Article Complete
AIM
Anthropic Releases Claude Opus 4.1 With Agentic, Coding and Reasoning Upgrades
Anthropic Releases Claude Opus 4.1 With Agentic, Coding and Reasoning Upgrades
Incremental Overdrive

Anthropic Releases Claude Opus 4.1 With Agentic, Coding and Reasoning Upgrades

“We plan to release substantially larger improvements to our models in the coming weeks.”

Published Updated

Key takeaways

  • Release Claude Opus 4.1 introduces significant upgrades in coding, reasoning, and agentic performance.
  • Achieve a 74.5% score on SWE-bench Verified, enhancing real-world software engineering capabilities.
  • Upgrade recommended for developers via API identifier claude-opus-4-1-20250805.
  • Expect larger improvements from Anthropic in the upcoming weeks.
  • Pricing for Claude Opus 4.1 remains unchanged for paid users.
5 min

Anthropic has released Claude Opus 4.1, a new version of its flagship AI model, with improvements in coding, reasoning, and agentic task performance. The update builds on Claude Opus 4 and is now available to paid users through Claude Code, API access, Amazon Bedrock, and Google Cloud’s Vertex AI. Pricing remains unchanged.

The company says Opus 4.1 delivers state-of-the-art coding performance, achieving 74.5% on SWE-bench Verified, a benchmark for real-world software engineering tasks. It also boosts capabilities in in-depth research, data analysis, and agentic search.

According to GitHub, the model shows gains in most areas compared to Opus 4, especially in multi-file code refactoring. Rakuten Group noted Claude Opus 4.1’s ability to identify precise corrections in large codebases without unnecessary changes or bugs. Windsurf reported that the model showed a one standard deviation improvement over Opus 4 on its junior developer benchmark.

Anthropic recommends developers upgrade to Claude Opus 4.1 using the API identifier claude-opus-4-1-20250805. The company stated, “We plan to release substantially larger improvements to our models in the coming weeks.”

Developers and users can access additional information through Anthropic’s system card, documentation, and model pages. The company is also seeking feedback to inform future model iterations.