Agentic coding performance
Anthropic reports a 70.6% score on Terminal-Bench 4.0, compared with 10.3% for Sonnet 5. The evaluation measures multi-step professional tasks completed in a command-line interface.
Claude Sonnet 5.5 is Anthropic's AI model for well-scoped coding, knowledge work, document creation, spreadsheets, and computer-interface tasks. It is designed for users who need faster iteration and lower per-task costs than Claude Sonnet 5, while more complex open-ended work may be better suited to Claude Opus 5.5.
Claude Sonnet 5.5 is Anthropic’s second model in the Claude 5.5 family and a faster, lower-cost complement to Claude Opus 5.5. It is designed for well-scoped everyday work, bug fixing, and creating polished documents, presentations, and spreadsheets, with additional strength in design-oriented tasks and image understanding.
Compared with Claude Sonnet 5, Anthropic reports more than 30% faster output generation, substantially higher scores on several coding evaluations, and up to 30% lower cost per task in its testing. Opus 5.5 remains the better fit for complex, open-ended work that requires sustained judgment, while Sonnet 5.5 is positioned for faster iteration on less complex tasks.
Anthropic reports a 70.6% score on Terminal-Bench 4.0, compared with 10.3% for Sonnet 5. The evaluation measures multi-step professional tasks completed in a command-line interface.
On FrontierCode at High effort, Sonnet 5.5 scores 46.2%; on CursorBench 4.0, it scores 55.5%. These evaluations cover merge-worthy code changes and ambiguous, multi-file tasks from real Cursor sessions.
The model scores 1844 on GDPval-AA v2.1 and 1811 on AA-Briefcase v1.1 in the published comparison. Anthropic describes these evaluations as covering real-world and long-horizon knowledge work.
Sonnet 5.5 scores 80.1% partial on OSWorld 2.1 for computer use and 61.6% without tools on Chartography for visual chart recognition. Anthropic also highlights image understanding and screenshot-based task performance.
Anthropic says Sonnet 5.5 generates outputs more than 30% faster than Sonnet 5. It also reports that the model often batches tool calls, which can reduce the number of steps needed for coding tasks.
The model has the same listed token rates as Sonnet 5, while Anthropic reports up to 30% lower cost per task in its testing because Sonnet 5.5 typically uses fewer tokens for the same work.
Use Sonnet 5.5 to inspect repositories, make multi-file changes, fix bugs, and work through command-line tasks. Its reported coding results and faster iteration are relevant when engineers need frequent feedback during implementation.
Use the model for well-defined research, analysis, and document-production tasks where the output can be reviewed and refined. Anthropic’s knowledge-work evaluations include both occupational tasks and longer-horizon work.
Generate or revise polished documents, presentations, and spreadsheets, then iterate quickly on wording, structure, or formatting.
Apply the model to workflows that involve screenshots, charts, or computer interfaces. Anthropic reports results for computer use, visual chart recognition, and screenshot-based task performance.
Claude Sonnet 5.5 is intended for well-scoped everyday tasks, bug fixing, and producing polished documents, slides, and spreadsheets. Anthropic positions Claude Opus 5.5 as the stronger option for complex, open-ended work requiring sustained judgment.
Anthropic reports that Sonnet 5.5 generates outputs more than 30% faster than Sonnet 5. It is described as the fastest Sonnet model to date.
Anthropic lists API rates of $2 per million input tokens, $10 per million output tokens, and $0.20 per million tokens for cache reads. The company says the model typically uses fewer tokens and costs up to 30% less per task than Sonnet 5 in its testing.
The model is available through Anthropic’s Claude offerings and API pricing. The Claude pricing page lists web, desktop, and mobile access across plans, while specific model availability can vary by plan and product.
Anthropic says Sonnet 5.5 launched with cybersecurity safeguards and fallbacks because its cybersecurity capabilities are comparable to Opus 5’s. Its biology safeguards are the same as Sonnet 5’s, and the safeguards target a narrow set of high-risk requests.
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