Agentic · tools
PinchBench leaderboard
As of 2026-10-29, the highest measured score on PinchBench is 95.7% by Pokee-Isaac 28B. 78 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | BTL-3 | 100.0% | estimated ± 5.0 pp, low confidence |
| 2 | BTL-4 | 100.0% | estimated ± 5.0 pp, low confidence |
| 3 | Qwen3.7 Max | 100.0% | estimated ± 5.0 pp, low confidence |
| 4 | Qwen3.7 Plus | 100.0% | estimated ± 5.0 pp, low confidence |
| 5 | LFM3-1.7B | 99.0% | estimated ± 5.0 pp, low confidence |
| 6 | Pokee-Isaac 28B | 95.7% | measured |
| 7 | Mercury 2.5 | 95.1% | estimated ± 5.5 pp, low confidence |
| 8 | Mistral Medium 3.5 128B | 95.0% | estimated ± 5.5 pp, low confidence |
| 9 | MiMo-V2.5-Pro | 94.6% | estimated ± 5.5 pp, low confidence |
| 10 | Qwen3.6 Plus | 94.5% | estimated ± 5.5 pp, low confidence |
| 11 | Claude Opus 4.5 | 94.5% | estimated ± 5.5 pp, low confidence |
| 12 | MiniMax M2.7 | 94.4% | estimated ± 5.5 pp, low confidence |
| 13 | Qwen3.6-35B-A3B | 94.4% | estimated ± 5.5 pp, low confidence |
| 14 | Mercury 3 | 91.5% | estimated ± 5.5 pp, low confidence |
| 15 | Atria Dawn Preview | 90.8% | estimated ± 3.6 pp, low confidence |
| 16 | GPT-5.6 Sol | 90.8% | estimated ± 3.6 pp, low confidence |
| 17 | Kimi K3.1 Pro | 90.8% | estimated ± 3.6 pp, low confidence |
| 18 | Ling 3.1 Flash | 90.8% | estimated ± 3.6 pp, low confidence |
| 19 | GPT-6 Astra | 90.7% | estimated ± 3.6 pp, low confidence |
| 20 | Kimi K3 | 90.7% | estimated ± 3.6 pp, low confidence |
| 21 | Claude Opus 5 | 90.7% | estimated ± 3.6 pp, low confidence |
| 22 | GPT-5.5 Pro | 90.7% | estimated ± 3.6 pp, low confidence |
| 23 | GPT-5.4 Pro | 90.7% | estimated ± 3.6 pp, low confidence |
| 24 | Step 5 Preview | 90.6% | estimated ± 3.6 pp, low confidence |
| 25 | Claude Mythos 5 | 90.6% | estimated ± 3.6 pp, low confidence |
| 26 | GPT-5.6 Terra | 90.6% | estimated ± 3.6 pp, low confidence |
| 27 | Ornith-1.5-397B | 90.5% | estimated ± 3.6 pp, low confidence |
| 28 | Claude Sonnet 5 | 90.4% | estimated ± 3.6 pp, low confidence |
| 29 | Mistral Large 4 | 90.4% | estimated ± 3.6 pp, low confidence |
| 30 | GPT-5.5 | 90.4% | estimated ± 3.6 pp, low confidence |
| 31 | Claude Opus 4.8 | 90.4% | estimated ± 3.6 pp, low confidence |
| 32 | Claude Opus 4.6 | 90.4% | estimated ± 3.6 pp, low confidence |
| 33 | MiniMax M3 | 90.4% | estimated ± 3.6 pp, low confidence |
| 34 | DeepSeek V4 Pro 0813 | 90.4% | estimated ± 3.6 pp, low confidence |
| 35 | dots3-note Preview | 90.4% | estimated ± 3.6 pp, low confidence |
| 36 | GPT-5.6 Luna | 90.4% | estimated ± 3.6 pp, low confidence |
| 37 | Kimi K2.6 | 90.4% | estimated ± 3.6 pp, low confidence |
| 38 | Nemotron 3.5 Bolt 74B-A9B BF16 | 90.4% | measured |
| 39 | GPT-5.4 | 90.3% | estimated ± 3.6 pp, low confidence |
| 40 | Ling 3.0 Flash Sante | 90.2% | estimated ± 3.6 pp, medium confidence |
| 41 | Claude Opus 4.7 (Adaptive) | 90.2% | estimated ± 3.6 pp, medium confidence |
| 42 | Nemotron 3.5 Super VL 120B A12B | 90.1% | estimated ± 3.6 pp, medium confidence |
| 43 | Nemotron 3.5 Super VL 120B A12B NVFP4 | 90.1% | estimated ± 3.6 pp, medium confidence |
| 44 | Inkling-Small | 90.1% | estimated ± 3.6 pp, medium confidence |
| 45 | Inkling | 90.0% | estimated ± 3.6 pp, medium confidence |
| 46 | Beam 1.0 501B-A23B | 90.0% | estimated ± 3.6 pp, medium confidence |
| 47 | Beam 1.0 501B-A23B FP8 | 90.0% | estimated ± 3.6 pp, medium confidence |
| 48 | Nemotron 3 Ultra | 90.0% | measured |
| 49 | Sage-A1.5 | 90.0% | measured |
| 50 | Step 3.7 Flash | 90.0% | estimated ± 3.6 pp, medium confidence |
| 51 | Beam 1.0 501B-A23B NVFP4 | 90.0% | estimated ± 3.6 pp, medium confidence |
| 52 | Agents-A1 | 90.0% | estimated ± 3.6 pp, medium confidence |
| 53 | DeepSeek V4 Flash 0731 | 89.8% | estimated ± 3.6 pp, medium confidence |
| 54 | Ling 3.0 Flash | 89.7% | estimated ± 3.6 pp, medium confidence |
| 55 | Qwen3.5 397B | 89.5% | estimated ± 3.6 pp, medium confidence |
| 56 | GLM-5.1 | 89.5% | estimated ± 3.6 pp, medium confidence |
| 57 | Ornith-1.5-35B-A3B | 89.4% | estimated ± 3.6 pp, medium confidence |
| 58 | Agents-A1-4B | 89.4% | estimated ± 3.6 pp, medium confidence |
| 59 | GPT-5.2 | 89.3% | estimated ± 3.6 pp, medium confidence |
| 60 | Qwen3.5-122B-A10B | 89.1% | estimated ± 3.6 pp, medium confidence |
| 61 | MiniCPM5-2B | 89.1% | estimated ± 5.0 pp, low confidence |
| 62 | GLM-5 | 89.0% | estimated ± 3.6 pp, medium confidence |
| 63 | Qwen3.5-27B | 88.9% | estimated ± 3.6 pp, medium confidence |
| 64 | Qwen3.5-35B-A3B | 88.9% | estimated ± 3.6 pp, medium confidence |
| 65 | Kimi K2.5 | 88.9% | estimated ± 3.6 pp, medium confidence |
| 66 | Kimi K2.5 (Reasoning) | 88.9% | estimated ± 3.6 pp, medium confidence |
| 67 | Ornith-1.5-9B | 88.4% | estimated ± 3.6 pp, medium confidence |
| 68 | Spark-X2.6-4B | 88.1% | estimated ± 3.6 pp, medium confidence |
| 69 | GLM-4.7 | 88.0% | estimated ± 3.6 pp, medium confidence |
| 70 | Nemotron 3.5 Bolt 74B-A9B | 87.8% | measured |
| 71 | Sarvam 105B | 87.6% | estimated ± 3.6 pp, medium confidence |
| 72 | Solar Pro 4 | 87.6% | estimated ± 3.6 pp, medium confidence |
| 73 | LongCat-Flash-Lite-Sparse | 87.5% | estimated ± 3.6 pp, medium confidence |
| 74 | Sarvam 30B | 85.1% | estimated ± 3.6 pp, low confidence |
| 75 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 83.4% | measured |
| 76 | LFM2.5-24B-A2B | 83.2% | measured |
| 77 | LLaDA2.2-flash | 81.7% | measured |
| 78 | Granite 4.2 30B | 79.0% | estimated ± 5.0 pp, low confidence |
| 79 | LFM2.5-2.6B | 68.2% | measured |
| 80 | Granite 4.2 3B | 63.3% | estimated ± 5.0 pp, low confidence |
| 81 | Granite 4.2 8B | 63.3% | estimated ± 5.0 pp, low confidence |
| 82 | LLaDA2.2-mini | 62.3% | measured |
| 83 | LFM2.5-8B-A1B | 59.0% | estimated ± 5.0 pp, low confidence |
| 84 | Mellum2-12B-A2.5B-Thinking | 52.7% | estimated ± 5.0 pp, low confidence |
| 85 | Mellum2-12B-A2.5B-Instruct | 50.6% | estimated ± 5.0 pp, low confidence |
| 86 | ZAYA1-8B | 43.5% | estimated ± 5.0 pp, low confidence |
| 87 | LFM2.5-VL-3B | 34.6% | estimated ± 5.0 pp, low confidence |
| 88 | MiniCPM5-1B | 25.7% | estimated ± 5.0 pp, low confidence |
All leaderboards
Agentic · terminal
- AA Terminal-Bench 2.1
- AA Terminal-Bench 4.0
- Terminal-Bench 2.0
- Terminal-Bench 3.0
- Terminal-Bench 4.0
- Terminal-Bench Hard
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
- AA-AnalystAgent
- AA AutomationBench
- CWE-Bench-AA
- AA Cyber Index
- DeepsecBench-AA
- AA EnterpriseOps-Gym
- GDP.pdf
- AA Harvey LAB v1.0
- AA ITBench
- AA Tau3 Banking
- Agents' Last Exam
- APEX-Agents
- APEX-Agents-AA
- ApprenticeBench
- AutomationBench
- BFCL v4
- BrowseComp
- Claw-Eval
- CWE-bench v1
- CyberGym
- DeepPlanning
- DeepSearchQA
- DRACO
- ExploitGym
- Finance Agent v2
- GDPval-AA
- Gert Labs
- Hermes Bench
- Hermes Index
- HLE w/ tools
- JobBench
- MazeBench
- MCP Atlas
- MCP-Tasks
- OSWorld 2.1
- OSWorld 2.1 Offline
- OSWorld-Verified
- OSWorld 2.0
- PinchBench
- QwenClawBench
- ResearchClawBench
- SkillsBench
- τ²-bench results
- τ³-bench results
- Toolathlon
- Toolathlon-Verified
- VITA-Bench
- WideResearch
Coding
- AA Coding Index
- AA LiveCodeBench
- AA-SciCode
- Bug Hunt Bench
- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
- DeepSWE
- FrontierCode 1.1 Main
- FrontierCode 2.0
- FrontierCode 1.1 Extended
- FrontierSWE v2
- LiveCodeBench
- LiveCodeBench Pro
- LiveCodeBench v6
- NL2Repo
- OpenHarmony Bench
- PostTrainBench v1.1
- ProgramBench
- React Native Evals
- SciCode
- SWE-Atlas Codebase QnA
- SWE-bench Pro
- SWE-bench Verified
- SWE-Rebench
- SWE-Marathon
- Vals LiveCodeBench
- Vals SWE-bench
- Vibe Code Bench
- VulcanBench v3
Math
- AIME 2024
- AIME 2025
- AIME26
- FrontierMath v2 (Tier 4)
- FrontierMath v2 (Tiers 1-3)
- HMMT Feb 2025
- HMMT Feb 2026
- HMMT Nov 2025
- IMOAnswerBench
- MATH-500
- MMAnswerBench
Knowledge & reasoning
- AA-GPQA Diamond
- AA-HLE
- AA MMLU-Pro
- ARC-AGI-2
- ARC-AGI-3 Provider Adapter
- ARC-AGI-1
- ARC-AGI-3
- Artificial Analysis Intelligence Index
- BBH
- BioMysteryBench (human-difficult)
- BioMysteryBench (human-solvable)
- C-Eval
- CritPt
- GPQA
- GPQA Diamond
- GraphWalks BFS 256K–1M
- HealthBench (raw)
- HealthBench Hard
- HealthBench (length-adjusted)
- HealthBench Professional
- HealthBench Professional (raw)
- HLE
- HLE w/o tools
- HLE-Verified
- JevBench 1.4
- LABBench2
- MedXpertQA (Text)
- MMLU
- MMLU-Pro
- MMLU-Pro (Arcee)
- MMLU-Redux
- MMMLU
- AA-Omniscience Accuracy
- SimpleQA
- STEMBench
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
- AA-MMMU-Pro
- AI2D_TEST
- BabyVision
- CC-OCR
- Chartography (tools)
- CharXiv
- CharXiv w/o tools
- CountBench
- DynaMath
- ERQA
- LVBench
- MathVision
- MathVision w/ Python
- MedXpertQA (MM)
- MLVU (M-Avg)
- MMMU
- MMMU-Pro
- MMMU-Pro w/ Python
- MMVU
- OCRBench V2
- OfficeQA Pro
- OmniDocBench 1.5
- ParseBench
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- SWE-bench Multimodal
- Video-MME (w/o subtitle)
- Video-MME (with subtitle)
- VideoMMMU
- V*
- We-Math
- ZeroBench