benchmarks
Claude Sonnet 4 is Anthropic’s hybrid-reasoning model for coding, analysis and tool-driven workflows, with standard API pricing of $3 per million input tokens and $15 per million output tokens. Claude Sonnet 4.5 subsequently shipped; this profile remains specific to the original Sonnet 4.
Benchmark results
Every figure links to where it was published. Compare like with like — harnesses and prompt setups differ between vendors.
| Benchmark | Score | Source |
|---|---|---|
| AIMECompetition mathematics | 70.5%22 May 2025 | View |
| GPQA DiamondPhD-level science questions | 75.4%22 May 2025 | View |
| MMMUMultimodal (image + text) understanding | 74.4%22 May 2025 | View |
| SWE-bench VerifiedResolving real GitHub issues | 72.7%22 May 2025 | View |
| Tau-benchTool-using customer-workflow agents | 80.5%22 May 2025 | View |
| Terminal-BenchLong-horizon command-line agent tasks | 35.5%22 May 2025 | View |
| OTIS Mock AIME 2024-25Competition mathematics | 71.1%22 May 2025 | View |
| FrontierMath | 4.1%4 Jul 2025 | View |
| MATH Level 5 | 84.4%22 May 2025 | View |
| Aider PolyglotCode editing across six programming languages | 56.4%24 May 2025 | View |
| LiveCodeBenchFresh competitive-programming problems | 68.5%1 May 2025 | View |
Weighted mean of 11 verified benchmark results: AIME 70.5%, GPQA Diamond 75.4%, MMMU 74.4%, SWE-bench Verified 72.7%, Tau-bench 80.5%, Terminal-Bench 35.5%, OTIS Mock AIME 2024-25 71.1%, FrontierMath 4.1%, MATH Level 5 84.4%, Aider Polyglot 56.4%, LiveCodeBench 68.5%.
Capabilities
- Supports both standard responses and extended thinking for more demanding reasoning tasks.
- Generates, edits and debugs code, including repository-level software engineering tasks.
- Can alternate extended thinking with tool calls in supported workflows.
- Processes text and images for document analysis and visual question answering.
- Supports long-context analysis, including a documented 1M-token beta option for eligible users.
What improved
- Higher published SWE-bench Verified performance than Claude Sonnet 3.7.
- Higher published AIME 2025 performance than Claude Sonnet 3.7.
- Anthropic reports improved instruction following and more precise responses.
- Anthropic reports reduced shortcut-taking and reward-hacking behavior relative to Claude Sonnet 3.7.
- Introduced interleaved thinking and tool use for extended-reasoning workflows.
Known flaws & limitations
- Published GPQA Diamond and MMMU results are below Claude Sonnet 3.7’s results, so benchmark gains are not uniform.
- The published Terminal-Bench result shows substantial remaining limitations on complex terminal workflows.
- Tool-assisted performance varies by domain; strong coding results do not establish reliable autonomous operation.
- The 1M-token context option has eligibility requirements and premium pricing above 200K input tokens.
- Generated code, factual claims and tool-derived conclusions still require independent validation.
Risks, safety & security issues
- Anthropic has documented Claude Code misuse for data theft and extortion; this is application-level evidence, not confirmation of a particular Sonnet checkpoint.
- Malicious actors can disguise harmful requests as legitimate security work to evade safeguards.
- Broad filesystem, network and credential access can magnify the consequences of unsafe agent actions.
- Untrusted documents, websites and tool outputs can carry prompt-injection instructions into agentic workflows.
Good fit for
- Supervised software development, debugging and repository maintenance.
- Document analysis and synthesis across large collections of text.
- Tool-assisted research and operational workflows with explicit permissions.
- Mathematical and technical problem solving with independent checks.
Poor fit for
- Unsupervised agents with unrestricted production, credential or financial access.
- High-stakes decisions without qualified human review.
- Workflows requiring consistently reliable autonomous terminal operation.
- Applications that treat untrusted retrieved content as authoritative instructions.
References
Profile last reviewed 10/27/2026 and re-checked automatically every few hours against the vendor's published documentation, papers and public leaderboards. Scores come from the cited benchmark results above — confirm limits and pricing against the provider's own documentation before building on them.