, the model performs within 0.5% of Fable 5\u2019s peak score, but at half the cost per task; it also achieves greater performance at a given cost than all other models on high, xhigh, and max effort.<\/p>\n

We see similar results on knowledge work and problem-solving tasks. For example:<\/p>\n