General
Decision Index Language leaderboard
As of 2026-10-29, the highest measured score on Decision Index Language is 67.1% by mammoth-1. 6 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | mammoth-1 | 67.1% | measured |
| 2 | Perplexity Decider v1.2 27B | 65.5% | measured |
| 3 | d1-ultra | 62.6% | estimated ± 4.2 pp, medium confidence |
| 4 | Perplexity Decider Flash v1.2 4B | 62.2% | measured |
| 5 | Celeris-1 Decision | 62.2% | estimated ± 4.2 pp, medium confidence |
| 6 | elephant-1 | 62.1% | measured |
| 7 | Blink v0.3 26B-A4B (NVFP4) | 59.3% | measured |
| 8 | Surogate Rune 26B-A4B v3 | 58.6% | measured |
| 9 | Quyet-1.0-Large | 58.1% | measured |
| 10 | Jev 1.14 | 58.0% | measured |
| 11 | Kev 27B | 57.5% | measured |
| 12 | deck31b (Gemma 4 31B) | 57.4% | measured |
| 13 | Torchcast Decision 27B | 57.3% | measured |
| 14 | JPT-35B-A3B | 57.2% | measured |
| 15 | JADE | 56.5% | measured |
| 16 | simple-jev · Qwen3.8-27B | 56.1% | measured |
| 17 | GEV-26B-Decide | 55.9% | measured |
| 18 | Decider chat · Gemma-4-31B | 55.5% | measured |
| 19 | Eikos-27B | 55.1% | measured |
| 20 | Bespoke Nimble 9B v3 | 54.6% | measured |
| 21 | Solomon v1.1 | 54.2% | measured |
| 22 | vLLM-SR Decision 2.0 Vega 27B | 53.9% | measured |
| 23 | Xor 1.2 | 53.9% | measured |
| 24 | JevK5 9B v0.3.3 | 53.7% | measured |
| 25 | d1 | 53.6% | estimated ± 4.2 pp, medium confidence |
| 26 | Drex v2.0 | 52.7% | measured |
| 27 | Decider chat · Qwen3.6-27B | 52.6% | measured |
| 28 | JoshuaSP diffusiongemma (open-jev) | 51.9% | measured |
| 29 | JEV-27B | 51.2% | measured |
| 30 | Winnow-12B Q8 | 50.6% | measured |
| 31 | decisio 0.4.0 (Qwen3.6-35B-A3B) | 50.2% | measured |
| 32 | djev | 48.6% | measured |
| 33 | decider-35b-a3b | 48.4% | measured |
| 34 | Jev-Omni | 48.1% | measured |
| 35 | Clef | 47.8% | measured |
| 36 | mmastrac diffusiongemma (vLLM PR 57250) | 47.7% | measured |
| 37 | ezjev 4B s2 | 47.1% | measured |
| 38 | Hopper 12B (trained) | 47.1% | measured |
| 39 | Microsoft-Decision-1 | 46.8% | estimated ± 4.2 pp, medium confidence |
| 40 | JPT-9B | 46.5% | measured |
| 41 | JevK5 v0.3 | 46.3% | measured |
| 42 | razorback16 openjev diffusiongemma (NVFP4, vLLM) | 46.3% | measured |
| 43 | vLLM-SR Decision 2.0 Lux 9B | 46.1% | measured |
| 44 | Sieve 9B | 45.3% | measured |
| 45 | Jevfire | 44.7% | measured |
| 46 | Bespoke Nimble 9B v2 | 44.4% | measured |
| 47 | Kev 9B v2 | 44.3% | measured |
| 48 | decisio 0.4.0 (Gemma 4 12B) | 44.0% | measured |
| 49 | GLiDE | 43.2% | estimated ± 4.2 pp, medium confidence |
| 50 | RSI-Jev v5.0 VL 3B | 42.3% | measured |
| 51 | vLLM-SR Decision 2.0 Nox 4B | 42.2% | measured |
| 52 | Lev1 3.7B | 41.8% | measured |
| 53 | Intern-Decision-4B | 41.6% | measured |
| 54 | Tev1-4B-experimental | 41.4% | measured |
| 55 | JPT-4B | 41.3% | measured |
| 56 | Mercury Decide | 41.1% | estimated ± 4.2 pp, medium confidence |
| 57 | Drex v1.5 | 40.8% | measured |
| 58 | Clef-Omni | 40.7% | measured |
| 59 | JEV-9B | 40.7% | measured |
| 60 | Clef-Flash | 40.5% | measured |
| 61 | Hopper (G) 1.2 | 39.8% | measured |
| 62 | Kas 4B | 37.6% | measured |
| 63 | Winnow-E4B | 37.5% | measured |
| 64 | Jevstral 8B | 37.3% | measured |
| 65 | metask-jev-4b | 37.0% | measured |
| 66 | open-jev (pngwn) | 36.9% | measured |
| 67 | Intelif Qwen3-4B | 36.6% | measured |
| 68 | Jobe | 36.0% | measured |
| 69 | SemIf | 35.9% | measured |
| 70 | Kev 4B r10 | 35.6% | measured |
| 71 | NeoHorse-Jev-4B | 34.2% | measured |
| 72 | Decider 4B | 33.9% | measured |
| 73 | Ryotide Qwen v0.3.1 | 33.2% | measured |
| 74 | openvons | 31.7% | measured |
| 75 | lev | 29.5% | measured |
| 76 | mini-jev | 29.1% | measured |
| 77 | Intern-Decision-2B | 28.8% | measured |
| 78 | Gevva E4B | 28.3% | measured |
| 79 | decider-2b | 27.4% | measured |
| 80 | vLLM-SR Decision 2.0 Sol 2B | 24.0% | measured |
| 81 | this-that 1.2 | 23.4% | measured |
| 82 | EXAONE-4.0-1.2B-JEV v0.3 | 22.2% | measured |
| 83 | Sieve 2B | 21.7% | measured |
| 84 | Gevva E2B | 21.2% | measured |
| 85 | vLLM-SR Decision 2.0 Eos 0.8B | 19.7% | measured |
| 86 | Bekko System One v0 400M | 19.6% | measured |
| 87 | JPT-0.8B | 19.3% | measured |
| 88 | GLiNER2.5-Decide | 15.5% | measured |
| 89 | Bosun v3.1 1.7B | 14.7% | measured |
| 90 | Von 1.3 | 14.7% | measured |
| 91 | Laya | 14.6% | measured |
| 92 | Tev1-0.8B-experimental | 14.4% | measured |
| 93 | Sifr 0.8B v3.1 | 14.3% | measured |
| 94 | JevK5 Lite | 13.8% | measured |
| 95 | vLLM-SR Decision 2.0 Kai 0.6B | 13.1% | measured |
| 96 | Kev 0.8B r15 | 12.4% | measured |
| 97 | Jev-Style 0.8B v3 | 12.0% | measured |
| 98 | Kodiak v0.2 1B (accuracy) | 10.6% | measured |
| 99 | Lavoir | 9.2% | measured |
| 100 | Intern-Decision-0.8B | 8.4% | measured |
| 101 | jeff | 7.8% | measured |
| 102 | Qwen-2.5-1B-RLCD | 7.7% | measured |
| 103 | Bekko System One v0 68M | 6.5% | measured |
| 104 | CLM-v0.1-8B | 5.7% | measured |
| 105 | LFM2.5-2.6B-RLCD | 5.4% | measured |
| 106 | Bosun v3.1 0.6B | 5.1% | measured |
| 107 | DM-JEPA 1.1 | 2.6% | measured |
| 108 | LFM2.5-350M-RLCD | 2.0% | measured |
| 109 | Zev | 1.8% | measured |
| 110 | system-one-gemma | 1.7% | measured |
| 111 | Julia 1 | 1.5% | measured |
| 112 | Bekko System One v0 17M | 0.6% | measured |
| 113 | Verdict | 0.0% | measured |
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