# Claude Opus 4.7 Benchmark Scores & Performance

> Claude Opus 4.7 by Anthropic scores 65.18/100 overall, ranking #33 out of 898 AI models.

Canonical page: https://benchlm.ai/models/claude-opus-4-7

Last updated: October 13, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Anthropic |
| Source Type | Proprietary |
| Reasoning Type | Non-Reasoning |
| Context Window | 1M |
| Overall Score | 65.18/100 |
| Overall Rank | #33 of 898 |

## Family & Coverage

- Family: Claude Opus 4.7
- Variant: base
- Benchmarks covered: 26 of 628
- Sibling models: [Claude Opus 4.7 (Adaptive)](/models/claude-opus-4-7-adaptive)
- Related earlier model: [Claude Opus 4.6](/models/claude-opus-4-6)
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [τ²-bench results](/benchmarks/tau2-bench) | 74% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |
| [Gert Labs](/benchmarks/gertlabs) | 65.59% | [Gert Labs rankings](https://gertlabs.com/rankings) |
| [ResearchClawBench](/benchmarks/researchclawbench) | 20.7% | [ResearchClawBench leaderboard](https://internscience.github.io/ResearchClawBench-Home/) |
| [OSWorld 2.0](/benchmarks/osworld2) | 13.9% | [OSWorld 2.0 paper](https://arxiv.org/abs/2606.29537) |
| [Terminal-Bench 2.1 (Vals)](/benchmarks/terminalbench21) | 68.5% | [Vals AI: Terminal-Bench 2.1 leaderboard](https://www.vals.ai/models/anthropic_claude-opus-4-7) |
| [ApprenticeBench](/benchmarks/apprenticebench) | 7% | [NeoCognition: ApprenticeBench GUI results](https://neocognition.io/blog/apprentice-bench/#are-frontier-agents-ready-for-the-job) |

## Coding Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Vibe Code Bench](/benchmarks/vibecodebench) | 71.00% | [Vals AI: Vibe Code Bench v1.1](https://www.vals.ai/benchmarks/vibe-code) |
| [React Native Evals](/benchmarks/reactnativeevals) | 82.8% | [React Native Evals leaderboard](https://rn-evals.vercel.app/) |
| [FrontierCode 1.1 Main](/benchmarks/frontiercode) | 38.5% | [Cognition: FrontierCode 1.1](https://cognition.com/blog/frontier-code-1.1) |
| [LiveCodeBench (Vals)](/benchmarks/valslivecodebench) | 85.1% | [Vals AI: LiveCodeBench leaderboard](https://www.vals.ai/models/anthropic_claude-opus-4-7) |
| [SWE-bench (Vals)](/benchmarks/valsswebench) | 82.0% | [Vals AI: SWE-bench leaderboard](https://www.vals.ai/models/anthropic_claude-opus-4-7) |
| [PostTrainBench v1.1](/benchmarks/posttrainbench-v1-1) | 28.6% | [PostTrainBench v1.1 public leaderboard](https://posttrainbench.com/?version=v1.1) |

## Multimodal & Grounded Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-MMMU-Pro](/benchmarks/mmmu-pro) | 76.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-LCR](/benchmarks/lcr) | 75.7% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |
| [CritPt](/benchmarks/critpt) | 5.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 30.9% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |
| [AA-GPQA Diamond](/benchmarks/gpqa-diamond) | 88.5% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |
| [AA-HLE](/benchmarks/aahle) | 33.3% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | 14.8% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 44.7% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 54.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |
| [GPQA Diamond (Vals)](/benchmarks/gpqa-diamond) | 90.2% | [Vals AI: GPQA Diamond leaderboard](https://www.vals.ai/models/anthropic_claude-opus-4-7) |
| [MMLU-Pro (Vals)](/benchmarks/mmlu-pro) | 89.9% | [Vals AI: MMLU Pro leaderboard](https://www.vals.ai/models/anthropic_claude-opus-4-7) |

## Instruction Following Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-IFBench](/benchmarks/ifbench) | 43.6% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning) |

## Mathematics Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [FrontierMath v2 (Tiers 1-3)](/benchmarks/frontiermathv2tiers13) | 70.175% | [Epoch AI FrontierMath v2 leaderboard](https://epoch.ai/benchmarks/frontiermath-tiers-1-3-v2) |
| [FrontierMath v2 (Tier 4)](/benchmarks/frontiermathv2tier4) | 31.707% | [Epoch AI FrontierMath v2 leaderboard](https://epoch.ai/benchmarks/frontiermath-tier-4-v2?view=graph&tab=leaderboard) |

## Other Anthropic Models

- [Claude Opus 5.5](/models/claude-opus-5-5) - Score: 86.05
- [Claude Fable 5.1](/models/claude-fable-5-1) - Score: 82.64
- [Claude Sonnet 5.5](/models/claude-sonnet-5-5) - Score: 82.41
- [Claude Fable 5](/models/claude-fable) - Score: 80.9
- [Claude Opus 5](/models/claude-opus-5) - Score: 79.3
- [Claude Haiku 5.5](/models/claude-haiku-5-5) - Score: 71.34
- [Claude Opus 4.8](/models/claude-opus-4-8) - Score: 69.08
- [Claude Opus 4.7 (Adaptive)](/models/claude-opus-4-7-adaptive) - Score: 67.96
- [Claude Sonnet 5](/models/claude-sonnet-5) - Score: 64.26
- [Claude Opus 4.6](/models/claude-opus-4-6) - Score: 61.13
- [Claude Sonnet 4.6](/models/claude-sonnet-4-6) - Score: 55.63
- [Claude Opus 4.5 Thinking](/models/claude-opus-4-5-thinking) - Score: 53.82
- [Claude Opus 4.5](/models/claude-opus-4-5) - Score: 53.77
- [Claude Sonnet 4.5](/models/claude-sonnet-4-5) - Score: 48.29
- [Claude Haiku 4.5](/models/claude-haiku-4-5) - Score: 40.93
- [Claude 4.1 Opus](/models/claude-4-1-opus) - Score: 39.89
- [Claude 4.1 Opus Thinking](/models/claude-4-1-opus-thinking) - Score: 39.2
- [Claude 4 Sonnet](/models/claude-4-sonnet) - Score: 37.94
- [Claude 3 Opus](/models/claude-3-opus) - Score: 28.38
- [Claude 3.5 Sonnet](/models/claude-3-5-sonnet) - Score: 27.62
- [Claude 3 Haiku](/models/claude-3-haiku) - Score: 14
- [Claude Mythos 5](/models/claude-mythos-5) - Score: not computed
- [Claude Opus 4.6 (Adaptive)](/models/claude-opus-4-6-thinking) - Score: not computed
- [Claude Sonnet 4.5 Thinking](/models/claude-sonnet-4-5-thinking) - Score: not computed
- [Claude Mythos 5.1](/models/claude-mythos-5-1) - Score: not computed
- [Claude Mythos Preview](/models/claude-mythos-preview) - Score: not computed
- [Claude Haiku 4.5 Thinking](/models/claude-haiku-4-5-thinking) - Score: not computed