Claude Opus 4.6
- Source
- anthropic.com
- Author
- Anthropic News
- Date
The 1M-token and agentic coding/debugging gains let you keep much larger codebases and longer sessions in a single context, and new Claude Code agent-team and context- features directly change how you can orchestrate coding workflows.
- context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- context compaction — Summarizing an agent's earlier conversation to free room in the context window so a long session can keep going.
- multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
“It plans more carefully, sustains agentic tasks for longer, can operate more reliably in larger codebases, and has better code review and debugging skills to catch its own mistakes.”
“On GDPval-AA —an evaluation of performance on economically valuable knowledge work tasks in finance, legal, and other domains 2 —Opus 4.6 outperforms the industry’s next-best model (OpenAI’s GPT-5.2) by around 144 Elo points, 3 and its own predecessor (Claude Opus 4.5) by 190 points.”
“With Opus 4.6, we’ve found that the model brings more focus to the most challenging parts of a task without being told to, moves quickly through the more straightforward parts, handles ambiguous problems with better judgment, and stays productive over longer sessions.”
“This produces better results on harder problems, but can add cost and latency on simpler ones.”
“Claude Opus 4.6 is the strongest model Anthropic has shipped. It takes complicated requests and actually follows through, breaking them into concrete steps, executing, and producing polished work even when the task is ambitious.”
Sarah Sachs
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