claude-opus-4-7-thinking

Claude Opus 4.7 thinking is the extended-reasoning member of Anthropic's Claude Opus family, positioned for the hardest, longest-running workloads that benefit from deliberate multi-step inference. It is intended for real-world software engineering, agentic pipelines, and dense visual reasoning, where it is reported to deliver meaningful gains over the prior Opus generation on production-style benchmarks, including roughly three times more resolved tasks on Rakuten-SWE-Bench, a lift from 58% to 70% on CursorBench for complex multi-step workflows, and about a one-third drop in tool-call errors.

A practical strength of this release is its expanded vision capacity, accepting images up to 2,576 pixels on the long edge so the model can reason over dense screenshots, design mockups, and long documents with more visual fidelity than earlier Claude variants. It is best suited to teams running long-context agent systems, large pull-request reviews, and mixed text-and-image tasks that require sustained planning rather than single-turn answers, fitting naturally alongside the standard Claude Opus 4.7 variant in pipelines where a thinking mode is reserved for the most demanding steps.