Agentic · terminal
AA Terminal-Bench 2.1 leaderboard
As of 2026-10-07, the highest measured score on AA Terminal-Bench 2.1 is 91.4% by Claude Fable 5.1. 92 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Fable 5.1 | 91.4% | measured |
| 2 | Claude Opus 5 | 88.8% | estimated ± 4.4 pp, high confidence |
| 3 | GPT-6 Astra | 88.4% | measured |
| 4 | Gemini 3.8 Flash | 87.6% | measured |
| 5 | Grok 4.6 | 87.6% | estimated ± 4.4 pp, high confidence |
| 6 | GPT-5.5 | 87.1% | estimated ± 4.4 pp, high confidence |
| 7 | Claude Sonnet 5.5 | 86.8% | estimated ± 2.6 pp, medium confidence |
| 8 | Claude Opus 5.5 | 86.8% | estimated ± 2.6 pp, medium confidence |
| 9 | Gemini 4 Argon | 86.8% | estimated ± 2.6 pp, high confidence |
| 10 | GPT-6.1 Sol | 86.8% | estimated ± 2.6 pp, high confidence |
| 11 | GPT-6 Sol | 86.8% | estimated ± 2.6 pp, high confidence |
| 12 | MiMo-V2.6-Pro | 86.7% | estimated ± 2.6 pp, high confidence |
| 13 | Step 5 Preview | 86.6% | estimated ± 2.6 pp, high confidence |
| 14 | Claude Haiku 5.5 | 86.6% | estimated ± 2.6 pp, high confidence |
| 15 | DeepSeek V4.1 Flash | 86.5% | estimated ± 2.6 pp, high confidence |
| 16 | Mistral Large 4 | 86.5% | estimated ± 2.6 pp, high confidence |
| 17 | Grok 4.7 | 86.4% | estimated ± 2.6 pp, high confidence |
| 18 | Gemini 3.6 Flash | 86.2% | estimated ± 4.4 pp, high confidence |
| 19 | GPT-6 Luna | 85.1% | estimated ± 2.6 pp, high confidence |
| 20 | Gemini 3.1 Pro | 85.0% | estimated ± 4.4 pp, high confidence |
| 21 | Kimi K3 | 85.0% | measured |
| 22 | SWE-2 | 84.9% | estimated ± 3.5 pp, medium confidence |
| 23 | GPT-5.6 Sol | 84.9% | estimated ± 3.5 pp, medium confidence |
| 24 | Claude Mythos 5 | 84.9% | estimated ± 3.5 pp, high confidence |
| 25 | DeepSeek V4 Pro 0813 | 84.9% | estimated ± 3.5 pp, high confidence |
| 26 | MiMo-V2.6-Flash | 84.9% | estimated ± 3.5 pp, high confidence |
| 27 | GPT-5.6 Terra | 84.9% | estimated ± 3.5 pp, high confidence |
| 28 | Qwen3.8 Max | 84.9% | estimated ± 3.5 pp, high confidence |
| 29 | Ornith-1.5-397B | 84.9% | estimated ± 3.5 pp, high confidence |
| 30 | Gemini 3.7 Flash | 84.9% | estimated ± 3.5 pp, high confidence |
| 31 | Hy4 preview | 84.9% | estimated ± 3.5 pp, high confidence |
| 32 | GPT-5.6 Luna | 84.9% | estimated ± 3.5 pp, high confidence |
| 33 | Claude Fable 5 | 84.9% | estimated ± 3.5 pp, high confidence |
| 34 | Grok 4.5 | 84.8% | estimated ± 3.5 pp, high confidence |
| 35 | Muse Spark 1.2 | 84.8% | estimated ± 3.5 pp, high confidence |
| 36 | DeepSeek V4 Flash 0731 | 84.8% | estimated ± 3.5 pp, high confidence |
| 37 | Sakana Fugu-Ultra | 84.8% | estimated ± 3.5 pp, high confidence |
| 38 | Ember-1 | 84.8% | estimated ± 3.5 pp, high confidence |
| 39 | SWE-1.7 | 84.7% | estimated ± 3.5 pp, high confidence |
| 40 | GLM-5.2 | 84.7% | estimated ± 3.5 pp, high confidence |
| 41 | Claude Sonnet 5 | 84.6% | estimated ± 3.5 pp, high confidence |
| 42 | Sakana Fugu | 84.6% | estimated ± 3.5 pp, high confidence |
| 43 | Beam | 84.6% | estimated ± 3.5 pp, high confidence |
| 44 | Muse Spark 1.1 | 84.6% | estimated ± 3.5 pp, high confidence |
| 45 | GLM-5.3-Flash | 84.3% | measured |
| 46 | Muse Spark 1.3 | 84.3% | measured |
| 47 | Atria Dawn Preview | 84.3% | estimated ± 3.5 pp, high confidence |
| 48 | Ornith-1.0-397B | 84.1% | estimated ± 3.5 pp, high confidence |
| 49 | GLM-5.3 | 83.9% | measured |
| 50 | Claude Opus 4.7 | 83.8% | estimated ± 4.4 pp, high confidence |
| 51 | Gemini 3.5 Flash | 83.5% | estimated ± 3.5 pp, high confidence |
| 52 | Kimi K2.7 Code | 82.9% | estimated ± 4.4 pp, high confidence |
| 53 | dots3-note Preview | 82.9% | estimated ± 3.5 pp, high confidence |
| 54 | Claude Opus 4.8 | 82.5% | estimated ± 3.5 pp, high confidence |
| 55 | Qwen3.8-27B | 79.8% | measured |
| 56 | Qwen3.7 Max | 77.8% | estimated ± 4.4 pp, high confidence |
| 57 | MiMo-V2.5 | 77.5% | estimated ± 4.4 pp, high confidence |
| 58 | Seed 2.1 Pro | 77.2% | estimated ± 3.5 pp, high confidence |
| 59 | Apodex 1.1 | 76.7% | estimated ± 3.5 pp, high confidence |
| 60 | Laguna S 2.1 | 75.2% | estimated ± 3.5 pp, high confidence |
| 61 | Composer 2.5 | 74.6% | estimated ± 4.4 pp, high confidence |
| 62 | Claude Sonnet 4.6 | 73.0% | estimated ± 4.4 pp, high confidence |
| 63 | MiMo-V2.5-Pro | 73.0% | estimated ± 4.4 pp, high confidence |
| 64 | Quasar 438B | 72.8% | estimated ± 3.5 pp, high confidence |
| 65 | GLM-5.1 | 72.4% | estimated ± 4.4 pp, high confidence |
| 66 | GPT-5.4 mini | 68.7% | estimated ± 4.4 pp, high confidence |
| 67 | Ornith-1.5-35B-A3B | 68.3% | estimated ± 3.5 pp, high confidence |
| 68 | Seed 2.1 Turbo | 67.6% | estimated ± 3.5 pp, high confidence |
| 69 | Gemini 3 Flash | 67.2% | estimated ± 4.4 pp, high confidence |
| 70 | Kimi K2.6 | 66.6% | estimated ± 4.4 pp, high confidence |
| 71 | Qwen3.6 Plus | 65.8% | estimated ± 4.4 pp, high confidence |
| 72 | MiniMax M3 | 65.2% | measured |
| 73 | Qwen3.7 Plus | 64.9% | estimated ± 4.4 pp, high confidence |
| 74 | Pokee-Isaac 28B | 60.6% | estimated ± 3.5 pp, high confidence |
| 75 | Inkling-Small | 59.7% | estimated ± 3.5 pp, high confidence |
| 76 | Ornith-1.0-35B | 58.7% | estimated ± 3.5 pp, high confidence |
| 77 | MAI-Code-1.1-Flash | 56.5% | estimated ± 3.5 pp, high confidence |
| 78 | MiniMax M2.7 | 55.1% | estimated ± 4.4 pp, high confidence |
| 79 | Inkling | 55.1% | measured |
| 80 | Nemotron 3 Ultra | 53.9% | measured |
| 81 | Step 3.7 Flash | 53.4% | estimated ± 3.5 pp, high confidence |
| 82 | Ling 3.0 Flash | 52.6% | estimated ± 3.5 pp, high confidence |
| 83 | Solar Pro 4 | 52.6% | estimated ± 3.5 pp, high confidence |
| 84 | Gemini 3.5 Flash-Lite | 52.3% | estimated ± 3.5 pp, high confidence |
| 85 | Ternary Bonsai 2 27B | 52.2% | estimated ± 3.5 pp, high confidence |
| 86 | Ornith-1.5-9B | 52.1% | estimated ± 3.5 pp, medium confidence |
| 87 | K-EXAONE 2.0 | 52.1% | estimated ± 3.5 pp, medium confidence |
| 88 | Ornith-1.0-9B | 52.1% | estimated ± 3.5 pp, medium confidence |
| 89 | A.X K2 | 52.1% | estimated ± 3.5 pp, medium confidence |
| 90 | Granite 4.2 30B | 52.1% | estimated ± 3.5 pp, medium confidence |
| 91 | Granite 4.2 8B | 52.1% | estimated ± 3.5 pp, medium confidence |
| 92 | MiniCPM5-2B | 52.1% | estimated ± 3.5 pp, medium confidence |
| 93 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 52.1% | estimated ± 3.5 pp, medium confidence |
| 94 | Muse Glimmer 30B | 51.7% | measured |
| 95 | Grok 4.20 | 42.1% | estimated ± 4.4 pp, medium confidence |
| 96 | Claude Haiku 4.5 | 40.8% | estimated ± 4.4 pp, medium confidence |
| 97 | Grok 4.3 | 35.0% | estimated ± 4.4 pp, medium confidence |
| 98 | GPT-5.4 nano | 34.0% | estimated ± 4.4 pp, medium confidence |
| 99 | Mistral Medium 3.5 128B | 26.3% | estimated ± 4.4 pp, medium confidence |
| 100 | Mercury 2.5 | 14.8% | estimated ± 4.4 pp, medium confidence |
| 101 | Gemini 3.1 Flash-Lite | 14.0% | estimated ± 4.4 pp, medium confidence |
| 102 | Laguna M.1 | 14.0% | estimated ± 4.4 pp, medium confidence |
| 103 | Laguna XS.2 | 3.0% | estimated ± 4.4 pp, medium confidence |
| 104 | Command A+ | 0.3% | estimated ± 4.4 pp, medium 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-Science 0.1
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
- AA-AnalystAgent
- AA AutomationBench
- AA EnterpriseOps-Gym
- GDP.pdf
- AA Harvey LAB
- 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
- GDPval-AA
- Gert Labs
- HLE w/ tools
- JobBench
- MCP Atlas
- MCP-Tasks
- OSWorld-Verified
- OSWorld 2.0
- QwenClawBench
- ResearchClawBench
- SkillsBench
- τ²-bench results
- τ³-bench results
- Toolathlon
- Toolathlon-Verified
- VITA-Bench
- WideResearch
Coding
- AA Coding Index
- AA-SciCode
- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
- DeepSWE
- FrontierCode 1.1 Main
- FrontierCode 1.1 Extended
- FrontierSWE v2
- LiveCodeBench
- LiveCodeBench Pro
- LiveCodeBench v6
- NL2Repo
- OpenHarmony Bench
- PostTrainBench v1.1
- ProgramBench
- React Native Evals
- SciCode
- SWE-bench Pro
- SWE-bench Verified
- SWE-Rebench
- Vals LiveCodeBench
- Vals SWE-bench
- Vibe Code Bench
- VulcanBench v3
Math
- AIME 2025
- AIME26
- FrontierMath (legacy)
- 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
- ARC-AGI-2
- ARC-AGI-1
- ARC-AGI-3
- Artificial Analysis Intelligence Index
- BioMysteryBench (human-difficult)
- BioMysteryBench (human-solvable)
- C-Eval
- CritPt
- GPQA
- GPQA Diamond
- 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
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
- AA-MMMU-Pro
- BabyVision
- CharXiv
- CharXiv w/o tools
- ERQA
- MathVision
- MathVision w/ Python
- MedXpertQA (MM)
- MMMU
- MMMU-Pro
- MMMU-Pro w/ Python
- MMVU
- OfficeQA Pro
- OmniDocBench 1.5
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- Video-MME (with subtitle)
- VideoMMMU
- V*
- ZeroBench