# Hy4 benchmark scores

Other · model · https://benchgap.net/model/hy4 · data retrieved 2026-11-04

As of 2026-11-04, Hy4 (Other) has measured scores on 12 benchmarks and estimated scores on 72 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 90.8% | estimated ± 3.0 pp, medium confidence |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 44.8% | estimated ± 7.4 pp, medium confidence |
| [AA-SciCode](https://benchgap.net/b/aa-sci-code/current.md) | 58.7% | estimated ± 3.5 pp, medium confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 19.6% | estimated ± 6.0 pp, medium confidence |
| [GDPval-AA](https://benchgap.net/b/gdpvalaanormalized/current.md) | 64.7% | estimated ± 4.2 pp, high confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 92.9% | estimated ± 2.3 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 59.1% | measured |
| [SciCode](https://benchgap.net/b/scicode/current.md) | 61.8% | estimated ± 7.6 pp, low confidence |
| [BrowseComp](https://benchgap.net/b/browsecomp/current.md) | 92.0% | estimated ± 5.5 pp, low confidence |
| [HLE w/ tools](https://benchgap.net/b/hlewithtools/current.md) | 59.1% | measured |
| [τ²-bench results](https://benchgap.net/b/tau2-bench/current.md) | 98.3% | estimated ± 3.1 pp, high confidence |
| [AA Coding Index](https://benchgap.net/b/aa-coding-index/current.md) | 78.1% | estimated ± 2.4 pp, low confidence |
| [AA-MMMU-Pro](https://benchgap.net/b/aa-mmmu-pro/current.md) | 77.6% | estimated ± 1.6 pp, high confidence |
| [APEX-Agents](https://benchgap.net/b/apexagents/current.md) | 75.2% | measured |
| [SWE-bench Verified](https://benchgap.net/b/swe-bench-verified/current.md) | 94.0% | estimated ± 4.6 pp, high confidence |
| [AutomationBench](https://benchgap.net/b/automationbench/current.md) | 56.2% | measured |
| [CyberGym](https://benchgap.net/b/cybergym/current.md) | 88.3% | estimated ± 4.6 pp, medium confidence |
| [SWE-bench Pro](https://benchgap.net/b/swe-bench-pro/current.md) | 77.5% | estimated ± 7.4 pp, low confidence |
| [WideResearch](https://benchgap.net/b/wideresearch/current.md) | 83.1% | estimated ± 4.8 pp, low confidence |
| [AA Agentic Index](https://benchgap.net/b/aa-agentic-index/current.md) | 46.2% | estimated ± 9.2 pp, medium confidence |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 39.4% | estimated ± 9.3 pp, low confidence |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 92.2% | estimated ± 3.3 pp, high confidence |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 49.2% | estimated ± 9.2 pp, medium confidence |
| [MMMU](https://benchgap.net/b/mmmu/current.md) | 85.3% | estimated ± 1.7 pp, high confidence |
| [AA Harvey LAB v1.0](https://benchgap.net/b/aa-harvey-lab/current.md) | 90.7% | estimated ± 1.7 pp, medium confidence |
| [AA Tau3 Banking](https://benchgap.net/b/aa-tau3-banking/current.md) | 50.9% | estimated ± 3.8 pp, low confidence |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 95.1% | estimated ± 11.9 pp, low confidence |
| [CursorBench 3.2](https://benchgap.net/b/cursor-bench32/current.md) | 30.6% | estimated ± 3.6 pp, low confidence |
| [FrontierCode 1.1 Main](https://benchgap.net/b/frontiercode/current.md) | 54.3% | estimated ± 3.7 pp, low confidence |
| [FrontierSWE v2](https://benchgap.net/b/frontierswev2/current.md) | 48.5% | estimated ± 9.4 pp, medium confidence |
| [MazeBench](https://benchgap.net/b/mazebench/current.md) | 2.2% | estimated ± 5.6 pp, medium confidence |
| [ParseBench](https://benchgap.net/b/parsebench/current.md) | 62.2% | estimated ± 6.2 pp, medium confidence |
| [Vals LiveCodeBench](https://benchgap.net/b/valslivecodebench/current.md) | 77.4% | estimated ± 6.1 pp, low confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 89.2% | estimated ± 2.5 pp, medium confidence |
| [Vals SWE-bench](https://benchgap.net/b/valsswebench/current.md) | 85.5% | estimated ± 10.6 pp, low confidence |
| [Terminal-Bench 2.1 (Vals AI)](https://benchgap.net/b/vals-terminal-bench21/current.md) | 78.4% | estimated ± 5.4 pp, low confidence |
| [AA AutomationBench](https://benchgap.net/b/aa-automation-bench/current.md) | 55.8% | estimated ± 11.6 pp, low confidence |
| [CWE-Bench-AA](https://benchgap.net/b/aa-cwe-bench/current.md) | 58.8% | estimated ± 5.2 pp, medium confidence |
| [AA Cyber Index](https://benchgap.net/b/aa-cyber-index/current.md) | 46.3% | estimated ± 9.4 pp, medium confidence |
| [DeepsecBench-AA](https://benchgap.net/b/aa-deepsec-bench/current.md) | 23.5% | estimated ± 7.4 pp, medium confidence |
| [GDP.pdf](https://benchgap.net/b/aa-gdp-pdf/current.md) | 22.2% | estimated ± 5.4 pp, medium confidence |
| [AA Terminal-Bench 4.0](https://benchgap.net/b/aa-terminal-bench4/current.md) | 41.1% | estimated ± 6.0 pp, medium confidence |
| [Bug Hunt Bench](https://benchgap.net/b/bug-hunt-bench/current.md) | 22.2% | estimated ± 3.2 pp, medium confidence |
| [CursorBench 4.0](https://benchgap.net/b/cursor-bench40/current.md) | 48.4% | estimated ± 2.7 pp, medium confidence |
| [DeepSWE](https://benchgap.net/b/deepswe/current.md) | 74.9% | measured |
| [FrontierCode 2.0](https://benchgap.net/b/frontiercode-2/current.md) | 31.0% | measured |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 47.3% | estimated ± 5.4 pp, medium confidence |
| [OSWorld 2.1](https://benchgap.net/b/osworld-2-1/current.md) | 78.9% | measured |
| [PostTrainBench v1.1](https://benchgap.net/b/posttrainbench-v1-1/current.md) | 43.2% | estimated ± 4.5 pp, high confidence |
| [ProgramBench](https://benchgap.net/b/programbench/current.md) | 30.0% | measured |
| [Terminal-Bench 4.0](https://benchgap.net/b/terminal-bench-4/current.md) | 44.4% | measured |
| [Toolathlon-Verified](https://benchgap.net/b/toolathlonverified/current.md) | 73.5% | estimated ± 5.7 pp, medium confidence |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 13.0% | estimated ± 12.2 pp, low confidence |
| [Hermes Bench](https://benchgap.net/b/hermesbench/current.md) | 72.8% | estimated ± 4.7 pp, medium confidence |
| [Hermes Index](https://benchgap.net/b/hermesindex/current.md) | 39.3% | estimated ± 8.1 pp, low confidence |
| [CharXiv](https://benchgap.net/b/charxiv/current.md) | 81.0% | estimated ± 5.2 pp, medium confidence |
| [CharXiv w/o tools](https://benchgap.net/b/charxivnotools/current.md) | 82.4% | estimated ± 2.5 pp, medium confidence |
| [ExploitGym](https://benchgap.net/b/exploitgym/current.md) | 23.5% | estimated ± 10.5 pp, low confidence |
| [AI2D_TEST](https://benchgap.net/b/ai2dtest/current.md) | 92.6% | estimated ± 2.0 pp, medium confidence |
| [CountBench](https://benchgap.net/b/countbench/current.md) | 95.1% | estimated ± 3.0 pp, high confidence |
| [DynaMath](https://benchgap.net/b/dynamath/current.md) | 85.0% | estimated ± 5.3 pp, low confidence |
| [ERQA](https://benchgap.net/b/erqa/current.md) | 63.6% | estimated ± 6.4 pp, medium confidence |
| [MathVision](https://benchgap.net/b/mathvision/current.md) | 87.6% | estimated ± 2.9 pp, high confidence |
| [MCP Atlas](https://benchgap.net/b/mcpatlas/current.md) | 79.0% | estimated ± 12.1 pp, low confidence |
| [MLVU (M-Avg)](https://benchgap.net/b/mlvuavg/current.md) | 86.2% | estimated ± 2.2 pp, high confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 97.1% | estimated ± 2.1 pp, medium confidence |
| [MMMU-Pro](https://benchgap.net/b/mmmu-pro/current.md) | 78.6% | measured |
| [NL2Repo](https://benchgap.net/b/nl2repo/current.md) | 62.1% | estimated ± 6.2 pp, medium confidence |
| [RealWorldQA](https://benchgap.net/b/realworldqa/current.md) | 83.8% | estimated ± 2.9 pp, high confidence |
| [ScreenSpot Pro](https://benchgap.net/b/screenspot-pro/current.md) | 75.5% | estimated ± 10.5 pp, low confidence |
| [SimpleVQA](https://benchgap.net/b/simplevqa/current.md) | 67.0% | estimated ± 7.5 pp, medium confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 97.4% | estimated ± 6.9 pp, low confidence |
| [Video-MME (w/o subtitle)](https://benchgap.net/b/videommenosub/current.md) | 84.8% | estimated ± 1.4 pp, medium confidence |
| [Video-MME (with subtitle)](https://benchgap.net/b/videommewithsub/current.md) | 87.1% | estimated ± 3.0 pp, high confidence |
| [VideoMMMU](https://benchgap.net/b/videommmu/current.md) | 86.5% | estimated ± 5.1 pp, medium confidence |
| [We-Math](https://benchgap.net/b/wemath/current.md) | 82.5% | estimated ± 7.4 pp, low confidence |
| [MedXpertQA (MM)](https://benchgap.net/b/medxpertqamm/current.md) | 71.5% | estimated ± 2.4 pp, high confidence |
| [ScarfBench](https://benchgap.net/b/scarfbench/current.md) | 69.9% | estimated ± 3.8 pp, medium confidence |
| [Agents' Last Exam](https://benchgap.net/b/agentslastexam/current.md) | 41.0% | measured |
| [MMVU](https://benchgap.net/b/mmvu/current.md) | 77.5% | estimated ± 2.7 pp, medium confidence |
| [SWE-Marathon](https://benchgap.net/b/swemarathon/current.md) | 43.8% | measured |
| [MMMU-Pro w/ Python](https://benchgap.net/b/mmmupropython/current.md) | 81.0% | estimated ± 2.6 pp, high confidence |
| [OCRBench V2](https://benchgap.net/b/ocrbenchv2/current.md) | 72.7% | estimated ± 4.4 pp, medium confidence |
| [SWE-Atlas Codebase QnA](https://benchgap.net/b/swe-atlas-codebase-qna/current.md) | 64.0% | estimated ± 5.4 pp, low confidence |