# Claude Opus 4.6 Benchmark Scores & Performance

> Claude Opus 4.6 by Anthropic scores 62.39/100 overall, ranking #47 out of 954 AI models.

Canonical page: https://benchlm.ai/models/claude-opus-4-6

Last updated: October 17, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Anthropic |
| Source Type | Proprietary |
| Reasoning Type | Non-Reasoning |
| Context Window | 1M |
| Overall Score | 62.39/100 |
| Overall Rank | #47 of 954 |

## Family & Coverage

- Family: Claude Opus 4.6
- Variant: base
- Benchmarks covered: 48 of 639
- Sibling models: [Claude Opus 4.6 (Adaptive)](/models/claude-opus-4-6-thinking)
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Terminal-Bench 2.0](/benchmarks/terminal-bench-2) | 65.4% | [Anthropic: Claude Opus 4.6 system card](https://www-cdn.anthropic.com/14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf) |
| [BrowseComp](/benchmarks/browsecomp) | 83.7% | [Anthropic: Claude Mythos Preview System Card](https://www-cdn.anthropic.com/53566bf5440a10affd749724787c8913a2ae0841.pdf) |
| [OSWorld-Verified](/benchmarks/osworld-verified) | 72.7% | [Anthropic: Claude Opus 4.6 system card](https://www-cdn.anthropic.com/14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf) |
| [τ²-bench results](/benchmarks/tau2-bench) | 84.8% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |
| [AndroidWorld](/benchmarks/androidworld) | 62.0% | [Qwen3.8-27B model card comparison table](https://huggingface.co/Qwen/Qwen3.8-27B) |
| [Claw-Eval](/benchmarks/claw-eval) | 70.4% | [Claw-Eval leaderboard](https://claw-eval.github.io/) |
| [DeepSearchQA](/benchmarks/deepsearchqa) | 73.7% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [CyberGym](/benchmarks/cybergym) | 66.6% | [CyberGym leaderboard](https://cybergym.io/) |
| [Gert Labs](/benchmarks/gertlabs) | 61.85% | [Gert Labs rankings](https://gertlabs.com/rankings) |
| [ResearchClawBench](/benchmarks/researchclawbench) | 19.9% | [ResearchClawBench leaderboard](https://internscience.github.io/ResearchClawBench-Home/) |
| [JobBench](/benchmarks/jobbench) | 36.7% | [JobBench paper](https://arxiv.org/abs/2605.26329) |
| [ApprenticeBench](/benchmarks/apprenticebench) | 5% | [NeoCognition: ApprenticeBench GUI results](https://neocognition.io/blog/apprentice-bench/#are-frontier-agents-ready-for-the-job) |

## Coding Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [SWE-bench Verified](/benchmarks/swe-bench-verified) | 80.8% | [Anthropic: Claude Opus 4.6 system card](https://www-cdn.anthropic.com/14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf) |
| [SWE-bench Verified*](/benchmarks/swe-bench-verified) | 75.6% | [Arcee Trinity-Large-Thinking comparison table](https://www.arcee.ai/blog/trinity-large-thinking) |
| [LiveCodeBench Pro](/benchmarks/livecodebench-pro) | 70.7% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [SWE-bench Pro](/benchmarks/swe-bench-pro) | 53.4% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [SWE-Rebench](/benchmarks/swe-rebench) | 65.3% | [SWE-Rebench leaderboard](https://swe-rebench.com/?insight=sep_2025) |
| [React Native Evals](/benchmarks/reactnativeevals) | 84.1% | [React Native Evals leaderboard](https://rn-evals.vercel.app/) |
| [Terminal-Bench 2.0](/benchmarks/terminal-bench-2) | 65.4% | [Anthropic: Claude Opus 4.6 system card](https://www-cdn.anthropic.com/14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf) |
| [Vibe Code Bench](/benchmarks/vibecodebench) | 57.57% | [Vals AI: Vibe Code Bench v1.1](https://www.vals.ai/benchmarks/vibe-code) |
| [FrontierCode 1.1 Main](/benchmarks/frontiercode) | 26.9% | [Cognition: FrontierCode 1.1](https://cognition.com/blog/frontier-code-1.1) |

## Multimodal & Grounded Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [MMMU-Pro](/benchmarks/mmmu-pro) | 77.3% | [Anthropic: Claude Opus 4.6 system card](https://www-cdn.anthropic.com/14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf) |
| [ERQA](/benchmarks/erqa) | 51.6% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [ScreenSpot Pro](/benchmarks/screenspot-pro) | 83.1% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [MedXpertQA (MM)](/benchmarks/medxpertqamm) | 64.8% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [AA-MMMU-Pro](/benchmarks/mmmu-pro) | 72.5% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |
| [Design Arena Website](/benchmarks/designarenawebsite) | 1293 | [OpenRouter model benchmarks](https://openrouter.ai/anthropic/claude-opus-4.6/benchmarks) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-LCR](/benchmarks/lcr) | 67.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |
| [CritPt](/benchmarks/critpt) | 2.8% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [GPQA](/benchmarks/gpqa) | 91.3% | [Anthropic: Claude Opus 4.6 system card](https://www-cdn.anthropic.com/14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf) |
| [GPQA-D](/benchmarks/gpqa-diamond) | 89.2% | [Arcee Trinity-Large-Thinking comparison table](https://www.arcee.ai/blog/trinity-large-thinking) |
| [SuperGPQA](/benchmarks/supergpqa) | 95% | [Qwen3.6-Plus comparison table](https://qwen.ai/blog?id=qwen3.6) |
| [MMLU-Pro](/benchmarks/mmlu-pro) | 82% | [Qwen3.6-Plus comparison table](https://qwen.ai/blog?id=qwen3.6) |
| [MMLU-Pro (Arcee)](/benchmarks/mmlu-pro) | 89.1% | [Arcee Trinity-Large-Thinking comparison table](https://www.arcee.ai/blog/trinity-large-thinking) |
| [HLE](/benchmarks/hle) | 53% | [Anthropic: Claude Opus 4.6 system card](https://www-cdn.anthropic.com/14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf) |
| [HLE w/o tools](/benchmarks/hlenotools) | 40% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [HealthBench Hard](/benchmarks/healthbench-hard) | 14.8% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [MedXpertQA (Text)](/benchmarks/medxpertqatext) | 52.1% | [Meta AI: Muse Spark comparison chart](https://ai.meta.com/blog/introducing-muse-spark-msl/) |
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 26.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |
| [AA-GPQA Diamond](/benchmarks/gpqa-diamond) | 84.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |
| [AA-HLE](/benchmarks/aahle) | 19.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | 2.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 45.8% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 80.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |

## Instruction Following Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-IFBench](/benchmarks/ifbench) | 44.6% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/claude-opus-4-6) |

## Mathematics Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AIME25 (Arcee)](/benchmarks/aime2025arcee) | 99.8% | [Arcee Trinity-Large-Thinking comparison table](https://www.arcee.ai/blog/trinity-large-thinking) |
| [FrontierMath v2 (Tiers 1-3)](/benchmarks/frontiermathv2tiers13) | 65.965% | [Epoch AI FrontierMath v2 leaderboard](https://epoch.ai/benchmarks/frontiermath-tiers-1-3-v2) |
| [FrontierMath v2 (Tier 4)](/benchmarks/frontiermathv2tier4) | 26.829% | [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: 86.56
- [Claude Fable 5.1](/models/claude-fable-5-1) - Score: 83.18
- [Claude Sonnet 5.5](/models/claude-sonnet-5-5) - Score: 82.18
- [Claude Fable 5](/models/claude-fable) - Score: 81.27
- [Claude Opus 5](/models/claude-opus-5) - Score: 79.63
- [Claude Haiku 5.5](/models/claude-haiku-5-5) - Score: 70.04
- [Claude Opus 4.8](/models/claude-opus-4-8) - Score: 70.01
- [Claude Opus 4.7 (Adaptive)](/models/claude-opus-4-7-adaptive) - Score: 68.96
- [Claude Opus 4.7](/models/claude-opus-4-7) - Score: 66.74
- [Claude Sonnet 5](/models/claude-sonnet-5) - Score: 64.84
- [Claude Sonnet 4.6](/models/claude-sonnet-4-6) - Score: 55.89
- [Claude Opus 4.5 Thinking](/models/claude-opus-4-5-thinking) - Score: 54.1
- [Claude Opus 4.5](/models/claude-opus-4-5) - Score: 54.05
- [Claude Sonnet 4.5](/models/claude-sonnet-4-5) - Score: 47.96
- [Claude Haiku 4.5](/models/claude-haiku-4-5) - Score: 41.16
- [Claude 4.1 Opus](/models/claude-4-1-opus) - Score: 40.05
- [Claude 4.1 Opus Thinking](/models/claude-4-1-opus-thinking) - Score: 39.37
- [Claude 4 Sonnet](/models/claude-4-sonnet) - Score: 38.08
- [Claude 3 Opus](/models/claude-3-opus) - Score: 28.49
- [Claude 3.5 Sonnet](/models/claude-3-5-sonnet) - Score: 27.73
- [Claude 3 Haiku](/models/claude-3-haiku) - Score: 14.19
- [Claude Mythos 5](/models/claude-mythos-5) - Score: not computed
- [Claude 4 Opus Thinking](/models/claude-4-opus-thinking) - Score: not computed
- [Claude Opus 4.6 (Adaptive)](/models/claude-opus-4-6-thinking) - Score: not computed
- [Claude 4 Opus](/models/claude-4-opus) - Score: not computed
- [Claude 3.7 Sonnet Thinking](/models/claude-3-7-sonnet-thinking) - Score: not computed
- [Claude 3.7 Sonnet](/models/claude-3-7-sonnet) - Score: not computed
- [Claude 3.5 Haiku](/models/claude-3-5-haiku) - 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