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Claude Sonnet 4.6

AnthropicCurrentReleased February 2026
Overall Score
83Prov. #15 of 115
Arena Elo
1463
Categories Ranked
8of 8
Price (1M tokens)
$3 in / $15 out
Speed
44tok/s
Context
200K
ProprietaryNon-Reasoning
Confidence
base

According to BenchLM.ai, Claude Sonnet 4.6 ranks #15 out of 115 models on the provisional leaderboard with an overall score of 83/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.

Claude Sonnet 4.6 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 13 of 193 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 Multilingual (#8), while its weakest is Mathematics (#27). This performance profile makes it a well-rounded choice across a range of tasks.

Ranking Distribution

Category rank across 8 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#12
81.4/ 100
Weight: 22%4 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#15
83.1/ 100
Weight: 20%4 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#13
82.6/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#10
83.9/ 100
Weight: 12%4 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#27
76.8/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#8
91.3/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#13
83.8/ 100
Weight: 12%1 benchmark
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

#26
83.3/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1463CI: ±5.315,794 votes
Coding1521CI: ±9.83,707 votes
Math1468CI: ±17.51,076 votes
Instruction Following1475CI: ±8.94,459 votes
Creative Writing1442CI: ±12.22,443 votes
Multi-turn1482CI: ±11.22,805 votes
Hard Prompts1499CI: ±6.79,025 votes
Hard Prompts (English)1504CI: ±9.14,359 votes
Longer Query1496CI: ±8.84,685 votes

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Frequently Asked Questions

How does Claude Sonnet 4.6 perform overall in AI benchmarks?

Claude Sonnet 4.6 currently ranks #15 out of 115 models on BenchLM's provisional leaderboard with an overall score of 83. It is created by Anthropic and features a 200K context window.

Is Claude Sonnet 4.6 good for knowledge and understanding?

Claude Sonnet 4.6 ranks #10 out of 115 models in knowledge and understanding benchmarks with an average score of 83.9. It is among the top performers in this category.

Is Claude Sonnet 4.6 good for coding and programming?

Claude Sonnet 4.6 ranks #15 out of 115 models in coding and programming benchmarks with an average score of 83.1. There are stronger options in this category.

Is Claude Sonnet 4.6 good for agentic tool use and computer tasks?

Claude Sonnet 4.6 ranks #12 out of 115 models in agentic tool use and computer tasks benchmarks with an average score of 81.4. There are stronger options in this category.

Is Claude Sonnet 4.6 good for multimodal and grounded tasks?

Claude Sonnet 4.6 ranks #13 out of 115 models in multimodal and grounded tasks benchmarks with an average score of 83.8. There are stronger options in this category.

Does Claude Sonnet 4.6 have full benchmark coverage on BenchLM?

Not yet. Claude Sonnet 4.6 currently has 13 published benchmark scores out of the 193 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 4.6?

Claude Sonnet 4.6 has a context window of 200K, which determines how much text it can process in a single interaction.

Last updated: May 13, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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