Agentic · terminal
Terminal-Bench 2.0 leaderboard
As of 2026-10-07, the highest measured score on Terminal-Bench 2.0 is 82.0% by GPT-5.5. 43 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | GPT-6 Astra | 84.0% | estimated ± 5.9 pp, low confidence |
| 2 | GPT-5.6 Sol | 83.2% | estimated ± 5.9 pp, low confidence |
| 3 | Claude Fable 5.1 | 82.7% | estimated ± 5.9 pp, low confidence |
| 4 | Claude Opus 5 | 82.5% | estimated ± 5.9 pp, low confidence |
| 5 | GPT-5.5 | 82.0% | measured |
| 6 | Gemini 3.8 Flash | 80.6% | estimated ± 5.9 pp, low confidence |
| 7 | Kimi K3 | 80.4% | estimated ± 5.9 pp, low confidence |
| 8 | Claude Fable 5 | 80.1% | estimated ± 5.9 pp, low confidence |
| 9 | GPT-5.6 Luna | 79.2% | estimated ± 5.9 pp, low confidence |
| 10 | Grok 4.6 | 78.8% | estimated ± 5.9 pp, low confidence |
| 11 | Gemini 3.7 Flash | 78.3% | estimated ± 5.9 pp, low confidence |
| 12 | GPT-5.6 Terra | 78.3% | estimated ± 5.9 pp, low confidence |
| 13 | GPT-5.3 Codex | 77.3% | measured |
| 14 | Claude Sonnet 5 | 76.4% | estimated ± 5.9 pp, medium confidence |
| 15 | DeepSeek V4.1 Flash | 76.4% | estimated ± 5.9 pp, medium confidence |
| 16 | Gemini 3.5 Flash | 76.2% | estimated ± 5.9 pp, medium confidence |
| 17 | Gemini 3.6 Flash | 76.0% | estimated ± 5.9 pp, medium confidence |
| 18 | Grok 4.7 | 75.7% | estimated ± 5.9 pp, medium confidence |
| 19 | GPT-5.4 | 75.1% | measured |
| 20 | Muse Spark 1.3 | 75.0% | estimated ± 5.9 pp, medium confidence |
| 21 | Claude Opus 4.8 | 74.8% | estimated ± 5.9 pp, medium confidence |
| 22 | GLM-5.3 | 74.5% | estimated ± 5.9 pp, medium confidence |
| 23 | Gemini 3.1 Pro | 74.1% | estimated ± 5.9 pp, medium confidence |
| 24 | Muse Spark 1.2 | 73.3% | estimated ± 5.9 pp, medium confidence |
| 25 | Muse Spark 1.1 | 73.1% | estimated ± 5.9 pp, medium confidence |
| 26 | Claude Opus 4.7 | 72.5% | estimated ± 5.9 pp, medium confidence |
| 27 | GLM-5.2 | 72.1% | estimated ± 5.9 pp, medium confidence |
| 28 | Grok 4.5 | 72.1% | estimated ± 5.9 pp, medium confidence |
| 29 | Qwen3.8 Max | 71.8% | estimated ± 5.9 pp, medium confidence |
| 30 | Kimi K2.7 Code | 71.5% | estimated ± 5.9 pp, medium confidence |
| 31 | Qwen3.7 Plus | 70.3% | measured |
| 32 | Qwen3.7 Max | 69.7% | measured |
| 33 | Claude Opus 4.7 (Adaptive) | 69.4% | measured |
| 34 | Composer 2.5 | 69.3% | measured |
| 35 | GLM-5.3-Flash | 68.6% | estimated ± 5.9 pp, medium confidence |
| 36 | MiMo-V2.5-Pro | 68.4% | measured |
| 37 | DeepSeek V4 Pro 0813 | 67.9% | measured |
| 38 | Kimi K2.6 | 66.7% | measured |
| 39 | MiMo-V2.5 | 65.8% | measured |
| 40 | Claude Opus 4.6 | 65.4% | measured |
| 41 | Qwen 3.6 Max (preview) | 65.4% | measured |
| 42 | Qwen3.8-27B | 65.3% | estimated ± 5.9 pp, medium confidence |
| 43 | GLM-5.1 | 63.5% | measured |
| 44 | Hy4 preview | 62.8% | estimated ± 5.9 pp, medium confidence |
| 45 | Inkling-Small | 62.8% | estimated ± 5.9 pp, medium confidence |
| 46 | Gemini 3 Flash | 61.9% | estimated ± 5.9 pp, medium confidence |
| 47 | Composer 2 | 61.7% | measured |
| 48 | MiniMax M3 | 61.6% | estimated ± 5.9 pp, medium confidence |
| 49 | Qwen3.6 Plus | 61.6% | measured |
| 50 | GPT-5.4 mini | 60.0% | measured |
| 51 | Nemotron 3 Ultra | 59.5% | estimated ± 5.9 pp, medium confidence |
| 52 | Claude Opus 4.5 | 59.3% | measured |
| 53 | Qwen3.6-27B | 59.3% | measured |
| 54 | Claude Sonnet 4.6 | 59.1% | measured |
| 55 | Muse Spark | 59.0% | measured |
| 56 | Gemini 3.5 Flash-Lite | 58.9% | estimated ± 5.9 pp, medium confidence |
| 57 | Ling 3.0 Flash | 58.9% | estimated ± 5.9 pp, medium confidence |
| 58 | MiniMax M2.7 | 57.0% | measured |
| 59 | DeepSeek V4 Flash 0731 | 56.9% | measured |
| 60 | Inkling | 56.7% | estimated ± 5.9 pp, medium confidence |
| 61 | GLM-5 | 56.2% | measured |
| 62 | Hy3 Preview | 54.4% | measured |
| 63 | Claude Haiku 4.5 | 53.4% | estimated ± 5.9 pp, medium confidence |
| 64 | Qwen3.5 397B | 52.5% | measured |
| 65 | Grok 4.3 | 51.7% | estimated ± 5.9 pp, medium confidence |
| 66 | Qwen3.6-35B-A3B | 51.5% | measured |
| 67 | Kimi K2.5 | 50.8% | measured |
| 68 | Kimi K2.5 (Reasoning) | 50.8% | measured |
| 69 | Claude Sonnet 4.5 | 50.0% | measured |
| 70 | Qwen3.5-122B-A10B | 49.4% | measured |
| 71 | Mistral Medium 3.5 128B | 49.0% | estimated ± 5.9 pp, medium confidence |
| 72 | Grok 4.20 | 47.1% | measured |
| 73 | GPT-5.4 nano | 46.3% | measured |
| 74 | MAI-Thinking-1 | 46.0% | measured |
| 75 | Laguna M.1 | 45.8% | measured |
| 76 | Mercury 2.5 | 44.6% | estimated ± 5.9 pp, medium confidence |
| 77 | Gemini 3.1 Flash-Lite | 44.2% | estimated ± 5.9 pp, medium confidence |
| 78 | Qwen3.5-27B | 41.6% | measured |
| 79 | GLM-4.7 | 41.0% | measured |
| 80 | Qwen3.5-35B-A3B | 40.5% | measured |
| 81 | Laguna XS 2.1 | 37.5% | measured |
| 82 | Laguna XS.2 | 35.7% | measured |
| 83 | LongCat-Flash-Lite-Sparse | 33.7% | measured |
| 84 | Command A+ | 25.5% | estimated ± 5.9 pp, low confidence |
All leaderboards
Agentic · terminal
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