Agentic · tools
ApprenticeBench leaderboard
As of 2026-10-07, the highest measured score on ApprenticeBench is 72.0% by Claude Fable 5.1. 94 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 | 72.0% | measured |
| 2 | GPT-6 Astra | 68.0% | measured |
| 3 | Claude Opus 5 | 36.0% | measured |
| 4 | Claude Fable 5 | 34.0% | measured |
| 5 | Qwen3.8 Max | 33.3% | estimated ± 5.2 pp, low confidence |
| 6 | MiMo-V2.6-Flash | 32.7% | estimated ± 4.0 pp, low confidence |
| 7 | MiMo-V2.6-Pro | 32.6% | estimated ± 4.0 pp, low confidence |
| 8 | DeepSeek V4.1 Flash | 31.0% | estimated ± 4.0 pp, low confidence |
| 9 | Ling 3.1 Flash | 30.9% | estimated ± 4.0 pp, low confidence |
| 10 | Fugu Cyber | 30.0% | estimated ± 4.0 pp, low confidence |
| 11 | Atria Dawn Preview | 29.5% | estimated ± 4.0 pp, low confidence |
| 12 | Qwen3.8-27B | 29.5% | estimated ± 5.2 pp, low confidence |
| 13 | Gemini 3.8 Flash Cyber | 29.1% | estimated ± 4.0 pp, low confidence |
| 14 | Gemini 3.6 Flash | 26.7% | estimated ± 5.2 pp, low confidence |
| 15 | Step 5 Preview | 26.4% | estimated ± 4.0 pp, low confidence |
| 16 | GPT-5.6 Sol | 26.0% | measured |
| 17 | GLM-5.3 | 25.9% | estimated ± 4.0 pp, medium confidence |
| 18 | Holo3-35B-A3B | 25.7% | estimated ± 5.2 pp, low confidence |
| 19 | Claude Mythos 5 | 24.2% | estimated ± 4.0 pp, medium confidence |
| 20 | Gemini 3.8 Flash | 24.0% | measured |
| 21 | dots3-note Preview | 23.1% | estimated ± 10.1 pp, low confidence |
| 22 | DeepSeek V4 Pro 0813 | 22.8% | estimated ± 4.0 pp, medium confidence |
| 23 | Gemini 3.5 Flash Cyber | 22.5% | estimated ± 4.0 pp, medium confidence |
| 24 | Claude Mythos Preview | 22.2% | estimated ± 4.0 pp, medium confidence |
| 25 | Qwen3.8 Max Preview | 20.3% | estimated ± 5.0 pp, low confidence |
| 26 | GPT-5.5 | 20.0% | measured |
| 27 | Claude Opus 4.8 | 20.0% | estimated ± 3.1 pp, low confidence |
| 28 | Qwen3.8-Flash-Next | 19.0% | estimated ± 5.6 pp, low confidence |
| 29 | Muse Spark 1.3 | 19.0% | measured |
| 30 | Kimi K3 | 18.0% | measured |
| 31 | Holo3-122B-A10B | 17.7% | estimated ± 5.2 pp, low confidence |
| 32 | Claude Sonnet 5 | 16.0% | measured |
| 33 | Gemini 3.7 Flash | 16.0% | measured |
| 34 | GPT-5.6 Terra | 16.0% | measured |
| 35 | UI-Mate-27B | 13.7% | estimated ± 5.2 pp, low confidence |
| 36 | Grok 4.6 | 13.0% | measured |
| 37 | Beam | 11.8% | estimated ± 10.1 pp, low confidence |
| 38 | GPT-5.4 | 11.0% | measured |
| 39 | GLM-5.2 | 10.0% | estimated ± 5.0 pp, low confidence |
| 40 | Claude Opus 4.6 (Adaptive) | 9.2% | estimated ± 5.0 pp, low confidence |
| 41 | Hy4 preview | 8.8% | estimated ± 4.0 pp, medium confidence |
| 42 | Gemini 3.5 Flash-Lite | 7.2% | estimated ± 5.2 pp, low confidence |
| 43 | Apodex 1.1 | 7.0% | estimated ± 5.0 pp, low confidence |
| 44 | Apodex 1.1 Mini | 7.0% | estimated ± 5.0 pp, low confidence |
| 45 | Claude Opus 4.7 | 7.0% | measured |
| 46 | GPT-5.6 Luna | 7.0% | measured |
| 47 | Qwen3.7 Max | 7.0% | estimated ± 3.1 pp, medium confidence |
| 48 | Claude Opus 4.5 | 6.9% | estimated ± 3.1 pp, medium confidence |
| 49 | DeepSeek V4 Flash 0731 | 6.2% | estimated ± 4.0 pp, medium confidence |
| 50 | Gemini 3 Pro | 5.4% | estimated ± 3.1 pp, medium confidence |
| 51 | Claude Opus 4.6 | 5.0% | measured |
| 52 | MiMo-V2.5-Pro | 4.6% | estimated ± 3.1 pp, medium confidence |
| 53 | Claude Opus 4.7 (Adaptive) | 4.0% | estimated ± 4.0 pp, medium confidence |
| 54 | GPT-5.4 mini | 3.5% | estimated ± 5.0 pp, low confidence |
| 55 | Muse Spark 1.1 | 3.4% | estimated ± 4.0 pp, low confidence |
| 56 | Muse Spark | 3.4% | estimated ± 4.0 pp, low confidence |
| 57 | Gemini 3.5 Flash | 3.3% | estimated ± 3.1 pp, medium confidence |
| 58 | Claude Sonnet 4.6 | 2.0% | measured |
| 59 | Mercury 2.5 | 1.3% | estimated ± 10.1 pp, low confidence |
| 60 | GLM-5.1 | 0.7% | estimated ± 3.1 pp, low confidence |
| 61 | Claude 4.1 Opus | 0.5% | estimated ± 5.6 pp, low confidence |
| 62 | Qwen3.5 Plus | 0.2% | estimated ± 5.6 pp, low confidence |
| 63 | Claude Haiku 4.5 | 0.1% | estimated ± 5.6 pp, low confidence |
| 64 | GPT-5 (high) | 0.0% | estimated ± 5.6 pp, low confidence |
| 65 | Claude 4 Sonnet | 0.0% | estimated ± 3.1 pp, low confidence |
| 66 | Claude Sonnet 4.5 | 0.0% | estimated ± 3.1 pp, low confidence |
| 67 | DeepSeek V3.2 | 0.0% | estimated ± 3.1 pp, low confidence |
| 68 | Gemini 2.5 Pro | 0.0% | estimated ± 3.1 pp, low confidence |
| 69 | Gemini 3.1 Flash-Lite | 0.0% | estimated ± 3.1 pp, low confidence |
| 70 | Gemini 3.1 Pro | 0.0% | estimated ± 3.1 pp, low confidence |
| 71 | Gemini 3 Flash | 0.0% | estimated ± 3.1 pp, low confidence |
| 72 | Gemma 4 31B | 0.0% | estimated ± 3.1 pp, low confidence |
| 73 | GLM-4.7 | 0.0% | estimated ± 3.1 pp, low confidence |
| 74 | GLM-5 | 0.0% | estimated ± 3.1 pp, low confidence |
| 75 | GLM-5V-Turbo | 0.0% | estimated ± 3.1 pp, low confidence |
| 76 | GPT-4.1 | 0.0% | estimated ± 3.1 pp, low confidence |
| 77 | GPT-5.1 | 0.0% | estimated ± 3.1 pp, low confidence |
| 78 | GPT-5.1-Codex | 0.0% | estimated ± 3.1 pp, low confidence |
| 79 | GPT-5.2 | 0.0% | estimated ± 3.1 pp, low confidence |
| 80 | GPT-5.2-Codex | 0.0% | estimated ± 3.1 pp, low confidence |
| 81 | GPT-5.3 Codex | 0.0% | estimated ± 3.1 pp, low confidence |
| 82 | GPT-5.4 nano | 0.0% | estimated ± 5.0 pp, low confidence |
| 83 | GPT-OSS 120B | 0.0% | estimated ± 3.1 pp, low confidence |
| 84 | GPT-OSS 20B | 0.0% | estimated ± 5.0 pp, low confidence |
| 85 | Grok 4 | 0.0% | estimated ± 3.1 pp, low confidence |
| 86 | Grok 4.1 Fast | 0.0% | estimated ± 3.1 pp, low confidence |
| 87 | Grok 4.20 | 0.0% | estimated ± 3.1 pp, low confidence |
| 88 | Grok 4.3 | 0.0% | estimated ± 3.1 pp, low confidence |
| 89 | Grok Build 0.1 | 0.0% | estimated ± 3.1 pp, low confidence |
| 90 | Hy3 Preview | 0.0% | estimated ± 3.1 pp, low confidence |
| 91 | Kimi K2.6 | 0.0% | estimated ± 3.1 pp, low confidence |
| 92 | Kimi K2.5 | 0.0% | estimated ± 3.1 pp, low confidence |
| 93 | Kimi K2.5 (Reasoning) | 0.0% | estimated ± 3.1 pp, low confidence |
| 94 | MiMo-V2.5 | 0.0% | estimated ± 3.1 pp, low confidence |
| 95 | MiMo-V2-Pro | 0.0% | estimated ± 3.1 pp, low confidence |
| 96 | MiniMax M2.7 | 0.0% | estimated ± 3.1 pp, low confidence |
| 97 | MiniMax M3 | 0.0% | estimated ± 5.2 pp, low confidence |
| 98 | Mistral Medium 3.5 128B | 0.0% | estimated ± 3.1 pp, low confidence |
| 99 | Muse Glimmer 30B | 0.0% | estimated ± 5.2 pp, low confidence |
| 100 | Nemotron 3 Super 100B | 0.0% | estimated ± 5.0 pp, low confidence |
| 101 | Qwen3.5-122B-A10B | 0.0% | estimated ± 5.2 pp, low confidence |
| 102 | Qwen3.5-27B | 0.0% | estimated ± 3.1 pp, low confidence |
| 103 | Qwen3.5-35B-A3B | 0.0% | estimated ± 3.1 pp, low confidence |
| 104 | Qwen3.5 397B | 0.0% | estimated ± 3.1 pp, low confidence |
| 105 | Qwen3.6-27B | 0.0% | estimated ± 3.1 pp, low confidence |
| 106 | Qwen3.6-35B-A3B | 0.0% | estimated ± 3.1 pp, low confidence |
| 107 | Qwen3.6 Plus | 0.0% | estimated ± 3.1 pp, low confidence |
| 108 | Qwen3.7 Plus | 0.0% | estimated ± 5.0 pp, low confidence |
| 109 | Qwen3 Max | 0.0% | estimated ± 3.1 pp, low confidence |
| 110 | Step 3.7 Flash | 0.0% | estimated ± 3.1 pp, low confidence |
| 111 | Trinity-Large-Thinking | 0.0% | estimated ± 3.1 pp, low confidence |
| 112 | UI-Mate-9B | 0.0% | estimated ± 5.2 pp, low confidence |
All leaderboards
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Instruction following
Multilingual
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