# Inkling 2 Small benchmark scores

Other · model · https://benchgap.net/model/inkling-2-small · data retrieved 2026-11-07

As of 2026-11-07, Inkling 2 Small (Other) has measured scores on 37 benchmarks and estimated scores on 125 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 91.1% | estimated ± 2.7 pp, high confidence |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 44.1% | measured |
| [AA-SciCode](https://benchgap.net/b/aa-sci-code/current.md) | 52.3% | measured |
| [AIME26](https://benchgap.net/b/aime2026/current.md) | 96.9% | estimated ± 1.3 pp, medium confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 19.2% | estimated ± 2.5 pp, high confidence |
| [GDPval-AA](https://benchgap.net/b/gdpvalaanormalized/current.md) | 61.0% | estimated ± 6.2 pp, medium confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 93.0% | measured |
| [HLE](https://benchgap.net/b/hle/current.md) | 53.2% | measured |
| [AA-LCR](https://benchgap.net/b/lcr/current.md) | 83.3% | measured |
| [LiveCodeBench v6](https://benchgap.net/b/livecodebench-v6/current.md) | 92.8% | estimated ± 4.9 pp, medium confidence |
| [SciCode](https://benchgap.net/b/scicode/current.md) | 52.1% | estimated ± 3.1 pp, high confidence |
| [Terminal-Bench 2.1](https://benchgap.net/b/terminalbench21/current.md) | 85.1% | measured |
| [BrowseComp](https://benchgap.net/b/browsecomp/current.md) | 90.2% | measured |
| [HLE w/ tools](https://benchgap.net/b/hlewithtools/current.md) | 56.4% | estimated ± 5.2 pp, medium confidence |
| [LongBench v2](https://benchgap.net/b/longbench-v2/current.md) | 70.6% | measured |
| [VITA-Bench](https://benchgap.net/b/vitabench/current.md) | 47.1% | estimated ± 6.7 pp, low confidence |
| [τ²-bench results](https://benchgap.net/b/tau2-bench/current.md) | 93.8% | estimated ± 11.5 pp, low confidence |
| [AA Coding Index](https://benchgap.net/b/aa-coding-index/current.md) | 76.8% | estimated ± 2.5 pp, high confidence |
| [AA-MMMU-Pro](https://benchgap.net/b/aa-mmmu-pro/current.md) | 81.6% | measured |
| [APEX-Agents](https://benchgap.net/b/apexagents/current.md) | 37.9% | estimated ± 0.6 pp, medium confidence |
| [APEX-Agents-AA](https://benchgap.net/b/apexagentsaa/current.md) | 43.7% | estimated ± 3.6 pp, low confidence |
| [BioMysteryBench (human-difficult)](https://benchgap.net/b/biomysterybenchhumandifficult/current.md) | 44.1% | estimated ± 8.1 pp, low confidence |
| [DeepSearchQA](https://benchgap.net/b/deepsearchqa/current.md) | 90.9% | measured |
| [SWE-bench Verified](https://benchgap.net/b/swe-bench-verified/current.md) | 82.2% | measured |
| [AutomationBench](https://benchgap.net/b/automationbench/current.md) | 30.9% | estimated ± 8.2 pp, low confidence |
| [BFCL v4](https://benchgap.net/b/bfcl-v4/current.md) | 77.3% | estimated ± 4.7 pp, low confidence |
| [CyberGym](https://benchgap.net/b/cybergym/current.md) | 81.1% | estimated ± 3.1 pp, low confidence |
| [JobBench](https://benchgap.net/b/jobbench/current.md) | 70.5% | measured |
| [SWE-bench Pro](https://benchgap.net/b/swe-bench-pro/current.md) | 60.9% | estimated ± 4.5 pp, high confidence |
| [WideResearch](https://benchgap.net/b/wideresearch/current.md) | 85.7% | estimated ± 1.2 pp, low confidence |
| [AA Agentic Index](https://benchgap.net/b/aa-agentic-index/current.md) | 42.9% | estimated ± 5.8 pp, medium confidence |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 85.7% | estimated ± 2.5 pp, low confidence |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 30.6% | measured |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 93.0% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 92.1% | estimated ± 1.0 pp, high confidence |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 33.8% | measured |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 90.8% | estimated ± 1.1 pp, low confidence |
| [MMMU](https://benchgap.net/b/mmmu/current.md) | 87.1% | estimated ± 0.8 pp, medium confidence |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 87.1% | estimated ± 0.6 pp, medium confidence |
| [AIME 2025](https://benchgap.net/b/aime2025/current.md) | 98.8% | estimated ± 3.8 pp, low confidence |
| [Gert Labs](https://benchgap.net/b/gertlabs/current.md) | 100.0% | estimated ± 7.3 pp, low confidence |
| [AA-AnalystAgent](https://benchgap.net/b/aa-analyst-agent/current.md) | 51.2% | measured |
| [AA EnterpriseOps-Gym](https://benchgap.net/b/aa-enterprise-ops-gym/current.md) | 46.8% | measured |
| [AA Harvey LAB v1.0](https://benchgap.net/b/aa-harvey-lab/current.md) | 93.0% | estimated ± 9.8 pp, low confidence |
| [AA Tau3 Banking](https://benchgap.net/b/aa-tau3-banking/current.md) | 40.4% | measured |
| [AA Terminal-Bench 2.1](https://benchgap.net/b/aa-terminal-bench21/current.md) | 81.3% | measured |
| [ApprenticeBench](https://benchgap.net/b/apprenticebench/current.md) | 21.1% | estimated ± 5.6 pp, low confidence |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 93.3% | estimated ± 2.7 pp, high confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 71.4% | estimated ± 10.1 pp, low confidence |
| [CursorBench 3.1](https://benchgap.net/b/cursor-bench31/current.md) | 49.7% | estimated ± 3.4 pp, medium confidence |
| [CursorBench 3.2](https://benchgap.net/b/cursor-bench32/current.md) | 57.4% | estimated ± 5.3 pp, medium confidence |
| [Terminal-Bench 3.0](https://benchgap.net/b/terminal-bench-3/current.md) | 18.5% | estimated ± 8.6 pp, low confidence |
| [FrontierCode 1.1 Main](https://benchgap.net/b/frontiercode/current.md) | 32.5% | estimated ± 2.7 pp, medium confidence |
| [FrontierMath v2 (Tier 4)](https://benchgap.net/b/frontiermathv2tier4/current.md) | 33.4% | estimated ± 4.3 pp, medium confidence |
| [FrontierMath v2 (Tiers 1-3)](https://benchgap.net/b/frontiermathv2tiers13/current.md) | 55.6% | estimated ± 9.0 pp, medium confidence |
| [FrontierSWE v2](https://benchgap.net/b/frontierswev2/current.md) | 22.7% | estimated ± 15.0 pp, low confidence |
| [MazeBench](https://benchgap.net/b/mazebench/current.md) | 0.1% | estimated ± 5.1 pp, medium confidence |
| [OfficeQA Pro](https://benchgap.net/b/officeqapro/current.md) | 66.7% | estimated ± 2.5 pp, medium confidence |
| [OSWorld-Verified](https://benchgap.net/b/osworld-verified/current.md) | 81.3% | estimated ± 4.4 pp, medium confidence |
| [ParseBench](https://benchgap.net/b/parsebench/current.md) | 71.1% | estimated ± 0.5 pp, medium confidence |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 92.3% | estimated ± 2.0 pp, high confidence |
| [Vals LiveCodeBench](https://benchgap.net/b/valslivecodebench/current.md) | 84.7% | estimated ± 9.9 pp, low confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 88.2% | estimated ± 1.2 pp, high confidence |
| [Vals SWE-bench](https://benchgap.net/b/valsswebench/current.md) | 79.4% | estimated ± 6.8 pp, medium confidence |
| [Terminal-Bench 2.1 (Vals AI)](https://benchgap.net/b/vals-terminal-bench21/current.md) | 69.9% | estimated ± 6.1 pp, low confidence |
| [AA AutomationBench](https://benchgap.net/b/aa-automation-bench/current.md) | 45.6% | measured |
| [CWE-Bench-AA](https://benchgap.net/b/aa-cwe-bench/current.md) | 55.3% | estimated ± 6.4 pp, medium confidence |
| [AA Cyber Index](https://benchgap.net/b/aa-cyber-index/current.md) | 42.4% | estimated ± 13.5 pp, low confidence |
| [DeepsecBench-AA](https://benchgap.net/b/aa-deepsec-bench/current.md) | 8.0% | estimated ± 5.5 pp, low confidence |
| [GDP.pdf](https://benchgap.net/b/aa-gdp-pdf/current.md) | 25.2% | measured |
| [AA ITBench](https://benchgap.net/b/aa-itbench/current.md) | 50.1% | estimated ± 4.1 pp, high confidence |
| [AA Terminal-Bench 4.0](https://benchgap.net/b/aa-terminal-bench4/current.md) | 13.1% | measured |
| [Bug Hunt Bench](https://benchgap.net/b/bug-hunt-bench/current.md) | 15.3% | estimated ± 3.2 pp, low confidence |
| [CursorBench 4.0](https://benchgap.net/b/cursor-bench40/current.md) | 33.3% | estimated ± 3.5 pp, medium confidence |
| [CWE-bench v1](https://benchgap.net/b/cwe-bench-v1/current.md) | 34.3% | estimated ± 4.2 pp, low confidence |
| [DeepSWE](https://benchgap.net/b/deepswe/current.md) | 72.1% | measured |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 44.1% | measured |
| [OSWorld 2.0](https://benchgap.net/b/osworld2/current.md) | 52.8% | estimated ± 9.2 pp, low confidence |
| [OSWorld 2.1](https://benchgap.net/b/osworld-2-1/current.md) | 77.2% | estimated ± 2.8 pp, medium confidence |
| [PostTrainBench v1.1](https://benchgap.net/b/posttrainbench-v1-1/current.md) | 40.1% | estimated ± 4.5 pp, high confidence |
| [SWE Multilingual](https://benchgap.net/b/swe-bench-multilingual/current.md) | 81.2% | measured |
| [Terminal-Bench 4.0](https://benchgap.net/b/terminal-bench-4/current.md) | 17.7% | estimated ± 5.8 pp, low confidence |
| [Toolathlon-Verified](https://benchgap.net/b/toolathlonverified/current.md) | 77.4% | estimated ± 1.6 pp, medium confidence |
| [OSWorld 2.1 Offline](https://benchgap.net/b/osworld-2-1-offline/current.md) | 71.0% | estimated ± 9.2 pp, low confidence |
| [Vibe Code Bench](https://benchgap.net/b/vibecodebench/current.md) | 59.3% | estimated ± 8.1 pp, medium confidence |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 0.3% | estimated ± 2.0 pp, high confidence |
| [ARC-AGI-3 Provider Adapter](https://benchgap.net/b/arc-agi-3-provider-adapter/current.md) | 4.2% | estimated ± 7.5 pp, medium confidence |
| [Hermes Bench](https://benchgap.net/b/hermesbench/current.md) | 67.9% | estimated ± 3.9 pp, high confidence |
| [Hermes Index](https://benchgap.net/b/hermesindex/current.md) | 33.6% | estimated ± 8.8 pp, medium confidence |
| [CharXiv](https://benchgap.net/b/charxiv/current.md) | 87.7% | measured |
| [CharXiv w/o tools](https://benchgap.net/b/charxivnotools/current.md) | 85.6% | measured |
| [ExploitGym](https://benchgap.net/b/exploitgym/current.md) | 28.0% | estimated ± 9.2 pp, low confidence |
| [AI2D_TEST](https://benchgap.net/b/ai2dtest/current.md) | 93.5% | estimated ± 0.9 pp, low confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 94.7% | estimated ± 1.0 pp, low confidence |
| [Claw-Eval](https://benchgap.net/b/claw-eval/current.md) | 72.0% | estimated ± 6.3 pp, low confidence |
| [CountBench](https://benchgap.net/b/countbench/current.md) | 97.3% | estimated ± 1.3 pp, low confidence |
| [DeepPlanning](https://benchgap.net/b/deepplanning/current.md) | 52.4% | estimated ± 13.1 pp, low confidence |
| [DynaMath](https://benchgap.net/b/dynamath/current.md) | 87.6% | estimated ± 0.8 pp, low confidence |
| [ERQA](https://benchgap.net/b/erqa/current.md) | 72.6% | estimated ± 2.9 pp, medium confidence |
| [HMMT Feb 2026](https://benchgap.net/b/hmmtfeb2026/current.md) | 95.8% | measured |
| [HMMT Nov 2025](https://benchgap.net/b/hmmtnov2025/current.md) | 96.5% | estimated ± 2.8 pp, medium confidence |
| [INCLUDE](https://benchgap.net/b/include/current.md) | 86.8% | estimated ± 2.0 pp, medium confidence |
| [MathVision](https://benchgap.net/b/mathvision/current.md) | 92.8% | measured |
| [MCP Atlas](https://benchgap.net/b/mcpatlas/current.md) | 85.0% | measured |
| [MLVU (M-Avg)](https://benchgap.net/b/mlvuavg/current.md) | 88.5% | estimated ± 1.5 pp, high confidence |
| [MMAnswerBench](https://benchgap.net/b/mmanswerbench/current.md) | 88.1% | estimated ± 2.8 pp, low confidence |
| [MMLU-ProX](https://benchgap.net/b/mmluprox/current.md) | 87.2% | estimated ± 1.3 pp, medium confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 95.2% | estimated ± 0.8 pp, medium confidence |
| [MMMU-Pro](https://benchgap.net/b/mmmu-pro/current.md) | 81.6% | measured |
| [NL2Repo](https://benchgap.net/b/nl2repo/current.md) | 50.4% | estimated ± 6.2 pp, medium confidence |
| [OmniDocBench 1.5](https://benchgap.net/b/omnidocbench15/current.md) | 91.2% | estimated ± 2.2 pp, high confidence |
| [QwenClawBench](https://benchgap.net/b/qwenclawbench/current.md) | 70.2% | estimated ± 2.6 pp, medium confidence |
| [RealWorldQA](https://benchgap.net/b/realworldqa/current.md) | 87.8% | estimated ± 1.0 pp, medium confidence |
| [ScreenSpot Pro](https://benchgap.net/b/screenspot-pro/current.md) | 83.8% | measured |
| [SimpleVQA](https://benchgap.net/b/simplevqa/current.md) | 76.2% | estimated ± 7.3 pp, medium confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 92.0% | estimated ± 6.9 pp, low confidence |
| [Toolathlon](https://benchgap.net/b/toolathlon/current.md) | 61.0% | estimated ± 4.2 pp, high confidence |
| [V*](https://benchgap.net/b/vstar/current.md) | 96.0% | estimated ± 6.5 pp, low confidence |
| [Video-MME (w/o subtitle)](https://benchgap.net/b/videommenosub/current.md) | 86.3% | estimated ± 1.4 pp, low confidence |
| [Video-MME (with subtitle)](https://benchgap.net/b/videommewithsub/current.md) | 90.1% | estimated ± 1.9 pp, high confidence |
| [VideoMMMU](https://benchgap.net/b/videommmu/current.md) | 86.7% | estimated ± 1.5 pp, medium confidence |
| [We-Math](https://benchgap.net/b/wemath/current.md) | 87.5% | estimated ± 2.1 pp, low confidence |
| [HealthBench Hard](https://benchgap.net/b/healthbench-hard/current.md) | 35.1% | estimated ± 5.1 pp, low confidence |
| [MedXpertQA (MM)](https://benchgap.net/b/medxpertqamm/current.md) | 77.9% | estimated ± 2.4 pp, high confidence |
| [MedXpertQA (Text)](https://benchgap.net/b/medxpertqatext/current.md) | 63.9% | estimated ± 4.5 pp, medium confidence |
| [MMLU-Pro (Arcee)](https://benchgap.net/b/mmlu-pro-arcee/current.md) | 87.9% | estimated ± 3.4 pp, low confidence |
| [React Native Evals](https://benchgap.net/b/reactnativeevals/current.md) | 88.7% | estimated ± 2.3 pp, low confidence |
| [ResearchClawBench](https://benchgap.net/b/researchclawbench/current.md) | 19.6% | estimated ± 1.8 pp, low confidence |
| [SWE-Rebench](https://benchgap.net/b/swe-rebench/current.md) | 61.8% | estimated ± 3.6 pp, medium confidence |
| [Finance Agent v2](https://benchgap.net/b/financeagentv2/current.md) | 57.3% | estimated ± 4.2 pp, medium confidence |
| [BioMysteryBench (human-solvable)](https://benchgap.net/b/biomysterybenchhumansolvable/current.md) | 87.5% | estimated ± 1.4 pp, low confidence |
| [Chartography (tools)](https://benchgap.net/b/chartographywithtools/current.md) | 80.4% | measured |
| [DRACO](https://benchgap.net/b/draco/current.md) | 83.7% | estimated ± 4.5 pp, medium confidence |
| [HealthBench (raw)](https://benchgap.net/b/healthbench/current.md) | 52.4% | estimated ± 6.0 pp, medium confidence |
| [HealthBench (length-adjusted)](https://benchgap.net/b/healthbenchlengthadjusted/current.md) | 55.1% | estimated ± 3.4 pp, medium confidence |
| [HealthBench Professional](https://benchgap.net/b/healthbenchprofessional/current.md) | 58.4% | estimated ± 4.5 pp, medium confidence |
| [HealthBench Professional (raw)](https://benchgap.net/b/healthbenchprofessionalraw/current.md) | 62.8% | estimated ± 4.5 pp, high confidence |
| [HLE-Verified](https://benchgap.net/b/hleverified/current.md) | 53.8% | estimated ± 6.8 pp, low confidence |
| [LABBench2](https://benchgap.net/b/labbench2/current.md) | 81.5% | estimated ± 2.4 pp, medium confidence |
| [ScarfBench](https://benchgap.net/b/scarfbench/current.md) | 67.6% | estimated ± 3.8 pp, medium 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) | 37.1% | estimated ± 4.3 pp, low confidence |
| [LiveCodeBench](https://benchgap.net/b/livecodebench/current.md) | 80.6% | estimated ± 14.6 pp, low confidence |
| [Agents' Last Exam](https://benchgap.net/b/agentslastexam/current.md) | 45.7% | estimated ± 11.0 pp, low confidence |
| [BabyVision w/ Python](https://benchgap.net/b/babyvisionpython/current.md) | 93.7% | measured |
| [OpenHarmony Bench](https://benchgap.net/b/openharmonybench/current.md) | 58.8% | estimated ± 2.4 pp, high confidence |
| [IMOAnswerBench](https://benchgap.net/b/imoanswerbench/current.md) | 86.3% | estimated ± 5.6 pp, medium confidence |
| [BabyVision](https://benchgap.net/b/babyvision/current.md) | 68.6% | measured |
| [MMVU](https://benchgap.net/b/mmvu/current.md) | 79.3% | estimated ± 2.7 pp, medium confidence |
| [PerceptionBench](https://benchgap.net/b/perceptionbench/current.md) | 64.7% | measured |
| [ZeroBench](https://benchgap.net/b/zerobench/current.md) | 19.7% | estimated ± 4.7 pp, low confidence |
| [MRCRv2](https://benchgap.net/b/mrcrv2/current.md) | 85.9% | estimated ± 11.3 pp, low confidence |
| [LVBench](https://benchgap.net/b/lvbench/current.md) | 80.9% | estimated ± 8.2 pp, low confidence |
| [MMLongBench-Doc](https://benchgap.net/b/mmlongbenchdoc/current.md) | 61.5% | estimated ± 2.6 pp, low confidence |
| [SWE-Marathon](https://benchgap.net/b/swemarathon/current.md) | 38.8% | measured |
| [BioBasicsBench](https://benchgap.net/b/biobasicsbench/current.md) | 33.4% | estimated ± 2.2 pp, medium confidence |
| [LifeVal](https://benchgap.net/b/lifeval/current.md) | 79.7% | estimated ± 1.6 pp, medium confidence |
| [MMMU-Pro w/ Python](https://benchgap.net/b/mmmupropython/current.md) | 84.2% | estimated ± 2.0 pp, high confidence |
| [OCRBench V2](https://benchgap.net/b/ocrbenchv2/current.md) | 73.4% | estimated ± 4.4 pp, medium confidence |
| [MathVision w/ Python](https://benchgap.net/b/mathvisionpython/current.md) | 96.6% | estimated ± 0.5 pp, medium confidence |
| [PinchBench](https://benchgap.net/b/pinchbench/current.md) | 90.7% | estimated ± 3.6 pp, low confidence |
| [SWE-Atlas Codebase QnA](https://benchgap.net/b/swe-atlas-codebase-qna/current.md) | 61.2% | estimated ± 5.4 pp, low confidence |