Agentic · terminal
AA Terminal-Bench 4.0 leaderboard
As of 2026-10-07, the highest measured score on AA Terminal-Bench 4.0 is 63.6% by Claude Sonnet 5.5. 84 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Sonnet 5.5 | 63.6% | measured |
| 2 | Claude Opus 5.5 | 59.6% | measured |
| 3 | GPT-6 Astra | 59.1% | measured |
| 4 | Gemini 4 Argon | 57.1% | measured |
| 5 | Claude Mythos 5.1 | 56.5% | estimated ± 4.7 pp, high confidence |
| 6 | GPT-6.1 Sol | 56.1% | measured |
| 7 | Claude Fable 5.1 | 52.0% | measured |
| 8 | Pareto 26.9 | 47.1% | estimated ± 4.7 pp, high confidence |
| 9 | Pareto 26.10 Preview | 47.0% | estimated ± 4.7 pp, high confidence |
| 10 | GPT-6 Sol | 43.9% | measured |
| 11 | GLM-5.3 | 41.9% | measured |
| 12 | Claude Opus 5 | 41.5% | estimated ± 14.0 pp, low confidence |
| 13 | Ling 3.1 Flash | 37.1% | estimated ± 4.7 pp, high confidence |
| 14 | MiMo-V2.6-Pro | 34.8% | measured |
| 15 | Grok 4.6 | 34.4% | estimated ± 14.0 pp, low confidence |
| 16 | GPT-5.6 Sol | 33.8% | estimated ± 8.9 pp, low confidence |
| 17 | Muse Spark 1.3 | 33.3% | measured |
| 18 | Step 5 Preview | 33.3% | measured |
| 19 | Claude Haiku 5.5 | 32.8% | measured |
| 20 | GLM-5.3-Flash | 32.8% | measured |
| 21 | GPT-5.5 | 32.2% | estimated ± 14.0 pp, low confidence |
| 22 | Gemini 3.6 Flash | 29.3% | estimated ± 14.0 pp, low confidence |
| 23 | Claude Mythos 5 | 28.6% | estimated ± 8.9 pp, medium confidence |
| 24 | DeepSeek V4 Pro 0813 | 28.5% | estimated ± 8.9 pp, medium confidence |
| 25 | GPT-5.6 Terra | 27.8% | estimated ± 8.9 pp, medium confidence |
| 26 | DeepSeek V4.1 Flash | 26.8% | measured |
| 27 | Mistral Large 4 | 26.8% | measured |
| 28 | Qwen3.8 Max | 26.8% | estimated ± 8.9 pp, medium confidence |
| 29 | MiMo-V2.6-Flash | 26.2% | estimated ± 4.7 pp, high confidence |
| 30 | Ornith-1.5-397B | 26.1% | estimated ± 8.9 pp, medium confidence |
| 31 | Gemini 3.1 Pro | 25.9% | estimated ± 14.0 pp, low confidence |
| 32 | Grok 4.7 | 25.8% | measured |
| 33 | Gemini 3.7 Flash | 25.7% | estimated ± 8.9 pp, medium confidence |
| 34 | Hy4 preview | 25.2% | estimated ± 8.9 pp, medium confidence |
| 35 | SWE-2 | 24.8% | estimated ± 4.7 pp, high confidence |
| 36 | GPT-5.6 Luna | 24.3% | estimated ± 8.9 pp, medium confidence |
| 37 | Claude Fable 5 | 23.8% | estimated ± 8.9 pp, medium confidence |
| 38 | Claude Opus 4.7 | 23.3% | estimated ± 14.0 pp, low confidence |
| 39 | Grok 4.5 | 22.6% | estimated ± 8.9 pp, medium confidence |
| 40 | Muse Spark 1.2 | 22.1% | estimated ± 8.9 pp, medium confidence |
| 41 | DeepSeek V4 Flash 0731 | 21.8% | estimated ± 8.9 pp, medium confidence |
| 42 | Kimi K2.7 Code | 21.6% | estimated ± 14.0 pp, low confidence |
| 43 | Sakana Fugu-Ultra | 21.1% | estimated ± 8.9 pp, medium confidence |
| 44 | Ember-1 | 21.0% | estimated ± 8.9 pp, medium confidence |
| 45 | SWE-1.7 | 20.4% | estimated ± 8.9 pp, medium confidence |
| 46 | GLM-5.2 | 19.8% | estimated ± 8.9 pp, medium confidence |
| 47 | Gemini 3.8 Flash | 19.7% | measured |
| 48 | Claude Sonnet 5 | 19.0% | estimated ± 8.9 pp, medium confidence |
| 49 | Sakana Fugu | 18.8% | estimated ± 8.9 pp, medium confidence |
| 50 | Beam | 18.7% | estimated ± 8.9 pp, medium confidence |
| 51 | Muse Spark 1.1 | 18.5% | estimated ± 8.9 pp, medium confidence |
| 52 | Atria Dawn Preview | 16.5% | estimated ± 8.9 pp, medium confidence |
| 53 | Ornith-1.0-397B | 15.6% | estimated ± 8.9 pp, medium confidence |
| 54 | Qwen3.7 Max | 14.8% | estimated ± 14.0 pp, low confidence |
| 55 | MiMo-V2.5 | 14.5% | estimated ± 14.0 pp, low confidence |
| 56 | Gemini 3.5 Flash | 14.1% | estimated ± 8.9 pp, medium confidence |
| 57 | dots3-note Preview | 12.8% | estimated ± 8.9 pp, medium confidence |
| 58 | GPT-6 Luna | 12.6% | measured |
| 59 | Kimi K3 | 12.6% | measured |
| 60 | Claude Opus 4.8 | 12.2% | estimated ± 8.9 pp, medium confidence |
| 61 | Composer 2.5 | 11.9% | estimated ± 14.0 pp, low confidence |
| 62 | Claude Sonnet 4.6 | 10.6% | estimated ± 14.0 pp, low confidence |
| 63 | MiMo-V2.5-Pro | 10.6% | estimated ± 14.0 pp, low confidence |
| 64 | GLM-5.1 | 10.2% | estimated ± 14.0 pp, low confidence |
| 65 | Seed 2.1 Pro | 8.2% | estimated ± 8.9 pp, medium confidence |
| 66 | Apodex 1.1 | 8.0% | estimated ± 8.9 pp, medium confidence |
| 67 | GPT-5.4 mini | 7.7% | estimated ± 14.0 pp, low confidence |
| 68 | Laguna S 2.1 | 7.4% | estimated ± 8.9 pp, medium confidence |
| 69 | Gemini 3 Flash | 6.8% | estimated ± 14.0 pp, low confidence |
| 70 | Kimi K2.6 | 6.5% | estimated ± 14.0 pp, low confidence |
| 71 | Quasar 438B | 6.4% | estimated ± 8.9 pp, medium confidence |
| 72 | Qwen3.6 Plus | 6.0% | estimated ± 14.0 pp, low confidence |
| 73 | Qwen3.8-27B | 5.6% | measured |
| 74 | Qwen3.7 Plus | 5.6% | estimated ± 14.0 pp, low confidence |
| 75 | Ornith-1.5-35B-A3B | 4.8% | estimated ± 8.9 pp, medium confidence |
| 76 | Seed 2.1 Turbo | 4.6% | estimated ± 8.9 pp, medium confidence |
| 77 | MiniMax M3 | 2.0% | measured |
| 78 | Pokee-Isaac 28B | 2.0% | estimated ± 8.9 pp, medium confidence |
| 79 | Inkling-Small | 1.6% | estimated ± 8.9 pp, medium confidence |
| 80 | Ornith-1.0-35B | 1.1% | estimated ± 8.9 pp, medium confidence |
| 81 | Inkling | 1.0% | measured |
| 82 | MiniMax M2.7 | 0.9% | estimated ± 14.0 pp, low confidence |
| 83 | Muse Glimmer 30B | 0.5% | measured |
| 84 | Nemotron 3 Ultra | 0.5% | measured |
| 85 | A.X K2 | 0.0% | estimated ± 8.9 pp, low confidence |
| 86 | Claude Haiku 4.5 | 0.0% | estimated ± 14.0 pp, low confidence |
| 87 | Command A+ | 0.0% | estimated ± 14.0 pp, low confidence |
| 88 | Gemini 3.1 Flash-Lite | 0.0% | estimated ± 14.0 pp, low confidence |
| 89 | Gemini 3.5 Flash-Lite | 0.0% | estimated ± 8.9 pp, medium confidence |
| 90 | GPT-5.4 nano | 0.0% | estimated ± 14.0 pp, low confidence |
| 91 | Granite 4.2 30B | 0.0% | estimated ± 8.9 pp, low confidence |
| 92 | Granite 4.2 8B | 0.0% | estimated ± 8.9 pp, low confidence |
| 93 | Grok 4.20 | 0.0% | estimated ± 14.0 pp, low confidence |
| 94 | Grok 4.3 | 0.0% | estimated ± 14.0 pp, low confidence |
| 95 | K-EXAONE 2.0 | 0.0% | estimated ± 8.9 pp, low confidence |
| 96 | Laguna M.1 | 0.0% | estimated ± 14.0 pp, low confidence |
| 97 | Laguna XS.2 | 0.0% | estimated ± 14.0 pp, low confidence |
| 98 | Ling 3.0 Flash | 0.0% | estimated ± 8.9 pp, medium confidence |
| 99 | MAI-Code-1.1-Flash | 0.0% | estimated ± 8.9 pp, medium confidence |
| 100 | Mercury 2.5 | 0.0% | estimated ± 14.0 pp, low confidence |
| 101 | MiniCPM5-2B | 0.0% | estimated ± 8.9 pp, low confidence |
| 102 | Mistral Medium 3.5 128B | 0.0% | estimated ± 14.0 pp, low confidence |
| 103 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 0.0% | estimated ± 8.9 pp, low confidence |
| 104 | Ornith-1.0-9B | 0.0% | estimated ± 8.9 pp, low confidence |
| 105 | Ornith-1.5-9B | 0.0% | estimated ± 8.9 pp, low confidence |
| 106 | Solar Pro 4 | 0.0% | estimated ± 8.9 pp, medium confidence |
| 107 | Step 3.7 Flash | 0.0% | estimated ± 8.9 pp, medium confidence |
| 108 | Ternary Bonsai 2 27B | 0.0% | estimated ± 8.9 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
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Math
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Knowledge & reasoning
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Instruction following
Multilingual
Vision & documents
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