Agentic · tools
CyberGym leaderboard
As of 2026-10-07, the highest measured score on CyberGym is 95.1% by MiMo-V2.6-Flash. 151 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Qwen3.8-Flash-Next | 100.0% | estimated ± 5.4 pp, low confidence |
| 2 | MiMo-V2.6-Flash | 95.1% | measured |
| 3 | Claude Opus 5.5 | 94.9% | estimated ± 2.4 pp, low confidence |
| 4 | MiMo-V2.6-Pro | 94.0% | measured |
| 5 | Claude Fable 5 | 93.4% | estimated ± 5.0 pp, low confidence |
| 6 | Grok 4.7 | 92.1% | estimated ± 6.2 pp, low confidence |
| 7 | Claude Opus 5 | 89.1% | estimated ± 2.4 pp, low confidence |
| 8 | Gemini 4 Argon | 88.8% | estimated ± 3.7 pp, high confidence |
| 9 | Claude Sonnet 5.5 | 88.7% | estimated ± 2.4 pp, low confidence |
| 10 | DeepSeek V4.1 Flash | 88.1% | measured |
| 11 | Muse Spark 1.3 | 88.0% | estimated ± 3.7 pp, high confidence |
| 12 | Ling 3.1 Flash | 87.9% | measured |
| 13 | Fugu Cyber | 86.9% | measured |
| 14 | Atria Dawn Preview | 86.5% | measured |
| 15 | Gemini 3.8 Flash Cyber | 86.2% | measured |
| 16 | Gemini 3.8 Flash | 85.6% | estimated ± 5.0 pp, medium confidence |
| 17 | Step 5 Preview | 84.7% | measured |
| 18 | GLM-5.3 | 84.5% | measured |
| 19 | GPT-5.6 Sol | 84.5% | measured |
| 20 | Holo3-35B-A3B | 84.3% | estimated ± 11.3 pp, low confidence |
| 21 | Claude Mythos 5 | 83.8% | measured |
| 22 | Qwen3.8 Max Preview | 83.6% | estimated ± 5.3 pp, medium confidence |
| 23 | DeepSeek V4 Pro 0813 | 83.3% | measured |
| 24 | Gemini 3.5 Flash Cyber | 83.2% | measured |
| 25 | Claude Mythos Preview | 83.1% | measured |
| 26 | GPT-5.5 Pro | 82.8% | estimated ± 4.6 pp, high confidence |
| 27 | GPT-5.4 Pro | 82.4% | estimated ± 4.6 pp, high confidence |
| 28 | GPT-6.1 Sol | 82.1% | estimated ± 3.7 pp, high confidence |
| 29 | GPT-5.5 | 81.8% | measured |
| 30 | GPT-5.6 Terra | 81.8% | measured |
| 31 | Qwen3.8-27B | 81.3% | estimated ± 5.3 pp, medium confidence |
| 32 | GPT-6 Sol | 80.8% | estimated ± 3.7 pp, high confidence |
| 33 | Claude Haiku 5.5 | 80.1% | estimated ± 2.4 pp, medium confidence |
| 34 | Claude Sonnet 5 | 80.1% | estimated ± 2.4 pp, medium confidence |
| 35 | Claude Fable 5.1 | 80.0% | estimated ± 3.7 pp, high confidence |
| 36 | GPT-6 Astra | 79.9% | estimated ± 2.4 pp, medium confidence |
| 37 | Kimi K3 | 79.7% | estimated ± 3.7 pp, high confidence |
| 38 | Claude Opus 4.8 | 79.6% | estimated ± 4.6 pp, high confidence |
| 39 | Gemini 3.7 Flash | 79.6% | estimated ± 3.7 pp, high confidence |
| 40 | GPT-6 Luna | 79.5% | estimated ± 6.2 pp, medium confidence |
| 41 | Muse Spark 1.2 | 79.3% | estimated ± 5.3 pp, medium confidence |
| 42 | Qwen3.8 Max | 79.3% | estimated ± 2.4 pp, medium confidence |
| 43 | Apodex 1.1 | 79.2% | estimated ± 2.4 pp, medium confidence |
| 44 | Ornith-1.5-397B | 79.2% | estimated ± 2.4 pp, medium confidence |
| 45 | MiniMax M3 | 79.2% | estimated ± 4.6 pp, high confidence |
| 46 | Kimi K2.6 | 79.0% | estimated ± 4.6 pp, high confidence |
| 47 | GPT-5.4 | 79.0% | measured |
| 48 | GLM-5.3-Flash | 78.8% | estimated ± 2.4 pp, medium confidence |
| 49 | Holo3-122B-A10B | 78.8% | estimated ± 11.3 pp, low confidence |
| 50 | Mistral Large 4 | 78.8% | estimated ± 6.2 pp, medium confidence |
| 51 | Hy4 preview | 78.4% | measured |
| 52 | Qwen3.7 Max | 78.1% | estimated ± 2.4 pp, medium confidence |
| 53 | GPT-5.6 Luna | 77.9% | measured |
| 54 | Grok 4.5 | 77.9% | estimated ± 5.3 pp, medium confidence |
| 55 | dots3-note Preview | 77.8% | estimated ± 2.4 pp, medium confidence |
| 56 | Grok 4.6 | 77.1% | estimated ± 5.0 pp, medium confidence |
| 57 | Agents-A1 | 76.8% | estimated ± 2.4 pp, medium confidence |
| 58 | Step 3.7 Flash | 76.8% | estimated ± 2.4 pp, medium confidence |
| 59 | DeepSeek V4 Flash 0731 | 76.7% | measured |
| 60 | Nemotron 3 Ultra | 76.3% | estimated ± 2.4 pp, low confidence |
| 61 | Ornith-1.5-35B-A3B | 76.3% | estimated ± 2.4 pp, low confidence |
| 62 | Ornith-1.5-9B | 76.3% | estimated ± 2.4 pp, low confidence |
| 63 | GLM-5.2 | 75.8% | estimated ± 5.3 pp, medium confidence |
| 64 | UI-Mate-27B | 75.6% | estimated ± 11.3 pp, low confidence |
| 65 | Inkling-Small | 75.6% | estimated ± 4.6 pp, high confidence |
| 66 | Beam | 75.6% | estimated ± 4.6 pp, high confidence |
| 67 | Inkling | 75.4% | estimated ± 4.6 pp, high confidence |
| 68 | Claude Opus 4.7 (Adaptive) | 73.1% | measured |
| 69 | Claude Opus 4.7 | 72.5% | estimated ± 5.0 pp, medium confidence |
| 70 | Ling 3.0 Flash | 72.3% | estimated ± 4.6 pp, high confidence |
| 71 | Quasar 438B | 70.7% | estimated ± 5.3 pp, medium confidence |
| 72 | Agents-A1-4B | 68.8% | estimated ± 4.6 pp, medium confidence |
| 73 | Gemini 3.6 Flash | 68.7% | estimated ± 5.3 pp, medium confidence |
| 74 | GLM-5.1 | 68.7% | measured |
| 75 | GPT-5.2 | 68.1% | estimated ± 4.6 pp, medium confidence |
| 76 | Qwen3.5-122B-A10B | 66.7% | estimated ± 4.6 pp, medium confidence |
| 77 | Claude Opus 4.6 | 66.6% | measured |
| 78 | Gemini 3.5 Flash | 66.5% | estimated ± 5.3 pp, medium confidence |
| 79 | Solar Open 2 | 66.1% | estimated ± 9.9 pp, medium confidence |
| 80 | Apodex 1.1 Mini | 65.8% | estimated ± 6.2 pp, medium confidence |
| 81 | Gemini 3 Pro | 65.7% | estimated ± 10.0 pp, low confidence |
| 82 | Qwen3.5 397B | 65.5% | estimated ± 4.6 pp, medium confidence |
| 83 | Hy3 | 65.3% | estimated ± 5.3 pp, medium confidence |
| 84 | Hy3 Preview | 65.3% | estimated ± 5.3 pp, medium confidence |
| 85 | Claude Sonnet 4.6 | 65.2% | measured |
| 86 | Qwen3.5-27B | 64.8% | estimated ± 4.6 pp, medium confidence |
| 87 | Qwen3.5-35B-A3B | 64.8% | estimated ± 4.6 pp, medium confidence |
| 88 | Kimi K2.5 | 64.5% | estimated ± 4.6 pp, medium confidence |
| 89 | Kimi K2.5 (Reasoning) | 64.5% | estimated ± 4.6 pp, medium confidence |
| 90 | Ling 3.0 Flash VL | 63.7% | estimated ± 6.2 pp, medium confidence |
| 91 | MiMo-V2.5-Pro | 63.0% | estimated ± 5.3 pp, low confidence |
| 92 | Kimi K2.7 Code | 62.8% | estimated ± 5.3 pp, low confidence |
| 93 | Ling 3.0 Flash FP8 | 61.7% | estimated ± 5.3 pp, low confidence |
| 94 | Qwen3.6-27B | 61.0% | estimated ± 5.3 pp, low confidence |
| 95 | Qwen3.7 Plus | 60.7% | estimated ± 5.3 pp, low confidence |
| 96 | GPT-5.4 mini | 60.6% | estimated ± 5.3 pp, low confidence |
| 97 | GPT-5.4 nano | 59.2% | estimated ± 5.3 pp, low confidence |
| 98 | Muse Spark 1.1 | 59.0% | measured |
| 99 | Grok 4.3 | 58.8% | estimated ± 5.3 pp, low confidence |
| 100 | MiniMax M2.7 | 58.5% | estimated ± 5.3 pp, low confidence |
| 101 | LLaDA2.2-flash | 58.4% | estimated ± 9.9 pp, medium confidence |
| 102 | GLM-4.7 | 58.0% | estimated ± 4.6 pp, medium confidence |
| 103 | Gemini 3.5 Flash-Lite | 57.8% | estimated ± 5.3 pp, low confidence |
| 104 | Qwen3.6-35B-A3B | 57.1% | estimated ± 5.3 pp, low confidence |
| 105 | GPT-5.3 Codex | 56.4% | estimated ± 10.0 pp, low confidence |
| 106 | Solar Pro 4 | 55.7% | estimated ± 4.6 pp, medium confidence |
| 107 | LongCat-Flash-Lite-Sparse | 55.2% | estimated ± 4.6 pp, medium confidence |
| 108 | Gemini 3 Flash | 55.1% | estimated ± 10.0 pp, low confidence |
| 109 | Muse Glimmer 30B | 53.6% | estimated ± 5.3 pp, low confidence |
| 110 | Gemini 3.1 Pro | 53.5% | estimated ± 5.3 pp, low confidence |
| 111 | Mistral Medium 3.5 128B | 52.7% | estimated ± 5.3 pp, low confidence |
| 112 | UI-Mate-9B | 52.4% | estimated ± 11.3 pp, low confidence |
| 113 | Qwen3.6 Plus | 51.7% | estimated ± 6.2 pp, low confidence |
| 114 | Gemma 4 31B | 50.7% | estimated ± 5.3 pp, low confidence |
| 115 | Claude Opus 4.5 | 50.6% | measured |
| 116 | GPT-OSS 120B | 50.3% | estimated ± 5.3 pp, low confidence |
| 117 | A.X K2 | 49.3% | estimated ± 6.2 pp, low confidence |
| 118 | Nemotron 3 Super 100B | 48.7% | estimated ± 5.3 pp, low confidence |
| 119 | Granite 4.2 8B | 48.4% | estimated ± 5.3 pp, low confidence |
| 120 | Command A+ | 48.3% | estimated ± 5.3 pp, low confidence |
| 121 | Gemini 2.5 Pro | 48.3% | estimated ± 5.3 pp, low confidence |
| 122 | GPT-5.2-Codex | 47.9% | estimated ± 10.0 pp, low confidence |
| 123 | Claude 4.1 Opus | 47.6% | estimated ± 11.4 pp, low confidence |
| 124 | Mistral Large 3 | 47.4% | estimated ± 5.3 pp, low confidence |
| 125 | Mistral Small 4 | 46.7% | estimated ± 5.3 pp, low confidence |
| 126 | Mistral Small 4 (Reasoning) | 46.7% | estimated ± 5.3 pp, low confidence |
| 127 | GPT-OSS 20B | 46.6% | estimated ± 5.3 pp, low confidence |
| 128 | Trinity-Large-Preview | 46.4% | estimated ± 5.3 pp, low confidence |
| 129 | Trinity-Large-Thinking | 46.4% | estimated ± 5.3 pp, low confidence |
| 130 | Nemotron 3 Nano 30B | 46.3% | estimated ± 5.3 pp, low confidence |
| 131 | DeepSeek V3 | 46.2% | estimated ± 5.3 pp, low confidence |
| 132 | Celeris-1 | 46.1% | estimated ± 5.3 pp, low confidence |
| 133 | Llama 4 Maverick | 46.0% | estimated ± 5.3 pp, low confidence |
| 134 | Llama 4 Scout | 46.0% | estimated ± 5.3 pp, low confidence |
| 135 | GPT-5 (high) | 45.7% | estimated ± 6.2 pp, low confidence |
| 136 | Gemma 3 27B | 45.7% | estimated ± 5.3 pp, low confidence |
| 137 | GPT-5.1-Codex | 44.9% | estimated ± 10.0 pp, low confidence |
| 138 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 44.8% | estimated ± 4.6 pp, medium confidence |
| 139 | Grok Build 0.1 | 44.2% | estimated ± 10.0 pp, low confidence |
| 140 | Muse Spark | 43.5% | measured |
| 141 | Claude Sonnet 4.5 | 43.3% | estimated ± 10.0 pp, low confidence |
| 142 | GLM-5 | 43.2% | measured |
| 143 | Qwen3.5 Plus | 42.2% | estimated ± 11.4 pp, low confidence |
| 144 | Grok 4.1 Fast | 41.6% | estimated ± 10.0 pp, low confidence |
| 145 | MiMo-V2.5 | 41.1% | estimated ± 10.0 pp, low confidence |
| 146 | Claude Haiku 4.5 | 37.9% | estimated ± 11.4 pp, low confidence |
| 147 | GPT-5.1 | 37.8% | estimated ± 6.2 pp, low confidence |
| 148 | Qwen3 Max | 36.9% | estimated ± 10.0 pp, low confidence |
| 149 | Grok 4 | 35.1% | estimated ± 10.0 pp, low confidence |
| 150 | Claude 4 Sonnet | 31.7% | estimated ± 10.0 pp, low confidence |
| 151 | Gemini 3.1 Flash-Lite | 30.2% | estimated ± 10.0 pp, low confidence |
| 152 | Grok 4.20 | 30.1% | estimated ± 10.0 pp, low confidence |
| 153 | MiMo-V2-Pro | 28.0% | estimated ± 10.0 pp, low confidence |
| 154 | MiniCPM5-2B | 25.8% | estimated ± 6.2 pp, low confidence |
| 155 | Laguna S 2.1 | 22.5% | estimated ± 6.0 pp, low confidence |
| 156 | GLM-5V-Turbo | 21.1% | estimated ± 10.0 pp, low confidence |
| 157 | DeepSeek V3.2 | 19.8% | estimated ± 10.0 pp, low confidence |
| 158 | MiMo-V2-Flash | 17.1% | estimated ± 6.2 pp, low confidence |
| 159 | GPT-4.1 | 15.6% | estimated ± 10.0 pp, low confidence |
| 160 | Granite 4.2 30B | 10.4% | estimated ± 6.2 pp, low confidence |
| 161 | Gemma 4 26B A4B | 9.2% | estimated ± 6.2 pp, low confidence |
| 162 | Ling 3.0 Tiny | 8.7% | estimated ± 6.2 pp, low confidence |
| 163 | DeepSeek V3 0324 | 0.0% | estimated ± 6.2 pp, low confidence |
| 164 | Gemma 4 12B | 0.0% | estimated ± 6.2 pp, low confidence |
| 165 | Gemma 4 E2B | 0.0% | estimated ± 6.2 pp, low confidence |
| 166 | Gemma 4 E4B | 0.0% | estimated ± 6.2 pp, low confidence |
| 167 | GPT-4.1 mini | 0.0% | estimated ± 6.2 pp, low confidence |
| 168 | GPT-4.1 nano | 0.0% | estimated ± 6.2 pp, low confidence |
| 169 | GPT-4o | 0.0% | estimated ± 6.2 pp, low confidence |
| 170 | GPT-4o mini | 0.0% | estimated ± 6.2 pp, low confidence |
| 171 | Granite 4.2 3B | 0.0% | estimated ± 6.2 pp, low confidence |
| 172 | K-Exaone | 0.0% | estimated ± 6.2 pp, low confidence |
| 173 | LFM2.5-2.6B | 0.0% | estimated ± 6.2 pp, low confidence |
| 174 | Ling 2.6 Flash | 0.0% | estimated ± 6.2 pp, low confidence |
| 175 | Mercury 2.5 | 0.0% | estimated ± 6.2 pp, low confidence |
| 176 | Nemotron 3 Nano Omni 30B A3B | 0.0% | estimated ± 6.2 pp, low confidence |
| 177 | North Mini Code | 0.0% | estimated ± 6.2 pp, low confidence |
| 178 | Solar Pro 3 | 0.0% | estimated ± 6.2 pp, low confidence |
| 179 | Ultravox v0.6 Llama 3.3 70B | 0.0% | estimated ± 6.2 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
- AA-AnalystAgent
- AA AutomationBench
- AA EnterpriseOps-Gym
- GDP.pdf
- AA Harvey LAB
- AA ITBench
- AA Tau3 Banking
- Agents' Last Exam
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- ApprenticeBench
- AutomationBench
- BFCL v4
- BrowseComp
- Claw-Eval
- CWE-bench v1
- CyberGym
- DeepPlanning
- DeepSearchQA
- DRACO
- ExploitGym
- GDPval-AA
- Gert Labs
- HLE w/ tools
- JobBench
- MCP Atlas
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- OSWorld 2.0
- QwenClawBench
- ResearchClawBench
- SkillsBench
- 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
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- DeepSWE
- FrontierCode 1.1 Main
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- LiveCodeBench v6
- NL2Repo
- OpenHarmony Bench
- PostTrainBench v1.1
- ProgramBench
- React Native Evals
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- 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
- CharXiv w/o tools
- 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