Model profile
Claude Sonnet 5
Evidence coverage
36 of 323 tracked benchmarks are published. 16 are verified and 20 provisional. 5 of 8 categories are measured.
- Published / tracked
- 36 / 323
- Verified
- 16
- Provisional
- 20
- Categories with evidence
- 5 / 8
Evidence by category
- Agentic13 benchmarksMixed evidence
- Coding9 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge8 benchmarksMixed evidence
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal4 benchmarksMixed evidence
- Inst. Following0 benchmarksNot measured
Claude Sonnet 5 ranks #29 out of 200 models on the public leaderboard with an overall score of 65.32/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. This places it in the mid-tier of AI models, with strengths in specific benchmark categories.
Claude Sonnet 5 is a proprietary model with a 1M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
BenchLM links it directly to Claude Sonnet 4.6 as the earlier related model in that lineage. This profile currently has 36 of 323 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 Knowledge (#3), while its weakest is Agentic (#15). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
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 64.75–66.27
- Claude Opus 4.7 (Adaptive)AnthropicCompare#2766.27Claude Opus 4.7 (Adaptive) is #27 with a score of 66.27.
- GLM-5Z.AICompare#2866.06GLM-5 is #28 with a score of 66.06.
- Claude Sonnet 5Current modelAnthropic#2965.32Claude Sonnet 5 is #29 with a score of 65.32.
- Qwen3.6 PlusAlibabaCompare#3065.2Qwen3.6 Plus is #30 with a score of 65.2.
- Grok 4.3xAICompare#3165.1Grok 4.3 is #31 with a score of 65.1.
- Claude Sonnet 4.6AnthropicCompare#3265.07Claude Sonnet 4.6 is #32 with a score of 65.07.
- Gemini 3.5 FlashGoogleCompare#3364.75Gemini 3.5 Flash is #33 with a score of 64.75.
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.
- Knowledge96%Eligible cohort rank #3 of 52Category score 91.2
- Multimodal82%Eligible cohort rank #6 of 29Category score 78.9
- Coding93%Eligible cohort rank #9 of 122Category score 68.4
- Agentic88%Eligible cohort rank #15 of 119Category score 58.7
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 #15 of 119Percentile 88thWeight 22%13 benchmarksMixed sources | 58.7 | #15 of 119 | 88th | 22% | 13 benchmarks | Mixed sources |
| CodingRank #9 of 122Percentile 93rdWeight 20%9 benchmarksMixed sources | 68.4 | #9 of 122 | 93rd | 20% | 9 benchmarks | Mixed sources |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank #3 of 52Percentile 96thWeight 12%8 benchmarksMixed sources | 91.2 | #3 of 52 | 96th | 12% | 8 benchmarks | Mixed sources |
| 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 #6 of 29Percentile 82ndWeight 12%4 benchmarksMixed sources | 78.9 | #6 of 29 | 82nd | 12% | 4 benchmarks | Mixed sources |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1461 | ±6.4 | 12,645 |
| Coding | 1524 | ±10.6 | 3,543 |
| Math | 1465 | ±23.9 | 576 |
| Instruction Following | 1459 | ±9.6 | 4,250 |
| Creative Writing | 1430 | ±13.2 | 2,167 |
| Multi-turn | 1470 | ±13.0 | 2,220 |
| Hard Prompts | 1490 | ±7.5 | 8,369 |
| Hard Prompts (English) | 1490 | ±10.0 | 3,924 |
| Longer Query | 1480 | ±8.9 | 5,561 |
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.
Agentic13 benchmarks
Humanity's Last Exam with tools
Artificial Analysis Agentic Index
GDPval-AA normalized
Artificial Analysis Briefcase
Artificial Analysis AutomationBench
Artificial Analysis EnterpriseOps-Gym
Artificial Analysis Harvey LAB-AA
Artificial Analysis Tau3-Banking
Coding9 benchmarks
Software Engineering Benchmark Verified
SWE-bench Multimodal
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge8 benchmarks
Humanity's Last Exam
Humanity's Last Exam without tools
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Multimodal4 benchmarks
CharXiv Reasoning
CharXiv Reasoning without tools
Artificial Analysis MMMU-Pro
Design Arena Website Elo
Frequently Asked Questions
How does Claude Sonnet 5 perform overall in AI benchmarks?
Claude Sonnet 5 currently ranks #29 out of 200 models on BenchLM's provisional leaderboard with an overall score of 65.32. It is created by Anthropic. Its published context window is 1M.
Is Claude Sonnet 5 good for knowledge and understanding?
Claude Sonnet 5 ranks #3 out of 52 models in knowledge and understanding benchmarks with an average score of 91.2. It is among the top performers in this category.
Is Claude Sonnet 5 good for coding and programming?
Claude Sonnet 5 ranks #9 out of 122 models in coding and programming benchmarks with an average score of 68.4. It is among the top performers in this category.
Is Claude Sonnet 5 good for reasoning and logic?
Claude Sonnet 5 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Claude Sonnet 5 good for agentic tool use and computer tasks?
Claude Sonnet 5 ranks #15 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 58.7. There are stronger options in this category.
Is Claude Sonnet 5 good for multimodal and grounded tasks?
Claude Sonnet 5 ranks #6 out of 29 models in multimodal and grounded tasks benchmarks with an average score of 78.9. It is among the top performers in this category.
Does Claude Sonnet 5 have full benchmark coverage on BenchLM?
Not yet. Claude Sonnet 5 currently has 36 published benchmark scores out of the 323 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 Sonnet 5?
Claude Sonnet 5 has a published context window of 1M, which determines how much text it can process in a single interaction.
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