Agentic · terminal
Terminal-Bench 2.1 leaderboard
As of 2026-10-07, the highest measured score on Terminal-Bench 2.1 is 92.8% by SWE-2. 40 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | SWE-2 | 92.8% | measured |
| 2 | GPT-5.6 Sol | 91.9% | measured |
| 3 | Claude Opus 5 | 91.8% | estimated ± 6.6 pp, low confidence |
| 4 | DeepSeek V4.1 Flash | 90.6% | measured |
| 5 | MiMo-V2.6-Pro | 89.9% | measured |
| 6 | Claude Sonnet 5.5 | 89.9% | estimated ± 3.9 pp, medium confidence |
| 7 | Claude Opus 5.5 | 89.8% | estimated ± 3.9 pp, medium confidence |
| 8 | GPT-6 Astra | 89.7% | estimated ± 3.9 pp, medium confidence |
| 9 | Gemini 4 Argon | 89.7% | estimated ± 3.9 pp, medium confidence |
| 10 | GPT-6.1 Sol | 89.6% | estimated ± 3.9 pp, medium confidence |
| 11 | Claude Fable 5.1 | 89.5% | estimated ± 3.9 pp, medium confidence |
| 12 | Gemini 3.8 Flash | 89.4% | measured |
| 13 | GPT-6 Sol | 89.1% | estimated ± 3.9 pp, medium confidence |
| 14 | Muse Spark 1.3 | 88.8% | measured |
| 15 | Claude Haiku 5.5 | 88.4% | estimated ± 3.9 pp, high confidence |
| 16 | Kimi K3 | 88.3% | measured |
| 17 | GLM-5.3 | 88.2% | measured |
| 18 | Claude Mythos 5 | 88.0% | measured |
| 19 | DeepSeek V4 Pro 0813 | 87.9% | measured |
| 20 | Mistral Large 4 | 87.7% | estimated ± 3.9 pp, high confidence |
| 21 | MiMo-V2.6-Flash | 87.6% | measured |
| 22 | Grok 4.7 | 87.6% | estimated ± 3.9 pp, high confidence |
| 23 | GPT-5.6 Terra | 87.4% | measured |
| 24 | Qwen3.8 Max | 86.6% | measured |
| 25 | Ornith-1.5-397B | 86.1% | measured |
| 26 | GPT-5.5 | 85.8% | estimated ± 6.9 pp, medium confidence |
| 27 | Gemini 3.7 Flash | 85.8% | measured |
| 28 | Grok 4.6 | 85.8% | estimated ± 6.6 pp, low confidence |
| 29 | Hy4 preview | 85.4% | measured |
| 30 | Gemini 3.6 Flash | 85.2% | estimated ± 6.9 pp, medium confidence |
| 31 | Step 5 Preview | 85.0% | measured |
| 32 | GPT-5.6 Luna | 84.7% | measured |
| 33 | Claude Fable 5 | 84.3% | measured |
| 34 | GLM-5.3-Flash | 84.3% | measured |
| 35 | Gemini 3.1 Pro | 84.2% | estimated ± 6.9 pp, medium confidence |
| 36 | GPT-6 Luna | 84.0% | estimated ± 3.9 pp, high confidence |
| 37 | Claude Opus 4.7 | 83.3% | estimated ± 6.9 pp, medium confidence |
| 38 | Grok 4.5 | 83.3% | measured |
| 39 | Muse Spark 1.2 | 82.9% | measured |
| 40 | DeepSeek V4 Flash 0731 | 82.7% | measured |
| 41 | Kimi K2.7 Code | 82.6% | estimated ± 6.9 pp, medium confidence |
| 42 | Sakana Fugu-Ultra | 82.1% | measured |
| 43 | Ember-1 | 82.0% | measured |
| 44 | SWE-1.7 | 81.5% | measured |
| 45 | GLM-5.2 | 81.0% | measured |
| 46 | Claude Sonnet 5 | 80.4% | measured |
| 47 | Sakana Fugu | 80.2% | measured |
| 48 | Beam | 80.1% | measured |
| 49 | Muse Spark 1.1 | 80.0% | measured |
| 50 | Qwen3.7 Max | 78.5% | estimated ± 6.9 pp, medium confidence |
| 51 | Atria Dawn Preview | 78.3% | measured |
| 52 | MiMo-V2.5 | 78.3% | estimated ± 6.9 pp, medium confidence |
| 53 | Ornith-1.0-397B | 77.5% | measured |
| 54 | Gemini 3.5 Flash | 76.2% | measured |
| 55 | Composer 2.5 | 75.9% | estimated ± 6.9 pp, medium confidence |
| 56 | dots3-note Preview | 75.1% | measured |
| 57 | Claude Sonnet 4.6 | 74.6% | estimated ± 6.9 pp, medium confidence |
| 58 | MiMo-V2.5-Pro | 74.6% | estimated ± 6.9 pp, medium confidence |
| 59 | Claude Opus 4.8 | 74.6% | measured |
| 60 | GLM-5.1 | 74.1% | estimated ± 6.9 pp, medium confidence |
| 61 | Qwen3.8-27B | 73.0% | measured |
| 62 | GPT-5.4 mini | 71.0% | estimated ± 6.9 pp, medium confidence |
| 63 | Seed 2.1 Pro | 71.0% | measured |
| 64 | Apodex 1.1 | 70.8% | measured |
| 65 | Laguna S 2.1 | 70.2% | measured |
| 66 | Gemini 3 Flash | 69.7% | estimated ± 6.9 pp, medium confidence |
| 67 | Quasar 438B | 69.3% | measured |
| 68 | Kimi K2.6 | 69.2% | estimated ± 6.9 pp, medium confidence |
| 69 | Qwen3.6 Plus | 68.5% | estimated ± 6.9 pp, medium confidence |
| 70 | Qwen3.7 Plus | 67.8% | estimated ± 6.9 pp, medium confidence |
| 71 | Ornith-1.5-35B-A3B | 67.8% | measured |
| 72 | Seed 2.1 Turbo | 67.6% | measured |
| 73 | MiniMax M3 | 66.0% | measured |
| 74 | Pokee-Isaac 28B | 65.1% | measured |
| 75 | Inkling-Small | 64.7% | measured |
| 76 | Ornith-1.0-35B | 64.2% | measured |
| 77 | Inkling | 63.8% | measured |
| 78 | MAI-Code-1.1-Flash | 62.9% | measured |
| 79 | Step 3.7 Flash | 59.5% | measured |
| 80 | MiniMax M2.7 | 59.1% | estimated ± 6.9 pp, medium confidence |
| 81 | Ling 3.0 Flash | 57.0% | measured |
| 82 | Solar Pro 4 | 57.0% | measured |
| 83 | Nemotron 3 Ultra | 56.4% | measured |
| 84 | Gemini 3.5 Flash-Lite | 54.0% | measured |
| 85 | Ternary Bonsai 2 27B | 52.8% | measured |
| 86 | Muse Glimmer 30B | 51.7% | measured |
| 87 | Grok 4.20 | 46.8% | estimated ± 6.9 pp, low confidence |
| 88 | Ornith-1.5-9B | 46.2% | measured |
| 89 | Claude Haiku 4.5 | 45.6% | estimated ± 6.9 pp, low confidence |
| 90 | K-EXAONE 2.0 | 43.8% | measured |
| 91 | Ornith-1.0-9B | 43.1% | measured |
| 92 | Grok 4.3 | 39.7% | estimated ± 6.9 pp, low confidence |
| 93 | GPT-5.4 nano | 38.8% | estimated ± 6.9 pp, low confidence |
| 94 | A.X K2 | 36.0% | measured |
| 95 | Mistral Medium 3.5 128B | 30.6% | estimated ± 6.9 pp, low confidence |
| 96 | Granite 4.2 30B | 29.2% | measured |
| 97 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 23.5% | measured |
| 98 | Granite 4.2 8B | 20.6% | measured |
| 99 | Mercury 2.5 | 17.9% | estimated ± 6.9 pp, low confidence |
| 100 | Gemini 3.1 Flash-Lite | 16.9% | estimated ± 6.9 pp, low confidence |
| 101 | Laguna M.1 | 16.9% | estimated ± 6.9 pp, low confidence |
| 102 | MiniCPM5-2B | 8.6% | measured |
| 103 | Laguna XS.2 | 3.8% | estimated ± 6.9 pp, low confidence |
| 104 | Command A+ | 0.4% | estimated ± 6.9 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-Science 0.1
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
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- GDP.pdf
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Coding
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Math
- AIME 2025
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- FrontierMath v2 (Tier 4)
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- HMMT Feb 2025
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- HMMT Nov 2025
- IMOAnswerBench
- MATH-500
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Knowledge & reasoning
- AA-GPQA Diamond
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- Artificial Analysis Intelligence Index
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- C-Eval
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- HLE
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- Vals GPQA Diamond
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Instruction following
Multilingual
Vision & documents
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- MMVU
- OfficeQA Pro
- OmniDocBench 1.5
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- Video-MME (with subtitle)
- VideoMMMU
- V*
- ZeroBench