# GPT-6.1 Terra benchmark scores

OpenAI · model · https://benchgap.net/model/gpt-6-1-terra · data retrieved 2026-10-29

As of 2026-10-29, GPT-6.1 Terra (OpenAI) has measured scores on 25 benchmarks and estimated scores on 92 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 96.1% | estimated ± 2.1 pp, medium confidence |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 46.2% | measured |
| [AA-SciCode](https://benchgap.net/b/aa-sci-code/current.md) | 55.1% | measured |
| [AIME26](https://benchgap.net/b/aime2026/current.md) | 98.1% | estimated ± 1.4 pp, medium confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 28.0% | measured |
| [GDPval-AA](https://benchgap.net/b/gdpvalaanormalized/current.md) | 56.9% | estimated ± 2.9 pp, medium confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 95.8% | estimated ± 1.0 pp, medium confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 49.8% | estimated ± 9.7 pp, medium confidence |
| [AA-LCR](https://benchgap.net/b/lcr/current.md) | 82.7% | measured |
| [LiveCodeBench v6](https://benchgap.net/b/livecodebench-v6/current.md) | 95.6% | estimated ± 4.9 pp, medium confidence |
| [SciCode](https://benchgap.net/b/scicode/current.md) | 54.8% | estimated ± 3.1 pp, high confidence |
| [Terminal-Bench 2.1](https://benchgap.net/b/terminalbench21/current.md) | 87.3% | estimated ± 5.2 pp, low confidence |
| [BrowseComp](https://benchgap.net/b/browsecomp/current.md) | 91.2% | estimated ± 3.9 pp, medium confidence |
| [HLE w/ tools](https://benchgap.net/b/hlewithtools/current.md) | 59.7% | estimated ± 5.2 pp, medium confidence |
| [LongBench v2](https://benchgap.net/b/longbench-v2/current.md) | 62.7% | estimated ± 5.8 pp, low confidence |
| [AA Coding Index](https://benchgap.net/b/aa-coding-index/current.md) | 71.9% | estimated ± 6.1 pp, medium confidence |
| [AA-MMMU-Pro](https://benchgap.net/b/aa-mmmu-pro/current.md) | 84.7% | measured |
| [BioMysteryBench (human-difficult)](https://benchgap.net/b/biomysterybenchhumandifficult/current.md) | 49.5% | estimated ± 6.8 pp, low confidence |
| [SWE-bench Verified](https://benchgap.net/b/swe-bench-verified/current.md) | 87.9% | estimated ± 6.4 pp, medium confidence |
| [AutomationBench](https://benchgap.net/b/automationbench/current.md) | 47.5% | estimated ± 11.5 pp, low confidence |
| [JobBench](https://benchgap.net/b/jobbench/current.md) | 69.4% | estimated ± 12.9 pp, low confidence |
| [SWE-bench Pro](https://benchgap.net/b/swe-bench-pro/current.md) | 67.2% | estimated ± 6.6 pp, medium confidence |
| [AA Agentic Index](https://benchgap.net/b/aa-agentic-index/current.md) | 50.2% | estimated ± 8.0 pp, low confidence |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 86.2% | estimated ± 4.1 pp, high confidence |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 51.0% | measured |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 95.8% | estimated ± 1.0 pp, medium confidence |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 94.8% | estimated ± 1.0 pp, medium confidence |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 47.6% | measured |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 90.9% | estimated ± 2.6 pp, low confidence |
| [MMMU](https://benchgap.net/b/mmmu/current.md) | 89.2% | estimated ± 0.8 pp, medium confidence |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 88.3% | estimated ± 0.7 pp, high confidence |
| [AA-AnalystAgent](https://benchgap.net/b/aa-analyst-agent/current.md) | 52.3% | estimated ± 2.8 pp, medium confidence |
| [AA Tau3 Banking](https://benchgap.net/b/aa-tau3-banking/current.md) | 46.6% | estimated ± 5.1 pp, low confidence |
| [AA Terminal-Bench 2.1](https://benchgap.net/b/aa-terminal-bench21/current.md) | 87.3% | estimated ± 4.8 pp, medium confidence |
| [ApprenticeBench](https://benchgap.net/b/apprenticebench/current.md) | 50.2% | estimated ± 12.5 pp, low confidence |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 93.4% | estimated ± 4.4 pp, low confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 78.3% | estimated ± 14.6 pp, low confidence |
| [CursorBench 3.1](https://benchgap.net/b/cursor-bench31/current.md) | 56.6% | estimated ± 3.4 pp, medium confidence |
| [CursorBench 3.2](https://benchgap.net/b/cursor-bench32/current.md) | 61.8% | estimated ± 5.3 pp, medium confidence |
| [FrontierCode 1.1 Main](https://benchgap.net/b/frontiercode/current.md) | 46.6% | estimated ± 6.6 pp, medium confidence |
| [FrontierMath v2 (Tier 4)](https://benchgap.net/b/frontiermathv2tier4/current.md) | 92.7% | measured |
| [FrontierMath v2 (Tiers 1-3)](https://benchgap.net/b/frontiermathv2tiers13/current.md) | 90.9% | measured |
| [FrontierSWE v2](https://benchgap.net/b/frontierswev2/current.md) | 29.4% | estimated ± 14.6 pp, low confidence |
| [MazeBench](https://benchgap.net/b/mazebench/current.md) | 16.0% | measured |
| [OfficeQA Pro](https://benchgap.net/b/officeqapro/current.md) | 67.6% | estimated ± 6.8 pp, medium confidence |
| [ParseBench](https://benchgap.net/b/parsebench/current.md) | 73.6% | measured |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 98.2% | estimated ± 1.5 pp, low confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 91.8% | estimated ± 1.5 pp, low confidence |
| [Vals SWE-bench](https://benchgap.net/b/valsswebench/current.md) | 85.4% | estimated ± 7.5 pp, low confidence |
| [Terminal-Bench 2.1 (Vals AI)](https://benchgap.net/b/vals-terminal-bench21/current.md) | 81.0% | estimated ± 5.4 pp, low confidence |
| [AA AutomationBench](https://benchgap.net/b/aa-automation-bench/current.md) | 60.2% | measured |
| [CWE-Bench-AA](https://benchgap.net/b/aa-cwe-bench/current.md) | 55.1% | estimated ± 8.4 pp, low confidence |
| [DeepsecBench-AA](https://benchgap.net/b/aa-deepsec-bench/current.md) | 22.6% | estimated ± 5.3 pp, medium confidence |
| [GDP.pdf](https://benchgap.net/b/aa-gdp-pdf/current.md) | 28.6% | measured |
| [AA Terminal-Bench 4.0](https://benchgap.net/b/aa-terminal-bench4/current.md) | 55.6% | measured |
| [CursorBench 4.0](https://benchgap.net/b/cursor-bench40/current.md) | 39.2% | estimated ± 3.5 pp, high confidence |
| [CWE-bench v1](https://benchgap.net/b/cwe-bench-v1/current.md) | 62.3% | estimated ± 2.7 pp, medium confidence |
| [DeepSWE](https://benchgap.net/b/deepswe/current.md) | 65.5% | estimated ± 7.5 pp, low confidence |
| [GraphWalks BFS 256K–1M](https://benchgap.net/b/graphwalks-bfs-256k-1m/current.md) | 71.9% | estimated ± 14.8 pp, low confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 56.4% | estimated ± 4.6 pp, high confidence |
| [OSWorld 2.0](https://benchgap.net/b/osworld2/current.md) | 53.1% | estimated ± 9.2 pp, low confidence |
| [OSWorld 2.1](https://benchgap.net/b/osworld-2-1/current.md) | 79.5% | estimated ± 2.8 pp, medium confidence |
| [PostTrainBench v1.1](https://benchgap.net/b/posttrainbench-v1-1/current.md) | 32.5% | estimated ± 7.4 pp, low confidence |
| [SWE-bench Multimodal](https://benchgap.net/b/swe-bench-multimodal/current.md) | 54.1% | estimated ± 7.2 pp, low confidence |
| [Terminal-Bench 4.0](https://benchgap.net/b/terminal-bench-4/current.md) | 50.3% | measured |
| [Toolathlon-Verified](https://benchgap.net/b/toolathlonverified/current.md) | 78.6% | estimated ± 1.3 pp, low confidence |
| [OSWorld 2.1 Offline](https://benchgap.net/b/osworld-2-1-offline/current.md) | 74.2% | measured |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 1.4% | estimated ± 7.7 pp, medium confidence |
| [ARC-AGI-3 Provider Adapter](https://benchgap.net/b/arc-agi-3-provider-adapter/current.md) | 10.7% | estimated ± 7.5 pp, medium confidence |
| [Hermes Bench](https://benchgap.net/b/hermesbench/current.md) | 68.4% | estimated ± 3.4 pp, high confidence |
| [Hermes Index](https://benchgap.net/b/hermesindex/current.md) | 58.9% | estimated ± 3.1 pp, high confidence |
| [CharXiv](https://benchgap.net/b/charxiv/current.md) | 93.4% | estimated ± 5.2 pp, low confidence |
| [CharXiv w/o tools](https://benchgap.net/b/charxivnotools/current.md) | 86.9% | estimated ± 1.7 pp, low confidence |
| [ExploitBench](https://benchgap.net/b/exploitbench/current.md) | 97.1% | measured |
| [ExploitGym](https://benchgap.net/b/exploitgym/current.md) | 37.0% | estimated ± 4.0 pp, high confidence |
| [AI2D_TEST](https://benchgap.net/b/ai2dtest/current.md) | 94.2% | estimated ± 2.0 pp, low confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 93.3% | estimated ± 1.5 pp, low confidence |
| [CountBench](https://benchgap.net/b/countbench/current.md) | 100.0% | estimated ± 2.9 pp, low confidence |
| [DynaMath](https://benchgap.net/b/dynamath/current.md) | 85.5% | estimated ± 3.0 pp, low confidence |
| [ERQA](https://benchgap.net/b/erqa/current.md) | 69.1% | estimated ± 2.9 pp, medium confidence |
| [HMMT Feb 2026](https://benchgap.net/b/hmmtfeb2026/current.md) | 100.0% | estimated ± 3.3 pp, medium confidence |
| [HMMT Nov 2025](https://benchgap.net/b/hmmtnov2025/current.md) | 96.1% | estimated ± 1.5 pp, low confidence |
| [MathVision](https://benchgap.net/b/mathvision/current.md) | 95.3% | estimated ± 2.9 pp, medium confidence |
| [MLVU (M-Avg)](https://benchgap.net/b/mlvuavg/current.md) | 89.3% | estimated ± 2.2 pp, medium confidence |
| [MMAnswerBench](https://benchgap.net/b/mmanswerbench/current.md) | 97.0% | estimated ± 2.4 pp, low confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 96.9% | estimated ± 0.8 pp, low confidence |
| [MMMU-Pro](https://benchgap.net/b/mmmu-pro/current.md) | 85.5% | measured |
| [NL2Repo](https://benchgap.net/b/nl2repo/current.md) | 58.7% | estimated ± 7.4 pp, medium confidence |
| [RealWorldQA](https://benchgap.net/b/realworldqa/current.md) | 88.9% | estimated ± 2.7 pp, medium confidence |
| [ScreenSpot Pro](https://benchgap.net/b/screenspot-pro/current.md) | 79.5% | estimated ± 10.5 pp, low confidence |
| [SimpleVQA](https://benchgap.net/b/simplevqa/current.md) | 75.1% | estimated ± 7.5 pp, low confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 95.1% | estimated ± 9.3 pp, low confidence |
| [V*](https://benchgap.net/b/vstar/current.md) | 100.0% | estimated ± 7.5 pp, low confidence |
| [Video-MME (w/o subtitle)](https://benchgap.net/b/videommenosub/current.md) | 88.2% | estimated ± 1.4 pp, low confidence |
| [Video-MME (with subtitle)](https://benchgap.net/b/videommewithsub/current.md) | 89.9% | estimated ± 3.0 pp, medium confidence |
| [VideoMMMU](https://benchgap.net/b/videommmu/current.md) | 99.8% | estimated ± 5.1 pp, low confidence |
| [We-Math](https://benchgap.net/b/wemath/current.md) | 85.5% | estimated ± 7.4 pp, low confidence |
| [HealthBench Hard](https://benchgap.net/b/healthbench-hard/current.md) | 31.4% | measured |
| [MedXpertQA (MM)](https://benchgap.net/b/medxpertqamm/current.md) | 85.2% | estimated ± 2.4 pp, medium confidence |
| [React Native Evals](https://benchgap.net/b/reactnativeevals/current.md) | 78.8% | estimated ± 4.7 pp, medium confidence |
| [Finance Agent v2](https://benchgap.net/b/financeagentv2/current.md) | 62.3% | estimated ± 3.8 pp, medium confidence |
| [BioMysteryBench (human-solvable)](https://benchgap.net/b/biomysterybenchhumansolvable/current.md) | 89.5% | estimated ± 0.6 pp, medium confidence |
| [HealthBench (raw)](https://benchgap.net/b/healthbench/current.md) | 51.1% | measured |
| [HealthBench (length-adjusted)](https://benchgap.net/b/healthbenchlengthadjusted/current.md) | 55.1% | measured |
| [HealthBench Professional](https://benchgap.net/b/healthbenchprofessional/current.md) | 62.7% | measured |
| [HealthBench Professional (raw)](https://benchgap.net/b/healthbenchprofessionalraw/current.md) | 64.2% | measured |
| [HLE-Verified](https://benchgap.net/b/hleverified/current.md) | 54.3% | estimated ± 6.8 pp, low confidence |
| [LABBench2](https://benchgap.net/b/labbench2/current.md) | 82.4% | estimated ± 2.4 pp, medium confidence |
| [STEMBench](https://benchgap.net/b/stembench/current.md) | 2.6% | estimated ± 0.2 pp, high confidence |
| [Agents' Last Exam](https://benchgap.net/b/agentslastexam/current.md) | 60.0% | measured |
| [OpenHarmony Bench](https://benchgap.net/b/openharmonybench/current.md) | 58.9% | estimated ± 2.4 pp, high confidence |
| [SEC-Bench Pro](https://benchgap.net/b/secbenchpro/current.md) | 83.3% | measured |
| [MMVU](https://benchgap.net/b/mmvu/current.md) | 81.6% | estimated ± 2.7 pp, low confidence |
| [MRCRv2](https://benchgap.net/b/mrcrv2/current.md) | 85.9% | estimated ± 11.3 pp, low confidence |
| [MMLongBench-Doc](https://benchgap.net/b/mmlongbenchdoc/current.md) | 61.5% | estimated ± 2.6 pp, low confidence |
| [MMMU-Pro w/ Python](https://benchgap.net/b/mmmupropython/current.md) | 87.0% | estimated ± 2.0 pp, medium confidence |
| [OCRBench V2](https://benchgap.net/b/ocrbenchv2/current.md) | 74.4% | estimated ± 4.4 pp, low confidence |