Model profile
Claude Opus 4.7 (Adaptive)
Evidence coverage
38 of 323 tracked benchmarks are published. 15 are verified and 23 provisional. 7 of 8 categories are measured.
- Published / tracked
- 38 / 323
- Verified
- 15
- Provisional
- 23
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic12 benchmarksMixed evidence
- Coding5 benchmarksMixed evidence
- Reasoning4 benchmarksReported
- Knowledge10 benchmarksMixed evidence
- Math1 benchmarkReported
- Multilingual0 benchmarksNot measured
- Multimodal5 benchmarksMixed evidence
- Inst. Following1 benchmarkReported
Claude Opus 4.7 (Adaptive) ranks #27 out of 200 models on the public leaderboard with an overall score of 66.27/100. 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 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 38 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 Agentic (#5), while its weakest is Multimodal & Grounded (#23). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
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 66.06–67.17
- GPT-5.6 LunaOpenAICompare#2267.17GPT-5.6 Luna is #22 with a score of 67.17.
- GPT-5.2 ProOpenAICompare#2367.01GPT-5.2 Pro is #23 with a score of 67.01.
- GLM-5-TurboZ.AICompare#2466.89GLM-5-Turbo is #24 with a score of 66.89.
- GPT-5.4 nanoOpenAICompare#2566.79GPT-5.4 nano is #25 with a score of 66.79.
- GPT-5.3 CodexOpenAICompare#2666.69GPT-5.3 Codex is #26 with a score of 66.69.
- Claude Opus 4.7 (Adaptive)Current modelAnthropic#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.
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.
- Knowledge92%Eligible cohort rank #5 of 52Category score 87.5
- Agentic97%Eligible cohort rank #5 of 119Category score 65.9
- Coding88%Eligible cohort rank #15 of 122Category score 62.8
- Multimodal21%Eligible cohort rank #23 of 29Category score 50.5
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 #5 of 119Percentile 97thWeight 22%12 benchmarksMixed sources | 65.9 | #5 of 119 | 97th | 22% | 12 benchmarks | Mixed sources |
| CodingRank #15 of 122Percentile 88thWeight 20%5 benchmarksMixed sources | 62.8 | #15 of 122 | 88th | 20% | 5 benchmarks | Mixed sources |
| ReasoningRank Not rankedWeight 17%4 benchmarksReported | 85.8 | Not ranked | Not available | 17% | 4 benchmarks | Reported |
| KnowledgeRank #5 of 52Percentile 92ndWeight 12%10 benchmarksMixed sources | 87.5 | #5 of 52 | 92nd | 12% | 10 benchmarks | Mixed sources |
| MathWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #23 of 29Percentile 21stWeight 12%5 benchmarksMixed sources | 50.5 | #23 of 29 | 21st | 12% | 5 benchmarks | Mixed sources |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1502 | ±4.2 | 49,798 |
| Coding | 1553 | ±6.6 | 14,244 |
| Math | 1504 | ±12.3 | 2,532 |
| Instruction Following | 1504 | ±6.2 | 16,905 |
| Creative Writing | 1488 | ±7.9 | 8,434 |
| Multi-turn | 1518 | ±7.7 | 8,703 |
| Hard Prompts | 1526 | ±5.0 | 33,058 |
| Hard Prompts (English) | 1526 | ±6.2 | 16,480 |
| Longer Query | 1517 | ±5.9 | 21,959 |
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.
Agentic12 benchmarks
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Artificial Analysis ITBench-AA
Coding5 benchmarks
Software Engineering Benchmark Verified
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning4 benchmarks
Abstraction and Reasoning Corpus for AGI v2
OpenAI MRCR v2 8-needle 128K-256K
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge10 benchmarks
Humanity's Last Exam
Graduate-Level Google-Proof Q&A
GPQA Diamond
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
Math1 benchmark
FrontierMath legacy aggregate
Multimodal5 benchmarks
CharXiv Reasoning
CharXiv Reasoning without tools
Artificial Analysis MMMU-Pro
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Claude Opus 4.7 Family
reasoning · adaptive
Canonical Entry
Claude Opus 4.7Related Earlier Model
Claude Opus 4.6Frequently Asked Questions
How does Claude Opus 4.7 (Adaptive) perform overall in AI benchmarks?
Claude Opus 4.7 (Adaptive) currently ranks #27 out of 200 models on BenchLM's provisional leaderboard with an overall score of 66.27. It is created by Anthropic. Its published context window is 1M.
Is Claude Opus 4.7 (Adaptive) good for knowledge and understanding?
Claude Opus 4.7 (Adaptive) ranks #5 out of 52 models in knowledge and understanding benchmarks with an average score of 87.5. 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 #15 out of 122 models in coding and programming benchmarks with an average score of 62.8. There are stronger options 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 #5 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 65.9. 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 #23 out of 29 models in multimodal and grounded tasks benchmarks with an average score of 50.5. There are stronger options in this category.
Is Claude Opus 4.7 (Adaptive) good for instruction following?
Claude Opus 4.7 (Adaptive) has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
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 38 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 Opus 4.7 (Adaptive)?
Claude Opus 4.7 (Adaptive) has a published context window of 1M, which determines how much text it can process in a single interaction.
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