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Sonnet 4.6 is Anthropicâs most capable Sonnet model yet, delivering a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. It features a 1M token context window in beta and approaches Opus-level intelligence at a price point that makes it practical for far more tasks. Pricing remains the same as Sonnet 4.5, starting at $3/$15 per million tokens, making it the default model for Free and Pro users on claude.ai and Claude Cowork.
Sonnet 4.6 shows a major improvement in computer use skills compared to prior Sonnet models. Early users report human-level capability in tasks like navigating complex spreadsheets or completing multi-step web forms, all coordinated across multiple browser tabs.
The model supports a 1M token context window in beta, allowing it to process and reason over extremely long documents, codebases, or conversation histories without losing coherence.
Sonnet 4.6 has improved on benchmarks across the board, approaching Opus-level intelligence. Developers with early access prefer Sonnet 4.6 to its predecessor by a wide margin, and often even to Claude Opus 4.5 from November 2025.
Extensive safety evaluations show Sonnet 4.6 is as safe as, or safer than, other recent Claude models. Safety researchers describe it as having âa broadly warm, honest, prosocial, and at times funny character, very strong safety behaviors, and no signs of major concerns around high-stakes forms of misalignment.â
Performance that would have previously required reaching for an Opus-class model is now available with Sonnet 4.6 at a Sonnet price point.
This democratization of high-end AI capability means economically valuable office tasksâfrom complex spreadsheet navigation to multi-step web form completionâare now accessible to far more users. The modelâs steady gains on the OSWorld benchmark for computer use, combined with improved resistance to prompt injection attacks, make it a practical choice for organizations that need reliable automation without custom API integrations.
You need a model that balances near-Opus intelligence with Sonnet-level affordability, especially for coding, computer use, or long-context reasoning tasks. Itâs also worth checking out if your organization relies on legacy software thatâs difficult to automate through traditional APIs, or if you want a default model that handles everything from agent planning to design work without switching between tiers.
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