Announcing Claude Opus 4.7

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Key Takeaways

  • Claude Opus 4.7 delivers measurable gains over Opus 4.6 in software‑engineering tasks, especially on the most complex, long‑running coding problems.
  • Vision capabilities are substantially improved, supporting images up to ~3.75 MP and enabling higher‑quality multimodal work.
  • Safety safeguards are built‑in to block prohibited cybersecurity uses while a Cyber Verification Program invites legitimate security professionals to test the model.
  • Availability spans all Claude products, major cloud APIs (Amazon Bedrock, Google Vertex AI, Microsoft Foundry) with unchanged pricing ($5/1 M input tokens, $25/1 M output tokens).
  • Early‑access feedback highlights better instruction following, autonomous error detection, reduced tool errors, and stronger performance across finance, legal, agentic, and computer‑use benchmarks.
  • New features include an “xhigh” effort level, task‑budget controls, the /ultrareview command, and auto‑mode for longer autonomous runs.
  • Migration from Opus 4.6 may affect token usage due to an updated tokenizer and higher‑effort reasoning; users should measure real‑world impact and consult the migration guide.

Overview of Claude Opus 4.7
Claude Opus 4.7 is now generally available as the latest iteration in Anthropic’s Claude series. It builds on Opus 4.6 with targeted upgrades in software engineering, multimodal perception, and safety controls. While it does not reach the breadth of the forthcoming Claude Mythos Preview, Opus 4.7 outperforms its predecessor across a range of benchmarks and real‑world workflows, offering developers a more reliable, autonomous assistant for demanding tasks.


Advances in Software Engineering
Opus 4.7 shows notable improvement on the hardest coding chores that previously required close supervision. Users report being able to delegate complex, long‑running programming work with confidence, as the model maintains rigor and consistency, pays precise attention to instructions, and verifies its own outputs before reporting back. On a 93‑task coding benchmark,

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