# Claude 4 Opus benchmark scores

Anthropic · model · https://benchgap.net/model/claude-4-opus · data retrieved 2026-10-29

As of 2026-10-29, Claude 4 Opus (Anthropic) has measured scores on 9 benchmarks and estimated scores on 53 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 70.1% | measured |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 6.2% | measured |
| [AA-SciCode](https://benchgap.net/b/aa-sci-code/current.md) | 44.8% | estimated ± 3.9 pp, high confidence |
| [AIME26](https://benchgap.net/b/aime2026/current.md) | 38.2% | estimated ± 4.6 pp, low confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.2% | estimated ± 2.4 pp, high confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 75.1% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 12.1% | estimated ± 6.9 pp, medium confidence |
| [IFBench](https://benchgap.net/b/ifbench/current.md) | 54.6% | estimated ± 6.6 pp, medium confidence |
| [SciCode](https://benchgap.net/b/scicode/current.md) | 44.5% | estimated ± 3.3 pp, high confidence |
| [IFEval](https://benchgap.net/b/ifeval/current.md) | 89.8% | estimated ± 2.8 pp, high confidence |
| [AA Coding Index](https://benchgap.net/b/aa-coding-index/current.md) | 44.8% | estimated ± 5.3 pp, medium confidence |
| [AA-MMMU-Pro](https://benchgap.net/b/aa-mmmu-pro/current.md) | 59.1% | estimated ± 3.0 pp, high confidence |
| [SWE-bench Verified](https://benchgap.net/b/swe-bench-verified/current.md) | 72.5% | measured |
| [SWE-bench Pro](https://benchgap.net/b/swe-bench-pro/current.md) | 50.0% | estimated ± 4.6 pp, high confidence |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 85.5% | estimated ± 4.1 pp, high confidence |
| [AA-IFBench](https://benchgap.net/b/aa-if-bench/current.md) | 43.3% | measured |
| [AIME 2024](https://benchgap.net/b/aime2024/current.md) | 49.4% | estimated ± 2.6 pp, high confidence |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 16.6% | measured |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 74.9% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 91.8% | estimated ± 2.7 pp, high confidence |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 26.8% | estimated ± 7.2 pp, medium confidence |
| [MATH-500](https://benchgap.net/b/math-500/current.md) | 91.5% | estimated ± 2.1 pp, high confidence |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 87.4% | measured |
| [MMMU](https://benchgap.net/b/mmmu/current.md) | 73.7% | measured |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 85.4% | estimated ± 1.0 pp, low confidence |
| [AIME 2025](https://benchgap.net/b/aime2025/current.md) | 33.9% | measured |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 31.0% | estimated ± 7.0 pp, low confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 0.0% | estimated ± 11.6 pp, low confidence |
| [FrontierCode 1.1 Main](https://benchgap.net/b/frontiercode/current.md) | 6.4% | estimated ± 2.7 pp, low confidence |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 62.7% | estimated ± 4.8 pp, medium confidence |
| [Vals LiveCodeBench](https://benchgap.net/b/valslivecodebench/current.md) | 72.2% | estimated ± 9.9 pp, low confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 46.9% | estimated ± 1.2 pp, medium confidence |
| [Vals SWE-bench](https://benchgap.net/b/valsswebench/current.md) | 66.0% | estimated ± 6.8 pp, medium confidence |
| [DeepSWE](https://benchgap.net/b/deepswe/current.md) | 30.1% | estimated ± 12.7 pp, low confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 31.1% | estimated ± 4.6 pp, high confidence |
| [Vibe Code Bench](https://benchgap.net/b/vibecodebench/current.md) | 1.0% | estimated ± 8.1 pp, medium confidence |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 1.4% | estimated ± 7.7 pp, low confidence |
| [AI2D_TEST](https://benchgap.net/b/ai2dtest/current.md) | 89.2% | estimated ± 2.0 pp, high confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 90.5% | estimated ± 1.0 pp, medium confidence |
| [CountBench](https://benchgap.net/b/countbench/current.md) | 94.5% | estimated ± 3.2 pp, high confidence |
| [DynaMath](https://benchgap.net/b/dynamath/current.md) | 82.5% | estimated ± 5.8 pp, low confidence |
| [ERQA](https://benchgap.net/b/erqa/current.md) | 47.1% | estimated ± 5.2 pp, low confidence |
| [MathVision](https://benchgap.net/b/mathvision/current.md) | 72.5% | estimated ± 3.6 pp, high confidence |
| [MLVU (M-Avg)](https://benchgap.net/b/mlvuavg/current.md) | 83.0% | estimated ± 2.4 pp, high confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 94.1% | estimated ± 0.5 pp, medium confidence |
| [MMMU-Pro](https://benchgap.net/b/mmmu-pro/current.md) | 62.1% | estimated ± 2.3 pp, high confidence |
| [NL2Repo](https://benchgap.net/b/nl2repo/current.md) | 30.6% | estimated ± 6.2 pp, medium confidence |
| [RealWorldQA](https://benchgap.net/b/realworldqa/current.md) | 80.2% | estimated ± 3.6 pp, high confidence |
| [ScreenSpot Pro](https://benchgap.net/b/screenspot-pro/current.md) | 53.0% | estimated ± 7.3 pp, low confidence |
| [SimpleVQA](https://benchgap.net/b/simplevqa/current.md) | 55.1% | estimated ± 7.1 pp, medium confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 55.2% | estimated ± 8.2 pp, low confidence |
| [Video-MME (w/o subtitle)](https://benchgap.net/b/videommenosub/current.md) | 74.8% | estimated ± 1.3 pp, high confidence |
| [Video-MME (with subtitle)](https://benchgap.net/b/videommewithsub/current.md) | 80.3% | estimated ± 3.2 pp, high confidence |
| [VideoMMMU](https://benchgap.net/b/videommmu/current.md) | 68.3% | estimated ± 3.8 pp, high confidence |
| [We-Math](https://benchgap.net/b/wemath/current.md) | 76.7% | estimated ± 7.2 pp, low confidence |
| [React Native Evals](https://benchgap.net/b/reactnativeevals/current.md) | 72.4% | estimated ± 2.3 pp, medium confidence |
| [SWE-Rebench](https://benchgap.net/b/swe-rebench/current.md) | 57.0% | estimated ± 3.6 pp, medium confidence |
| [HealthBench (length-adjusted)](https://benchgap.net/b/healthbenchlengthadjusted/current.md) | 53.9% | estimated ± 3.3 pp, medium confidence |
| [HealthBench Professional (raw)](https://benchgap.net/b/healthbenchprofessionalraw/current.md) | 53.8% | estimated ± 8.6 pp, low confidence |
| [SimpleQA](https://benchgap.net/b/simpleqa/current.md) | 23.6% | estimated ± 7.8 pp, medium confidence |
| [LiveCodeBench](https://benchgap.net/b/livecodebench/current.md) | 74.6% | estimated ± 14.6 pp, low confidence |
| [MMVU](https://benchgap.net/b/mmvu/current.md) | 68.9% | estimated ± 3.8 pp, medium confidence |