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Claude Opus 4.6

AnthropicSupersededReleased February 2026
Overall Score
91Prov. #6 of 110Verified #3 of 14
Arena Elo
1497
Categories Ranked
8of 8
Price (1M tokens)
$5 in / $25 out
Speed
40tok/s
Context
1M
ProprietaryNon-Reasoning
Confidence
base

According to BenchLM.ai, Claude Opus 4.6 ranks #6 out of 110 models on the provisional leaderboard with an overall score of 91/100. It also ranks #3 out of 14 on the verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.

Claude Opus 4.6 is a proprietary model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 24 of 152 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 Instruction Following (#4), while its weakest is Multimodal & Grounded (#18). 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

#5
91.5/ 100
Weight: 22%4 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#5
90.3/ 100
Weight: 20%5 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#5
90.0/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#7
92.5/ 100
Weight: 12%9 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#14
89.4/ 100
Weight: 5%1 benchmark
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#4
100.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#18
84.2/ 100
Weight: 12%5 benchmarks
MMMU-ProOfficeQA Pro

Inst. Following

#4
94.8/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1497CI: ±5.019,373 votes
Coding1549CI: ±9.24,624 votes
Math1503CI: ±16.41,269 votes
Instruction Following1496CI: ±8.45,458 votes
Creative Writing1471CI: ±11.42,971 votes
Multi-turn1511CI: ±10.73,281 votes
Hard Prompts1530CI: ±6.310,940 votes
Hard Prompts (English)1538CI: ±8.75,200 votes
Longer Query1519CI: ±8.45,558 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 Opus 4.6 perform overall in AI benchmarks?

Claude Opus 4.6 currently ranks #6 out of 110 models on BenchLM's provisional leaderboard with an overall score of 91. It also ranks #3 out of 14 on the verified leaderboard. It is created by Anthropic and features a 1M context window.

Is Claude Opus 4.6 good for knowledge and understanding?

Claude Opus 4.6 ranks #7 out of 110 models in knowledge and understanding benchmarks with an average score of 92.5. It is among the top performers in this category.

Is Claude Opus 4.6 good for coding and programming?

Claude Opus 4.6 ranks #5 out of 110 models in coding and programming benchmarks with an average score of 90.3. It is among the top performers in this category.

Is Claude Opus 4.6 good for mathematics?

Claude Opus 4.6 ranks #14 out of 110 models in mathematics benchmarks with an average score of 89.4. There are stronger options in this category.

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

Claude Opus 4.6 ranks #5 out of 110 models in agentic tool use and computer tasks benchmarks with an average score of 91.5. It is among the top performers in this category.

Is Claude Opus 4.6 good for multimodal and grounded tasks?

Claude Opus 4.6 ranks #18 out of 110 models in multimodal and grounded tasks benchmarks with an average score of 84.2. There are stronger options in this category.

Does Claude Opus 4.6 have full benchmark coverage on BenchLM?

Not yet. Claude Opus 4.6 currently has 24 published benchmark scores out of the 152 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 Opus 4.6?

Claude Opus 4.6 has a context window of 1M, which determines how much text it can process in a single interaction.

Last updated: April 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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