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Claude Opus 4.7

Models

Anthropic’s premium generally available frontier model for difficult coding, tool-using, and long-running agentic work.

Think of it like bringing in a top-tier senior engineer for the hardest parts of the project: more expensive, but often worth it when the stakes are high.

Claude Opus 4.7 is Anthropic's premium generally available model for advanced software engineering, agentic workflows, and other high-stakes knowledge work. Anthropic positions it as the strongest broadly available Claude release for people who need the model to sustain long runs, follow instructions precisely, and recover gracefully from ambiguity or tool failures.

Core profile

Claude Opus 4.7 sits at the high-capability, high-cost end of Anthropic's lineup. Anthropic prices it at $5 per million input tokens and $25 per million output tokens, and markets it as the model to use when performance matters more than throughput. The product page also describes it as a 1 million token context window model, which is part of why it is often used for codebases, long documents, and multi-session agent workflows.

Official benchmark and eval signals

Anthropic's launch material emphasized not just generic intelligence but real engineering performance. Officially highlighted results and customer evals included:

  • CursorBench: 70% for Opus 4.7 versus 58% for Opus 4.6
  • Complex multi-step workflows: +14% over Opus 4.6 with roughly a third of the tool errors
  • Rakuten-SWE-Bench: 3x more production tasks resolved than Opus 4.6
  • Visual acuity benchmark: 98.5% versus 54.5% for Opus 4.6

Anthropic also described Opus 4.7 as its most capable generally available model across coding, agentic tasks, and professional knowledge work, while noting that Claude Mythos Preview remained stronger in some restricted high-risk domains.

What it is good at

Claude Opus 4.7 is the kind of model teams reach for when mistakes are expensive: code review, hard debugging, long-horizon implementation tasks, complex internal agents, financial or legal-style analysis, and enterprise workflows that span many steps and tools. The model is especially associated with careful instruction following, sustained effort over long runs, and better behavior when tools fail or return partial information.

Tradeoffs

The tradeoff is cost and selectivity. Opus 4.7 is rarely the model you use for every request in a large production system. More often, teams route the hard calls to Opus and keep routine work on cheaper models. That is what makes it strategically important: it represents the premium proprietary frontier tier that open-weight and lower-cost models are increasingly measured against.

Last updated: April 30, 2026