Agentic · tools
AA-AnalystAgent leaderboard
As of 2026-10-07, the highest measured score on AA-AnalystAgent is 60.0% by Gemini 3.7 Flash. 131 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Gemini 3.7 Flash | 60.0% | measured |
| 2 | Claude Fable 5.1 | 57.5% | measured |
| 3 | Claude Sonnet 5.5 | 57.5% | measured |
| 4 | Claude Opus 5.5 | 56.3% | measured |
| 5 | DeepSeek V4.1 Flash | 55.6% | estimated ± 2.5 pp, medium confidence |
| 6 | GLM-5.3 | 55.1% | estimated ± 2.5 pp, medium confidence |
| 7 | Gemini 4 Argon | 54.4% | estimated ± 5.5 pp, medium confidence |
| 8 | Muse Spark 1.3 | 54.4% | estimated ± 5.5 pp, medium confidence |
| 9 | GPT-6 Sol | 54.4% | estimated ± 5.5 pp, medium confidence |
| 10 | Gemini 3.8 Flash | 54.4% | estimated ± 5.5 pp, medium confidence |
| 11 | GPT-5.6 Terra | 54.4% | estimated ± 5.5 pp, medium confidence |
| 12 | GPT-5.6 Luna | 54.4% | estimated ± 5.5 pp, medium confidence |
| 13 | Claude Opus 4.8 | 54.1% | estimated ± 5.5 pp, medium confidence |
| 14 | Qwen3.8-Flash-Next | 53.9% | estimated ± 5.5 pp, medium confidence |
| 15 | DeepSeek V4 Pro 0813 | 53.9% | estimated ± 2.5 pp, medium confidence |
| 16 | Claude Opus 5 | 53.8% | measured |
| 17 | Claude Opus 4.7 (Adaptive) | 53.7% | estimated ± 5.5 pp, medium confidence |
| 18 | GLM-5.2 | 52.7% | estimated ± 8.5 pp, low confidence |
| 19 | Muse Spark 1.1 | 51.7% | estimated ± 5.5 pp, medium confidence |
| 20 | Claude Haiku 5.5 | 51.5% | estimated ± 2.5 pp, medium confidence |
| 21 | Claude Sonnet 5 | 51.5% | estimated ± 2.5 pp, medium confidence |
| 22 | Claude Opus 4.7 | 51.4% | estimated ± 5.5 pp, medium confidence |
| 23 | GPT-6 Astra | 51.2% | measured |
| 24 | Qwen3.8 Max Preview | 50.6% | estimated ± 12.0 pp, low confidence |
| 25 | GPT-6 Luna | 50.1% | estimated ± 6.5 pp, medium confidence |
| 26 | GPT-5.5 | 50.0% | measured |
| 27 | GPT-6.1 Sol | 50.0% | measured |
| 28 | Qwen3.8 Max | 49.8% | estimated ± 2.5 pp, medium confidence |
| 29 | Apodex 1.1 | 49.6% | estimated ± 2.5 pp, medium confidence |
| 30 | Ornith-1.5-397B | 49.6% | estimated ± 2.5 pp, medium confidence |
| 31 | Claude Fable 5 | 48.8% | measured |
| 32 | Hy4 preview | 48.4% | estimated ± 2.5 pp, medium confidence |
| 33 | GLM-5.3-Flash | 48.2% | estimated ± 2.5 pp, medium confidence |
| 34 | Ling 3.1 Flash | 47.6% | estimated ± 12.0 pp, low confidence |
| 35 | GPT-5.6 Sol | 47.5% | measured |
| 36 | Atria Dawn Preview | 47.4% | estimated ± 12.5 pp, low confidence |
| 37 | Grok 4.7 | 46.7% | estimated ± 6.5 pp, medium confidence |
| 38 | MiMo-V2.6-Pro | 45.3% | estimated ± 6.5 pp, medium confidence |
| 39 | Gemini 3.5 Flash | 45.2% | estimated ± 3.6 pp, medium confidence |
| 40 | Qwen3.7 Max | 44.3% | estimated ± 2.5 pp, medium confidence |
| 41 | Mistral Large 4 | 44.0% | estimated ± 6.5 pp, medium confidence |
| 42 | GPT-5.5 Pro | 43.2% | estimated ± 12.5 pp, low confidence |
| 43 | MiMo-V2.6-Flash | 42.5% | estimated ± 6.7 pp, low confidence |
| 44 | dots3-note Preview | 41.9% | estimated ± 2.5 pp, medium confidence |
| 45 | Grok 4.6 | 41.8% | estimated ± 3.6 pp, medium confidence |
| 46 | GPT-5.4 Pro | 41.8% | estimated ± 12.5 pp, low confidence |
| 47 | Claude Mythos 5 | 39.6% | estimated ± 12.5 pp, low confidence |
| 48 | Muse Spark 1.2 | 39.5% | estimated ± 12.0 pp, low confidence |
| 49 | Kimi K3 | 38.8% | measured |
| 50 | Step 5 Preview | 35.0% | measured |
| 51 | Grok 4.5 | 34.9% | estimated ± 12.0 pp, low confidence |
| 52 | Qwen3.8-27B | 34.2% | estimated ± 3.6 pp, medium confidence |
| 53 | Claude Opus 4.6 | 32.5% | estimated ± 12.5 pp, low confidence |
| 54 | Gemini 3.6 Flash | 29.9% | estimated ± 12.0 pp, low confidence |
| 55 | GPT-5.4 | 28.1% | estimated ± 12.0 pp, low confidence |
| 56 | Claude Sonnet 4.6 | 26.7% | estimated ± 5.5 pp, medium confidence |
| 57 | Hy3 Preview | 26.6% | estimated ± 12.0 pp, low confidence |
| 58 | Apodex 1.1 Mini | 25.7% | estimated ± 12.0 pp, low confidence |
| 59 | Ling 3.0 Flash | 25.6% | estimated ± 9.1 pp, low confidence |
| 60 | Quasar 438B | 25.2% | estimated ± 12.0 pp, low confidence |
| 61 | Agents-A1 | 25.2% | estimated ± 2.5 pp, medium confidence |
| 62 | Ling 3.0 Flash VL | 24.3% | estimated ± 12.0 pp, low confidence |
| 63 | Step 3.7 Flash | 23.8% | estimated ± 2.5 pp, medium confidence |
| 64 | Inkling | 23.8% | measured |
| 65 | Beam | 23.5% | estimated ± 12.5 pp, low confidence |
| 66 | MiMo-V2.5-Pro | 22.6% | estimated ± 12.0 pp, low confidence |
| 67 | GLM-5.1 | 22.4% | estimated ± 12.0 pp, low confidence |
| 68 | Solar Pro 4 | 22.0% | estimated ± 12.0 pp, low confidence |
| 69 | Grok 4.3 | 20.9% | estimated ± 12.0 pp, low confidence |
| 70 | Hy3 | 20.1% | estimated ± 12.0 pp, low confidence |
| 71 | Kimi K2.7 Code | 19.1% | estimated ± 12.0 pp, low confidence |
| 72 | GLM-4.7 | 18.1% | estimated ± 12.0 pp, low confidence |
| 73 | GPT-5.4 mini | 18.1% | estimated ± 12.0 pp, low confidence |
| 74 | MiniMax M2.7 | 18.0% | estimated ± 12.0 pp, low confidence |
| 75 | Muse Spark | 17.5% | estimated ± 12.0 pp, low confidence |
| 76 | DeepSeek V4 Flash 0731 | 17.5% | estimated ± 2.5 pp, medium confidence |
| 77 | Qwen3.6 Plus | 17.2% | estimated ± 12.0 pp, low confidence |
| 78 | Qwen3.6-27B | 17.0% | estimated ± 12.0 pp, low confidence |
| 79 | Gemini 3.5 Flash-Lite | 16.9% | estimated ± 12.0 pp, low confidence |
| 80 | Muse Glimmer 30B | 16.4% | estimated ± 3.6 pp, medium confidence |
| 81 | A.X K2 | 16.0% | estimated ± 12.0 pp, low confidence |
| 82 | GPT-5.4 nano | 15.5% | estimated ± 12.0 pp, low confidence |
| 83 | Ling 3.0 Flash FP8 | 15.4% | estimated ± 12.0 pp, low confidence |
| 84 | GPT-5 (high) | 14.3% | estimated ± 12.0 pp, low confidence |
| 85 | Qwen3.6-35B-A3B | 13.4% | estimated ± 12.0 pp, low confidence |
| 86 | Agents-A1-4B | 12.7% | estimated ± 12.5 pp, low confidence |
| 87 | GPT-5.2 | 12.0% | estimated ± 12.5 pp, low confidence |
| 88 | Kimi K2.5 | 11.5% | estimated ± 12.0 pp, low confidence |
| 89 | Kimi K2.5 (Reasoning) | 11.5% | estimated ± 12.0 pp, low confidence |
| 90 | GPT-5.1 | 11.0% | estimated ± 12.0 pp, low confidence |
| 91 | Qwen3.5-122B-A10B | 10.5% | estimated ± 12.0 pp, low confidence |
| 92 | MiniMax M3 | 10.0% | measured |
| 93 | Kimi K2.6 | 10.0% | estimated ± 5.5 pp, medium confidence |
| 94 | Inkling-Small | 9.8% | estimated ± 6.7 pp, low confidence |
| 95 | Gemini 3.1 Pro | 9.7% | estimated ± 12.0 pp, low confidence |
| 96 | Qwen3.5 397B | 9.5% | estimated ± 12.5 pp, low confidence |
| 97 | Qwen3.7 Plus | 9.2% | estimated ± 5.5 pp, low confidence |
| 98 | Qwen3.5-27B | 9.0% | estimated ± 12.5 pp, low confidence |
| 99 | Qwen3.5-35B-A3B | 9.0% | estimated ± 12.5 pp, low confidence |
| 100 | Mistral Medium 3.5 128B | 8.6% | estimated ± 12.0 pp, low confidence |
| 101 | MiniCPM5-2B | 6.8% | estimated ± 12.0 pp, low confidence |
| 102 | Nemotron 3 Ultra | 6.3% | measured |
| 103 | Laguna S 2.1 | 5.9% | estimated ± 6.7 pp, low confidence |
| 104 | LongCat-Flash-Lite-Sparse | 5.0% | estimated ± 12.5 pp, low confidence |
| 105 | Ornith-1.5-35B-A3B | 4.9% | estimated ± 2.5 pp, low confidence |
| 106 | Ornith-1.5-9B | 4.5% | estimated ± 2.5 pp, low confidence |
| 107 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 4.4% | estimated ± 12.0 pp, low confidence |
| 108 | MiMo-V2-Flash | 4.2% | estimated ± 12.0 pp, low confidence |
| 109 | Gemma 4 31B | 3.8% | estimated ± 12.0 pp, low confidence |
| 110 | GPT-OSS 120B | 3.5% | estimated ± 12.0 pp, low confidence |
| 111 | Granite 4.2 30B | 2.4% | estimated ± 12.0 pp, low confidence |
| 112 | Gemma 4 26B A4B | 2.1% | estimated ± 12.0 pp, low confidence |
| 113 | Ling 3.0 Tiny | 2.0% | estimated ± 12.0 pp, low confidence |
| 114 | Command A+ | 0.6% | estimated ± 12.0 pp, low confidence |
| 115 | Celeris-1 | 0.0% | estimated ± 12.0 pp, low confidence |
| 116 | DeepSeek V3 | 0.0% | estimated ± 12.0 pp, low confidence |
| 117 | DeepSeek V3 0324 | 0.0% | estimated ± 12.0 pp, low confidence |
| 118 | Gemini 2.5 Pro | 0.0% | estimated ± 12.0 pp, low confidence |
| 119 | Gemma 3 27B | 0.0% | estimated ± 12.0 pp, low confidence |
| 120 | Gemma 4 12B | 0.0% | estimated ± 12.0 pp, low confidence |
| 121 | Gemma 4 E2B | 0.0% | estimated ± 12.0 pp, low confidence |
| 122 | Gemma 4 E4B | 0.0% | estimated ± 12.0 pp, low confidence |
| 123 | GPT-4.1 mini | 0.0% | estimated ± 12.0 pp, low confidence |
| 124 | GPT-4.1 nano | 0.0% | estimated ± 12.0 pp, low confidence |
| 125 | GPT-4o | 0.0% | estimated ± 12.0 pp, low confidence |
| 126 | GPT-4o mini | 0.0% | estimated ± 12.0 pp, low confidence |
| 127 | GPT-OSS 20B | 0.0% | estimated ± 12.0 pp, low confidence |
| 128 | Granite 4.2 3B | 0.0% | estimated ± 12.0 pp, low confidence |
| 129 | Granite 4.2 8B | 0.0% | estimated ± 12.0 pp, low confidence |
| 130 | K-Exaone | 0.0% | estimated ± 12.0 pp, low confidence |
| 131 | LFM2.5-2.6B | 0.0% | estimated ± 12.0 pp, low confidence |
| 132 | Ling 2.6 Flash | 0.0% | estimated ± 12.0 pp, low confidence |
| 133 | Llama 4 Maverick | 0.0% | estimated ± 12.0 pp, low confidence |
| 134 | Llama 4 Scout | 0.0% | estimated ± 12.0 pp, low confidence |
| 135 | Mercury 2.5 | 0.0% | estimated ± 12.0 pp, low confidence |
| 136 | Mistral Large 3 | 0.0% | estimated ± 12.0 pp, low confidence |
| 137 | Mistral Small 4 | 0.0% | estimated ± 12.0 pp, low confidence |
| 138 | Mistral Small 4 (Reasoning) | 0.0% | estimated ± 12.0 pp, low confidence |
| 139 | Nemotron 3 Nano 30B | 0.0% | estimated ± 12.0 pp, low confidence |
| 140 | Nemotron 3 Nano Omni 30B A3B | 0.0% | estimated ± 12.0 pp, low confidence |
| 141 | Nemotron 3 Super 100B | 0.0% | estimated ± 12.0 pp, low confidence |
| 142 | North Mini Code | 0.0% | estimated ± 12.0 pp, low confidence |
| 143 | Solar Pro 3 | 0.0% | estimated ± 12.0 pp, low confidence |
| 144 | Trinity-Large-Preview | 0.0% | estimated ± 12.0 pp, low confidence |
| 145 | Trinity-Large-Thinking | 0.0% | estimated ± 12.0 pp, low confidence |
| 146 | Ultravox v0.6 Llama 3.3 70B | 0.0% | estimated ± 12.0 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
- APEX-Agents
- 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
- MCP Atlas
- MCP-Tasks
- OSWorld-Verified
- OSWorld 2.0
- QwenClawBench
- ResearchClawBench
- SkillsBench
- τ²-bench results
- τ³-bench results
- Toolathlon
- Toolathlon-Verified
- 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
- SciCode
- 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
- 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