… Also launching today In addition to Claude Opus 4.7 itself, we’re launching the following updates: More effort control : Opus 4.7 introduces a new xhigh “extra high” effort level between high and max , giving users finer control over the tradeoff between reasoning and latency on hard problems. …
… It builds on Opus 4.7 with improvements across benchmarks, and is a more effective collaborator. It’s available today for the same price. Opus 4.8 launches alongside several new features. …
… A system prompt change to reduce verbosity Our latest model, Claude Opus 4.7, has a notable behavioral quirk relative to its predecessor: as we wrote about at launch, it tends to be quite verbose. …
… Ahead of launching Mythos Preview and Opus 4.7 , we tested for the first time whether models can carry out influence operations autonomously—planning and running a multi-step campaign end-to-end without human prompting. …
… We’ve therefore launched the model with safeguards that mean queries on some topics will instead receive a response from our next-most-capable model, Claude Opus 4.8. …
… When we pointed Opus 4.6 at some of the most well-tested codebases projects that have had fuzzers running against them for years, accumulating millions of hours of CPU time , Opus 4.6 found high-severity vulnerabilities, some that had gone undetected for decades. …
… Anthropic ran the Opus 4.6 and Mythos Preview trials. …
… 3 We evaluated models that were considered "frontier" based on their release dates throughout the year: Llama 3, GPT-4o, DeepSeek V3, Sonnet 3.7, o3, Opus 4, Opus 4.1, GPT-5, Sonnet 4.5, and Opus 4.5. …
… Here, Claude Opus 4.5, our latest model, represents a major forward step: In addition, Opus 4.5 with extended thinking improves on earlier Claude models in producing correct answers on our suite of honesty evaluations, reflecting the progress we’ve made on factual hallucinations. …
… From our launch blog: " Opus 4.6 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." It also improved substantially on long-context retrieval. …