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Claude Opus 4.6

AnthropicSupersededReleased February 2026
Overall Score
87Prov. #10 of 119Verified #6 of 28
Arena Elo
1498
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 #10 out of 119 models on the provisional leaderboard with an overall score of 87/100. It also ranks #6 out of 28 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.

Claude Opus 4.6 sits inside the Claude Opus 4.6 family alongside Claude Opus 4.6 (Adaptive). This profile currently has 46 of 225 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 (#5), while its weakest is Multimodal & Grounded (#19). 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

#11
84.4/ 100
Weight: 22%11 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#11
85.9/ 100
Weight: 20%10 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#8
87.8/ 100
Weight: 17%2 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#8
90.7/ 100
Weight: 12%15 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#18
86.3/ 100
Weight: 5%1 benchmark
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#5
100.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#19
76.8/ 100
Weight: 12%6 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

#5
95.3/ 100
Weight: 5%1 benchmark
IFEvalIFBench

Chatbot Arena Performance

Text Overall1498CI: ±4.236,512 votes
Coding1546CI: ±7.09,596 votes
Math1506CI: ±12.82,230 votes
Instruction Following1502CI: ±6.511,194 votes
Creative Writing1477CI: ±8.75,665 votes
Multi-turn1513CI: ±8.26,380 votes
Hard Prompts1529CI: ±5.222,297 votes
Hard Prompts (English)1533CI: ±6.610,956 votes
Longer Query1517CI: ±6.413,077 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.

Claude Opus 4.6 Family

Base entry

Frequently Asked Questions

How does Claude Opus 4.6 perform overall in AI benchmarks?

Claude Opus 4.6 currently ranks #10 out of 119 models on BenchLM's provisional leaderboard with an overall score of 87. It also ranks #6 out of 28 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 #8 out of 119 models in knowledge and understanding benchmarks with an average score of 90.7. It is among the top performers in this category.

Is Claude Opus 4.6 good for coding and programming?

Claude Opus 4.6 ranks #11 out of 119 models in coding and programming benchmarks with an average score of 85.9. There are stronger options in this category.

Is Claude Opus 4.6 good for mathematics?

Claude Opus 4.6 ranks #18 out of 119 models in mathematics benchmarks with an average score of 86.3. There are stronger options in this category.

Is Claude Opus 4.6 good for reasoning and logic?

Claude Opus 4.6 ranks #8 out of 119 models in reasoning and logic benchmarks with an average score of 87.8. It is among the top performers in this category.

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

Claude Opus 4.6 ranks #11 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 84.4. There are stronger options in this category.

Is Claude Opus 4.6 good for multimodal and grounded tasks?

Claude Opus 4.6 ranks #19 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 76.8. There are stronger options in this category.

Is Claude Opus 4.6 good for instruction following?

Claude Opus 4.6 ranks #5 out of 119 models in instruction following benchmarks with an average score of 95.3. It is among the top performers in this category.

Which sibling models are related to Claude Opus 4.6?

Claude Opus 4.6 belongs to the Claude Opus 4.6 family. Related variants on BenchLM include Claude Opus 4.6 (Adaptive).

Does Claude Opus 4.6 have full benchmark coverage on BenchLM?

Not yet. Claude Opus 4.6 currently has 46 published benchmark scores out of the 225 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: June 2, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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