Model profile
Data verifiedEvidence coverage
16 of 321 tracked benchmarks are published. 3 are verified and 13 provisional. 6 of 8 categories are measured.
- Published / tracked
- 16 / 321
- Verified
- 3
- Provisional
- 13
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic3 benchmarksMixed evidence
- Coding2 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal2 benchmarksReported
- Inst. Following1 benchmarkReported
Claude 4 Sonnet ranks #158 out of 200 models on the public leaderboard with an overall score of 42.79/100. It also ranks #74 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Claude 4 Sonnet is a proprietary model with a 200K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 16 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Agentic (#85), while its weakest is Coding (#96). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 42.06–43.2
- Gemma 4 E4BGoogleCompare#15543.2Gemma 4 E4B is #155 with a score of 43.2.
- Mistral Medium 3MistralCompare#15643.2Mistral Medium 3 is #156 with a score of 43.2.
- Sarvam 105BSarvamCompare#15742.97Sarvam 105B is #157 with a score of 42.97.
- Claude 4 SonnetCurrent modelAnthropic#15842.79Claude 4 Sonnet is #158 with a score of 42.79.
- GPT-OSS 20BOpenAICompare#15942.74GPT-OSS 20B is #159 with a score of 42.74.
- DeepSeek R1 Distill Qwen 32BDeepSeekCompare#16042.58DeepSeek R1 Distill Qwen 32B is #160 with a score of 42.58.
- GPT-4.1 nanoOpenAICompare#16142.06GPT-4.1 nano is #161 with a score of 42.06.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Agentic29%Eligible cohort rank #85 of 119Category score 42.8
- Coding21%Eligible cohort rank #96 of 122Category score 43.9
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #85 of 119Percentile 29thWeight 22%3 benchmarksMixed sources | 42.8 | #85 of 119 | 29th | 22% | 3 benchmarks | Mixed sources |
| CodingRank #96 of 122Percentile 21stWeight 20%2 benchmarksMixed sources | 43.9 | #96 of 122 | 21st | 20% | 2 benchmarks | Mixed sources |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 71.4 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksReported | 45.8 | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%2 benchmarksReported | 79.8 | Not ranked | Not available | 12% | 2 benchmarks | Reported |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 83.0 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1239 | Not available | Not available |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic3 benchmarks
τ²-Bench Tool-Agent-User Evaluation
Gert Labs Composite Game Benchmark
Coding2 benchmarks
Software Engineering Benchmark Verified
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Multimodal2 benchmarks
Artificial Analysis MMMU-Pro
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Claude 4 Sonnet perform overall in AI benchmarks?
Claude 4 Sonnet has 16 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Claude 4 Sonnet good for knowledge and understanding?
Claude 4 Sonnet has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Claude 4 Sonnet good for coding and programming?
Claude 4 Sonnet ranks #96 out of 122 models in coding and programming benchmarks with an average score of 43.9. There are stronger options in this category.
Is Claude 4 Sonnet good for reasoning and logic?
Claude 4 Sonnet has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Claude 4 Sonnet good for agentic tool use and computer tasks?
Claude 4 Sonnet ranks #85 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 42.8. There are stronger options in this category.
Is Claude 4 Sonnet good for multimodal and grounded tasks?
Claude 4 Sonnet has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Claude 4 Sonnet good for instruction following?
Claude 4 Sonnet has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Does Claude 4 Sonnet have full benchmark coverage on BenchLM?
Not yet. Claude 4 Sonnet currently has 16 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Claude 4 Sonnet?
Claude 4 Sonnet has a published context window of 200K, which determines how much text it can process in a single interaction.
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