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Claude Opus 4.7 (Adaptive)

AnthropicCurrentReleased Apr 16, 2026
Overall Score
86Prov. #11 of 118Verified #8 of 23
Arena Elo
1503
Categories Ranked
4of 8
Price (1M tokens)
$5 in / $25 out
Speed
N/A
Context
1M
ProprietaryReasoning
Confidence
reasoning

According to BenchLM.ai, Claude Opus 4.7 (Adaptive) ranks #11 out of 118 models on the provisional leaderboard with an overall score of 86/100. It also ranks #8 out of 23 on the verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.

Claude Opus 4.7 (Adaptive) 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.

Claude Opus 4.7 (Adaptive) sits inside the Claude Opus 4.7 family alongside Claude Opus 4.7. BenchLM links it directly to Claude Opus 4.6 as the earlier related model in that lineage. This profile currently has 18 of 178 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 Coding (#2), while its weakest is Multimodal & Grounded (#106). This performance profile makes it particularly well-suited for software development and code generation tasks.

Ranking Distribution

Category rank across 6 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#4
94.6/ 100
Weight: 22%5 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#2
95.2/ 100
Weight: 20%3 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

91.8/ 100
Weight: 17%2 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#2
99.2/ 100
Weight: 12%4 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

74.6/ 100
Weight: 5%1 benchmark
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

0.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#106
6.7/ 100
Weight: 12%3 benchmarks
MMMU-ProOfficeQA Pro

Inst. Following

0.0/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1503CI: ±8.05,321 votes
Coding1572CI: ±16.51,266 votes
Math1496CI: ±33.4293 votes
Instruction Following1502CI: ±14.41,642 votes
Creative Writing1499CI: ±19.9930 votes
Multi-turn1527CI: ±21.2759 votes
Hard Prompts1527CI: ±10.43,143 votes
Hard Prompts (English)1538CI: ±14.61,578 votes
Longer Query1520CI: ±13.91,744 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 4.7 Family

reasoning · adaptive

Canonical Entry

Claude Opus 4.7

Related Earlier Model

Claude Opus 4.6
Claude Opus 4.7

Compare This Model

See how Claude Opus 4.7 (Adaptive) stacks up against similar models

Claude Opus 4.7Anthropic
—
Claude Mythos PreviewAnthropic
Prov. 99
Claude Opus 4.6Anthropic
Prov. 88
Claude Sonnet 4.6Anthropic
Prov. 84
Gemini 3.1 ProGoogle
Prov. 93

Frequently Asked Questions

How does Claude Opus 4.7 (Adaptive) perform overall in AI benchmarks?

Claude Opus 4.7 (Adaptive) currently ranks #11 out of 118 models on BenchLM's provisional leaderboard with an overall score of 86. It also ranks #8 out of 23 on the verified leaderboard. It is created by Anthropic and features a 1M context window.

Is Claude Opus 4.7 (Adaptive) good for knowledge and understanding?

Claude Opus 4.7 (Adaptive) ranks #2 out of 118 models in knowledge and understanding benchmarks with an average score of 99.2. It is among the top performers in this category.

Is Claude Opus 4.7 (Adaptive) good for coding and programming?

Claude Opus 4.7 (Adaptive) ranks #2 out of 118 models in coding and programming benchmarks with an average score of 95.2. It is among the top performers in this category.

Is Claude Opus 4.7 (Adaptive) good for mathematics?

Claude Opus 4.7 (Adaptive) has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.

Is Claude Opus 4.7 (Adaptive) good for reasoning and logic?

Claude Opus 4.7 (Adaptive) has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is Claude Opus 4.7 (Adaptive) good for agentic tool use and computer tasks?

Claude Opus 4.7 (Adaptive) ranks #4 out of 118 models in agentic tool use and computer tasks benchmarks with an average score of 94.6. It is among the top performers in this category.

Is Claude Opus 4.7 (Adaptive) good for multimodal and grounded tasks?

Claude Opus 4.7 (Adaptive) ranks #106 out of 118 models in multimodal and grounded tasks benchmarks with an average score of 6.7. There are stronger options in this category.

Which sibling models are related to Claude Opus 4.7 (Adaptive)?

Claude Opus 4.7 (Adaptive) belongs to the Claude Opus 4.7 family. Related variants on BenchLM include Claude Opus 4.7.

Does Claude Opus 4.7 (Adaptive) have full benchmark coverage on BenchLM?

Not yet. Claude Opus 4.7 (Adaptive) currently has 18 published benchmark scores out of the 178 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 4.7 (Adaptive)?

Claude Opus 4.7 (Adaptive) has a context window of 1M, which determines how much text it can process in a single interaction.

Related Resources

More from Anthropic LLM Pricing Comparison BenchLM Methodology The AI Race Which LLM Should I Use? Benchmark Explainers
Last updated: April 24, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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