# Claude 3.5 Haiku benchmark scores

Anthropic · model · https://benchgap.net/model/claude-3-5-haiku · data retrieved 2026-10-29

As of 2026-10-29, Claude 3.5 Haiku (Anthropic) has measured scores on 17 benchmarks and estimated scores on 69 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 40.8% | measured |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 3.6% | measured |
| [AA-SciCode](https://benchgap.net/b/aa-sci-code/current.md) | 27.8% | estimated ± 3.9 pp, medium confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.0% | measured |
| [GDPval-AA](https://benchgap.net/b/gdpvalaanormalized/current.md) | 0.0% | measured |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 42.1% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 0.6% | estimated ± 6.9 pp, low confidence |
| [IFBench](https://benchgap.net/b/ifbench/current.md) | 54.5% | estimated ± 6.6 pp, low confidence |
| [AA-LCR](https://benchgap.net/b/lcr/current.md) | 27.3% | measured |
| [SciCode](https://benchgap.net/b/scicode/current.md) | 27.6% | estimated ± 3.3 pp, medium confidence |
| [BrowseComp](https://benchgap.net/b/browsecomp/current.md) | 0.0% | estimated ± 9.0 pp, low confidence |
| [HLE w/ tools](https://benchgap.net/b/hlewithtools/current.md) | 33.8% | estimated ± 5.3 pp, low confidence |
| [IFEval](https://benchgap.net/b/ifeval/current.md) | 85.9% | measured |
| [LongBench v2](https://benchgap.net/b/longbench-v2/current.md) | 52.2% | estimated ± 5.8 pp, low confidence |
| [τ²-bench results](https://benchgap.net/b/tau2-bench/current.md) | 24.6% | measured |
| [AA Coding Index](https://benchgap.net/b/aa-coding-index/current.md) | 23.6% | estimated ± 5.3 pp, medium confidence |
| [AA-MMMU-Pro](https://benchgap.net/b/aa-mmmu-pro/current.md) | 45.6% | measured |
| [APEX-Agents](https://benchgap.net/b/apexagents/current.md) | 0.0% | estimated ± 9.0 pp, low confidence |
| [APEX-Agents-AA](https://benchgap.net/b/apexagentsaa/current.md) | 5.4% | estimated ± 9.4 pp, medium confidence |
| [BioMysteryBench (human-difficult)](https://benchgap.net/b/biomysterybenchhumandifficult/current.md) | 0.0% | estimated ± 6.8 pp, low confidence |
| [DeepSearchQA](https://benchgap.net/b/deepsearchqa/current.md) | 34.7% | estimated ± 9.6 pp, medium confidence |
| [SWE-bench Verified](https://benchgap.net/b/swe-bench-verified/current.md) | 40.6% | measured |
| [BFCL v4](https://benchgap.net/b/bfcl-v4/current.md) | 53.9% | estimated ± 2.7 pp, high confidence |
| [CyberGym](https://benchgap.net/b/cybergym/current.md) | 0.0% | estimated ± 6.0 pp, low confidence |
| [JobBench](https://benchgap.net/b/jobbench/current.md) | 0.0% | estimated ± 8.7 pp, low confidence |
| [SWE-bench Pro](https://benchgap.net/b/swe-bench-pro/current.md) | 14.7% | estimated ± 4.6 pp, medium confidence |
| [WideResearch](https://benchgap.net/b/wideresearch/current.md) | 0.0% | estimated ± 7.8 pp, low confidence |
| [AA Agentic Index](https://benchgap.net/b/aa-agentic-index/current.md) | 0.0% | estimated ± 2.9 pp, high confidence |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 65.0% | measured |
| [AA-IFBench](https://benchgap.net/b/aa-if-bench/current.md) | 42.8% | measured |
| [AIME 2024](https://benchgap.net/b/aime2024/current.md) | 5.3% | measured |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 8.9% | measured |
| [BBH](https://benchgap.net/b/bbh/current.md) | 86.6% | measured |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 41.6% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 80.3% | measured |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 13.2% | measured |
| [MATH-500](https://benchgap.net/b/math-500/current.md) | 49.0% | estimated ± 1.2 pp, medium confidence |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 83.3% | estimated ± 0.7 pp, medium confidence |
| [MMMU](https://benchgap.net/b/mmmu/current.md) | 61.0% | estimated ± 2.7 pp, medium confidence |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 82.7% | estimated ± 0.6 pp, medium confidence |
| [AIME 2025](https://benchgap.net/b/aime2025/current.md) | 20.0% | estimated ± 3.3 pp, medium confidence |
| [Gert Labs](https://benchgap.net/b/gertlabs/current.md) | 31.4% | estimated ± 8.9 pp, medium confidence |
| [AA Tau3 Banking](https://benchgap.net/b/aa-tau3-banking/current.md) | 0.0% | estimated ± 4.0 pp, medium confidence |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 45.2% | estimated ± 7.6 pp, low confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 30.7% | estimated ± 14.6 pp, low confidence |
| [MazeBench](https://benchgap.net/b/mazebench/current.md) | 0.4% | estimated ± 5.4 pp, low confidence |
| [OSWorld-Verified](https://benchgap.net/b/osworld-verified/current.md) | 62.6% | estimated ± 8.1 pp, low confidence |
| [ParseBench](https://benchgap.net/b/parsebench/current.md) | 41.2% | estimated ± 5.5 pp, low confidence |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 81.3% | estimated ± 5.3 pp, low confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 83.9% | estimated ± 2.1 pp, medium confidence |
| [Vals SWE-bench](https://benchgap.net/b/valsswebench/current.md) | 22.2% | estimated ± 6.8 pp, low confidence |
| [AA AutomationBench](https://benchgap.net/b/aa-automation-bench/current.md) | 0.0% | estimated ± 14.8 pp, low confidence |
| [CWE-Bench-AA](https://benchgap.net/b/aa-cwe-bench/current.md) | 0.0% | estimated ± 9.8 pp, low confidence |
| [DeepsecBench-AA](https://benchgap.net/b/aa-deepsec-bench/current.md) | 0.0% | estimated ± 8.6 pp, low confidence |
| [GDP.pdf](https://benchgap.net/b/aa-gdp-pdf/current.md) | 0.0% | estimated ± 5.2 pp, low confidence |
| [AA ITBench](https://benchgap.net/b/aa-itbench/current.md) | 35.7% | estimated ± 5.1 pp, low confidence |
| [CWE-bench v1](https://benchgap.net/b/cwe-bench-v1/current.md) | 0.0% | estimated ± 6.4 pp, low confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 28.9% | estimated ± 4.6 pp, medium confidence |
| [Toolathlon-Verified](https://benchgap.net/b/toolathlonverified/current.md) | 0.0% | estimated ± 3.1 pp, medium confidence |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 1.4% | estimated ± 7.7 pp, low confidence |
| [Hermes Bench](https://benchgap.net/b/hermesbench/current.md) | 0.0% | estimated ± 2.9 pp, medium confidence |
| [Hermes Index](https://benchgap.net/b/hermesindex/current.md) | 0.0% | estimated ± 8.7 pp, low confidence |
| [CharXiv](https://benchgap.net/b/charxiv/current.md) | 58.3% | estimated ± 6.2 pp, low confidence |
| [AI2D_TEST](https://benchgap.net/b/ai2dtest/current.md) | 88.0% | estimated ± 2.0 pp, low confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 88.3% | estimated ± 1.0 pp, low confidence |
| [MCP Atlas](https://benchgap.net/b/mcpatlas/current.md) | 56.5% | estimated ± 10.7 pp, low confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 80.9% | estimated ± 0.6 pp, high confidence |
| [MMMU-Pro](https://benchgap.net/b/mmmu-pro/current.md) | 45.5% | estimated ± 1.6 pp, high confidence |
| [QwenClawBench](https://benchgap.net/b/qwenclawbench/current.md) | 55.9% | estimated ± 6.0 pp, low confidence |
| [ScreenSpot Pro](https://benchgap.net/b/screenspot-pro/current.md) | 52.6% | estimated ± 11.2 pp, low confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 64.4% | estimated ± 9.3 pp, low confidence |
| [Toolathlon](https://benchgap.net/b/toolathlon/current.md) | 27.0% | estimated ± 6.3 pp, low confidence |
| [Video-MME (w/o subtitle)](https://benchgap.net/b/videommenosub/current.md) | 70.7% | estimated ± 1.7 pp, low confidence |
| [HealthBench Hard](https://benchgap.net/b/healthbench-hard/current.md) | 0.0% | estimated ± 8.6 pp, low confidence |
| [MMLU-Pro (Arcee)](https://benchgap.net/b/mmlu-pro-arcee/current.md) | 77.1% | estimated ± 4.0 pp, low confidence |
| [React Native Evals](https://benchgap.net/b/reactnativeevals/current.md) | 71.4% | estimated ± 2.3 pp, low confidence |
| [ResearchClawBench](https://benchgap.net/b/researchclawbench/current.md) | 0.0% | estimated ± 2.2 pp, low confidence |
| [BioMysteryBench (human-solvable)](https://benchgap.net/b/biomysterybenchhumansolvable/current.md) | 81.7% | estimated ± 0.6 pp, low confidence |
| [DRACO](https://benchgap.net/b/draco/current.md) | 61.5% | estimated ± 3.1 pp, low 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) | 50.1% | estimated ± 8.6 pp, low confidence |
| [STEMBench](https://benchgap.net/b/stembench/current.md) | 2.4% | estimated ± 0.2 pp, medium confidence |
| [SimpleQA](https://benchgap.net/b/simpleqa/current.md) | 8.8% | estimated ± 4.3 pp, low confidence |
| [LiveCodeBench](https://benchgap.net/b/livecodebench/current.md) | 50.0% | estimated ± 14.6 pp, low confidence |
| [MRCRv2](https://benchgap.net/b/mrcrv2/current.md) | 22.8% | estimated ± 11.3 pp, low confidence |
| [MMLongBench-Doc](https://benchgap.net/b/mmlongbenchdoc/current.md) | 55.5% | estimated ± 2.6 pp, low confidence |