Agentic · tools
Toolathlon leaderboard
As of 2026-10-07, the highest measured score on Toolathlon is 75.6% by Muse Spark 1.1. 154 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Mercury 2.5 | 90.3% | estimated ± 6.0 pp, low confidence |
| 2 | Mistral Medium 3.5 128B | 83.3% | estimated ± 6.0 pp, low confidence |
| 3 | Muse Spark 1.1 | 75.6% | measured |
| 4 | Claude Fable 5.1 | 67.2% | estimated ± 1.7 pp, low confidence |
| 5 | GPT-6 Astra | 66.4% | estimated ± 1.7 pp, low confidence |
| 6 | Holo3-35B-A3B | 63.8% | estimated ± 7.6 pp, medium confidence |
| 7 | Claude Opus 4.8 | 59.9% | measured |
| 8 | Claude Opus 5 | 59.3% | estimated ± 1.7 pp, low confidence |
| 9 | Claude Fable 5 | 58.9% | estimated ± 1.7 pp, low confidence |
| 10 | Holo3-122B-A10B | 58.5% | estimated ± 7.6 pp, medium confidence |
| 11 | GPT-5.6 Sol | 58.0% | measured |
| 12 | Atria Dawn Preview | 57.3% | estimated ± 3.5 pp, medium confidence |
| 13 | Gemini 3.8 Flash | 56.7% | estimated ± 1.7 pp, medium confidence |
| 14 | GPT-5.5 Pro | 56.6% | estimated ± 3.5 pp, high confidence |
| 15 | Gemini 3.5 Flash | 56.5% | measured |
| 16 | GPT-5.4 Pro | 56.4% | estimated ± 3.5 pp, high confidence |
| 17 | Step 5 Preview | 56.2% | estimated ± 3.5 pp, high confidence |
| 18 | UI-Mate-27B | 56.0% | estimated ± 7.6 pp, medium confidence |
| 19 | Claude Mythos 5 | 55.9% | estimated ± 3.5 pp, high confidence |
| 20 | Claude Opus 5.5 | 55.9% | estimated ± 6.3 pp, low confidence |
| 21 | Claude Sonnet 5.5 | 55.9% | estimated ± 6.3 pp, low confidence |
| 22 | DeepSeek V4.1 Flash | 55.9% | estimated ± 6.3 pp, medium confidence |
| 23 | Gemini 4 Argon | 55.9% | estimated ± 6.3 pp, low confidence |
| 24 | GLM-5.3 | 55.9% | estimated ± 6.3 pp, low confidence |
| 25 | Grok 4.7 | 55.9% | estimated ± 6.3 pp, low confidence |
| 26 | Ling 3.1 Flash | 55.9% | estimated ± 6.3 pp, low confidence |
| 27 | MiMo-V2.6-Flash | 55.9% | estimated ± 6.3 pp, medium confidence |
| 28 | MiMo-V2.6-Pro | 55.9% | estimated ± 6.3 pp, low confidence |
| 29 | Qwen3.8-Flash-Next | 55.9% | estimated ± 6.3 pp, low confidence |
| 30 | Qwen3.8 Max Preview | 55.9% | estimated ± 6.3 pp, low confidence |
| 31 | GPT-6.1 Sol | 55.9% | estimated ± 6.3 pp, medium confidence |
| 32 | GPT-6 Luna | 55.9% | estimated ± 6.3 pp, medium confidence |
| 33 | GPT-6 Sol | 55.9% | estimated ± 6.3 pp, medium confidence |
| 34 | Mistral Large 4 | 55.9% | estimated ± 6.3 pp, medium confidence |
| 35 | Muse Spark 1.2 | 55.9% | estimated ± 6.3 pp, medium confidence |
| 36 | Qwen3.8-27B | 55.9% | estimated ± 6.3 pp, medium confidence |
| 37 | Grok 4.5 | 55.9% | estimated ± 6.3 pp, medium confidence |
| 38 | Gemini 3.6 Flash | 55.8% | estimated ± 6.3 pp, medium confidence |
| 39 | Hy3 Preview | 55.8% | estimated ± 6.3 pp, medium confidence |
| 40 | Apodex 1.1 | 55.8% | estimated ± 6.3 pp, medium confidence |
| 41 | Apodex 1.1 Mini | 55.8% | estimated ± 6.3 pp, medium confidence |
| 42 | Quasar 438B | 55.7% | estimated ± 6.3 pp, medium confidence |
| 43 | Ling 3.0 Flash VL | 55.7% | estimated ± 6.3 pp, medium confidence |
| 44 | GPT-5.5 | 55.6% | measured |
| 45 | Muse Spark 1.3 | 55.6% | estimated ± 1.7 pp, medium confidence |
| 46 | Ornith-1.5-397B | 55.4% | estimated ± 3.5 pp, high confidence |
| 47 | Kimi K3 | 55.4% | estimated ± 1.7 pp, medium confidence |
| 48 | Qwen3.7 Max | 55.4% | estimated ± 6.3 pp, medium confidence |
| 49 | Claude Mythos Preview | 54.9% | estimated ± 9.0 pp, low confidence |
| 50 | Claude Sonnet 5 | 54.9% | estimated ± 1.7 pp, medium confidence |
| 51 | Gemini 3.7 Flash | 54.9% | estimated ± 1.7 pp, medium confidence |
| 52 | GPT-5.4 | 54.6% | measured |
| 53 | Grok 4.6 | 54.3% | estimated ± 1.7 pp, medium confidence |
| 54 | MiniMax M3 | 54.0% | estimated ± 3.5 pp, high confidence |
| 55 | Grok 4.3 | 54.0% | estimated ± 6.3 pp, medium confidence |
| 56 | dots3-note Preview | 53.9% | estimated ± 3.5 pp, high confidence |
| 57 | GPT-5.6 Luna | 53.4% | measured |
| 58 | GPT-5.6 Terra | 53.1% | measured |
| 59 | Claude Opus 4.7 | 53.0% | estimated ± 1.7 pp, medium confidence |
| 60 | Hy3 | 52.8% | estimated ± 6.3 pp, medium confidence |
| 61 | Hy4 preview | 52.5% | estimated ± 5.2 pp, low confidence |
| 62 | Claude Opus 4.6 | 52.5% | estimated ± 1.7 pp, low confidence |
| 63 | MiMo-V2.5 | 52.3% | estimated ± 6.9 pp, medium confidence |
| 64 | Claude Sonnet 4.6 | 51.9% | estimated ± 1.7 pp, low confidence |
| 65 | DeepSeek V4 Pro 0813 | 51.8% | measured |
| 66 | Claude Opus 4.7 (Adaptive) | 51.7% | estimated ± 3.5 pp, high confidence |
| 67 | Inkling-Small | 50.4% | estimated ± 3.5 pp, high confidence |
| 68 | Beam | 50.4% | estimated ± 3.5 pp, high confidence |
| 69 | Claude Opus 4.6 (Adaptive) | 50.3% | estimated ± 7.0 pp, low confidence |
| 70 | Inkling | 50.2% | estimated ± 3.5 pp, high confidence |
| 71 | Gemini 3 Pro | 50.1% | estimated ± 7.2 pp, medium confidence |
| 72 | Kimi K2.7 Code | 50.1% | estimated ± 6.3 pp, medium confidence |
| 73 | Kimi K2.6 | 50.0% | measured |
| 74 | MiMo-V2-Pro | 49.7% | estimated ± 6.9 pp, medium confidence |
| 75 | Step 3.7 Flash | 49.5% | measured |
| 76 | Qwen3.8 Max | 49.4% | estimated ± 5.2 pp, low confidence |
| 77 | Agents-A1 | 48.9% | estimated ± 3.5 pp, high confidence |
| 78 | GLM-5.2 | 48.2% | measured |
| 79 | DeepSeek V4 Flash 0731 | 47.8% | measured |
| 80 | GPT-5.3 Codex | 46.6% | estimated ± 7.2 pp, medium confidence |
| 81 | MiniMax M2.7 | 46.3% | measured |
| 82 | Gemini 3 Flash | 46.1% | estimated ± 7.2 pp, medium confidence |
| 83 | Ling 3.0 Flash | 46.0% | estimated ± 3.5 pp, high confidence |
| 84 | MiMo-V2.5-Pro | 45.6% | estimated ± 6.0 pp, low confidence |
| 85 | UI-Mate-9B | 43.8% | estimated ± 7.6 pp, medium confidence |
| 86 | Claude Opus 4.5 | 43.5% | measured |
| 87 | Muse Spark | 43.3% | estimated ± 6.3 pp, medium confidence |
| 88 | GPT-5.2-Codex | 43.0% | estimated ± 7.2 pp, medium confidence |
| 89 | GPT-5.4 mini | 42.9% | measured |
| 90 | GPT-5.1-Codex | 41.6% | estimated ± 7.2 pp, medium confidence |
| 91 | GLM-5.1 | 41.4% | estimated ± 3.5 pp, high confidence |
| 92 | Grok Build 0.1 | 41.2% | estimated ± 7.2 pp, medium confidence |
| 93 | Ornith-1.5-35B-A3B | 40.9% | estimated ± 3.5 pp, high confidence |
| 94 | Claude Sonnet 4.5 | 40.8% | estimated ± 7.2 pp, medium confidence |
| 95 | Qwen3.6-27B | 40.4% | estimated ± 6.3 pp, medium confidence |
| 96 | Solar Open 2 | 40.3% | estimated ± 7.5 pp, medium confidence |
| 97 | Grok 4.1 Fast | 40.0% | estimated ± 7.2 pp, medium confidence |
| 98 | Gemini 3.5 Flash-Lite | 40.0% | estimated ± 6.3 pp, medium confidence |
| 99 | Agents-A1-4B | 39.9% | estimated ± 3.5 pp, high confidence |
| 100 | Qwen3.6 Plus | 39.8% | measured |
| 101 | GPT-5.2 | 38.6% | estimated ± 3.5 pp, high confidence |
| 102 | GLM-5 | 38.0% | measured |
| 103 | Qwen3 Max | 37.5% | estimated ± 7.2 pp, medium confidence |
| 104 | LLaDA2.2-flash | 37.2% | estimated ± 7.5 pp, medium confidence |
| 105 | Grok 4 | 36.6% | estimated ± 7.2 pp, medium confidence |
| 106 | Qwen3.5 397B | 36.3% | measured |
| 107 | Qwen3.5-122B-A10B | 35.9% | estimated ± 3.5 pp, high confidence |
| 108 | A.X K2 | 35.6% | estimated ± 6.3 pp, medium confidence |
| 109 | GPT-5.4 nano | 35.5% | measured |
| 110 | Claude 4 Sonnet | 34.7% | estimated ± 7.2 pp, low confidence |
| 111 | Gemini 3.1 Flash-Lite | 33.8% | estimated ± 7.2 pp, low confidence |
| 112 | Grok 4.20 | 33.7% | estimated ± 7.2 pp, low confidence |
| 113 | Claude 4.1 Opus | 33.1% | estimated ± 7.4 pp, low confidence |
| 114 | Ling 3.0 Flash FP8 | 33.1% | estimated ± 6.3 pp, medium confidence |
| 115 | Pokee-Isaac 28B | 31.8% | estimated ± 6.0 pp, low confidence |
| 116 | Qwen3.5-27B | 31.8% | estimated ± 3.5 pp, high confidence |
| 117 | Qwen3.5-35B-A3B | 31.8% | estimated ± 3.5 pp, high confidence |
| 118 | Kimi K2.5 (Reasoning) | 31.2% | estimated ± 3.5 pp, high confidence |
| 119 | Qwen3.5 Plus | 30.9% | estimated ± 7.4 pp, low confidence |
| 120 | GPT-5 (high) | 30.0% | estimated ± 6.3 pp, medium confidence |
| 121 | Claude Haiku 4.5 | 29.7% | estimated ± 7.4 pp, low confidence |
| 122 | GLM-5V-Turbo | 28.0% | estimated ± 7.2 pp, low confidence |
| 123 | Kimi K2.5 | 27.8% | measured |
| 124 | GPT-5.1 | 27.2% | estimated ± 6.3 pp, low confidence |
| 125 | DeepSeek V3.2 | 27.0% | estimated ± 7.2 pp, low confidence |
| 126 | Gemini 3.1 Pro | 27.0% | estimated ± 6.3 pp, low confidence |
| 127 | Muse Glimmer 30B | 27.0% | estimated ± 6.3 pp, low confidence |
| 128 | Qwen3.7 Plus | 27.0% | estimated ± 6.3 pp, low confidence |
| 129 | MiniCPM5-2B | 26.9% | estimated ± 6.3 pp, low confidence |
| 130 | MiMo-V2-Flash | 26.9% | estimated ± 6.3 pp, low confidence |
| 131 | Gemma 4 31B | 26.9% | estimated ± 6.3 pp, low confidence |
| 132 | GPT-OSS 120B | 26.9% | estimated ± 6.3 pp, low confidence |
| 133 | Gemma 4 26B A4B | 26.9% | estimated ± 6.3 pp, low confidence |
| 134 | Ling 3.0 Tiny | 26.9% | estimated ± 6.3 pp, low confidence |
| 135 | Celeris-1 | 26.9% | estimated ± 6.3 pp, low confidence |
| 136 | Command A+ | 26.9% | estimated ± 6.3 pp, low confidence |
| 137 | DeepSeek V3 | 26.9% | estimated ± 6.3 pp, low confidence |
| 138 | DeepSeek V3 0324 | 26.9% | estimated ± 6.3 pp, low confidence |
| 139 | Gemini 2.5 Pro | 26.9% | estimated ± 6.3 pp, low confidence |
| 140 | Gemma 3 27B | 26.9% | estimated ± 6.3 pp, low confidence |
| 141 | Gemma 4 12B | 26.9% | estimated ± 6.3 pp, low confidence |
| 142 | Gemma 4 E2B | 26.9% | estimated ± 6.3 pp, low confidence |
| 143 | Gemma 4 E4B | 26.9% | estimated ± 6.3 pp, low confidence |
| 144 | GPT-4.1 mini | 26.9% | estimated ± 6.3 pp, low confidence |
| 145 | GPT-4.1 nano | 26.9% | estimated ± 6.3 pp, low confidence |
| 146 | GPT-4o | 26.9% | estimated ± 6.3 pp, low confidence |
| 147 | GPT-4o mini | 26.9% | estimated ± 6.3 pp, low confidence |
| 148 | GPT-OSS 20B | 26.9% | estimated ± 6.3 pp, low confidence |
| 149 | K-Exaone | 26.9% | estimated ± 6.3 pp, low confidence |
| 150 | Ling 2.6 Flash | 26.9% | estimated ± 6.3 pp, low confidence |
| 151 | Llama 4 Maverick | 26.9% | estimated ± 6.3 pp, low confidence |
| 152 | Llama 4 Scout | 26.9% | estimated ± 6.3 pp, low confidence |
| 153 | Mistral Large 3 | 26.9% | estimated ± 6.3 pp, low confidence |
| 154 | Mistral Small 4 | 26.9% | estimated ± 6.3 pp, low confidence |
| 155 | Mistral Small 4 (Reasoning) | 26.9% | estimated ± 6.3 pp, low confidence |
| 156 | Nemotron 3 Nano 30B | 26.9% | estimated ± 6.3 pp, low confidence |
| 157 | Nemotron 3 Nano Omni 30B A3B | 26.9% | estimated ± 6.3 pp, low confidence |
| 158 | Nemotron 3 Super 100B | 26.9% | estimated ± 6.3 pp, low confidence |
| 159 | North Mini Code | 26.9% | estimated ± 6.3 pp, low confidence |
| 160 | Solar Pro 3 | 26.9% | estimated ± 6.3 pp, low confidence |
| 161 | Trinity-Large-Preview | 26.9% | estimated ± 6.3 pp, low confidence |
| 162 | Trinity-Large-Thinking | 26.9% | estimated ± 6.3 pp, low confidence |
| 163 | Ultravox v0.6 Llama 3.3 70B | 26.9% | estimated ± 6.3 pp, low confidence |
| 164 | Qwen3.6-35B-A3B | 26.9% | measured |
| 165 | Ornith-1.5-9B | 24.6% | estimated ± 3.5 pp, medium confidence |
| 166 | Granite 4.2 30B | 24.5% | estimated ± 6.0 pp, low confidence |
| 167 | GPT-4.1 | 23.9% | estimated ± 7.2 pp, low confidence |
| 168 | Granite 4.2 8B | 18.8% | estimated ± 6.0 pp, low confidence |
| 169 | GLM-4.7 | 17.9% | estimated ± 3.5 pp, medium confidence |
| 170 | Grok 4.1 | 17.3% | estimated ± 6.9 pp, low confidence |
| 171 | Solar Pro 4 | 13.9% | estimated ± 3.5 pp, medium confidence |
| 172 | LongCat-Flash-Lite-Sparse | 13.2% | estimated ± 3.5 pp, medium confidence |
| 173 | Nemotron 3 Ultra | 8.4% | estimated ± 3.5 pp, medium confidence |
| 174 | Granite 4.2 3B | 8.3% | estimated ± 6.0 pp, low confidence |
| 175 | LFM2.5-2.6B | 4.5% | estimated ± 6.0 pp, low confidence |
| 176 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 3.0% | estimated ± 3.5 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
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- 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
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- QwenClawBench
- ResearchClawBench
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- τ²-bench results
- τ³-bench results
- Toolathlon
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- 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
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- 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
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- 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