Vision & documents
CountBench leaderboard
As of 2026-10-10, the highest measured score on CountBench is 97.8% by Qwen3.6-27B. 59 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Mythos 5 | 99.4% | estimated ± 3.7 pp, low confidence |
| 2 | Claude Opus 4.7 (Adaptive) | 98.8% | estimated ± 3.7 pp, low confidence |
| 3 | Claude Opus 4.8 | 98.5% | estimated ± 3.7 pp, low confidence |
| 4 | GLM-5.3-Flash | 98.3% | estimated ± 3.7 pp, low confidence |
| 5 | Gemini 3.7 Flash | 98.1% | estimated ± 3.7 pp, low confidence |
| 6 | Muse Spark 1.1 | 98.1% | estimated ± 3.7 pp, low confidence |
| 7 | Claude Sonnet 5 | 98.0% | estimated ± 3.7 pp, low confidence |
| 8 | Qwen3.6-27B | 97.8% | measured |
| 9 | Sakana Fugu-Ultra | 97.5% | estimated ± 3.7 pp, low confidence |
| 10 | Step 3.7 Flash | 97.5% | estimated ± 0.9 pp, medium confidence |
| 11 | Gemini 3.1 Pro | 97.5% | estimated ± 2.2 pp, medium confidence |
| 12 | Qwen3.8 Max | 97.4% | estimated ± 0.8 pp, low confidence |
| 13 | Kimi K3 | 97.4% | estimated ± 0.8 pp, low confidence |
| 14 | Seed 2.1 Pro | 97.4% | estimated ± 0.8 pp, low confidence |
| 15 | Qwen3.8-Omni-Flash | 97.4% | estimated ± 0.8 pp, low confidence |
| 16 | Qwen3.8-Flash-Next | 97.4% | estimated ± 0.8 pp, low confidence |
| 17 | Qwen3.7 Plus | 97.4% | estimated ± 0.8 pp, low confidence |
| 18 | Seed 2.1 Turbo | 97.4% | estimated ± 0.8 pp, low confidence |
| 19 | Qwen3.8-27B | 97.4% | estimated ± 0.8 pp, low confidence |
| 20 | Qwen3.6 Plus | 97.3% | estimated ± 0.8 pp, medium confidence |
| 21 | dots3-note Preview | 97.3% | estimated ± 0.8 pp, medium confidence |
| 22 | Gemini 3 Pro | 97.3% | measured |
| 23 | Kimi K2.6 | 97.3% | estimated ± 0.8 pp, medium confidence |
| 24 | Qwen3.6-35B-A3B | 97.3% | estimated ± 1.6 pp, medium confidence |
| 25 | Qwen3.5 397B | 97.2% | measured |
| 26 | Sakana Fugu | 97.1% | estimated ± 3.7 pp, low confidence |
| 27 | Qwen3.5-122B-A10B | 97.0% | estimated ± 0.8 pp, medium confidence |
| 28 | Qwen3.5-27B | 96.9% | estimated ± 0.8 pp, medium confidence |
| 29 | Gemini 3.5 Flash | 96.8% | estimated ± 3.7 pp, low confidence |
| 30 | MiMo-V2.5 | 96.7% | estimated ± 1.8 pp, medium confidence |
| 31 | GPT-5.4 | 96.2% | estimated ± 2.2 pp, medium confidence |
| 32 | Inkling | 96.2% | estimated ± 3.7 pp, low confidence |
| 33 | Muse Spark | 96.0% | estimated ± 2.2 pp, medium confidence |
| 34 | Inkling-Small | 95.9% | estimated ± 3.7 pp, low confidence |
| 35 | GPT-5.6 Sol | 95.8% | estimated ± 5.5 pp, low confidence |
| 36 | GPT-5.5 | 95.5% | estimated ± 5.5 pp, low confidence |
| 37 | GPT-5.6 Terra | 95.4% | estimated ± 5.5 pp, low confidence |
| 38 | GPT-5.6 Luna | 95.0% | estimated ± 5.5 pp, low confidence |
| 39 | Grok 4.3 | 95.0% | estimated ± 5.5 pp, low confidence |
| 40 | Pareto 26.9 | 95.0% | estimated ± 5.5 pp, low confidence |
| 41 | Gemma 4 31B | 94.8% | estimated ± 5.5 pp, low confidence |
| 42 | GPT-5.4 mini | 94.7% | estimated ± 5.5 pp, low confidence |
| 43 | Kimi K2.5 (Reasoning) | 94.7% | estimated ± 3.7 pp, low confidence |
| 44 | Claude Sonnet 4.6 | 94.6% | estimated ± 3.7 pp, low confidence |
| 45 | Step 5 Preview | 94.6% | estimated ± 5.5 pp, low confidence |
| 46 | Gemma 4 26B A4B | 94.3% | estimated ± 5.5 pp, low confidence |
| 47 | Kimi K2.5 | 94.1% | measured |
| 48 | Interfaze Beta | 93.8% | estimated ± 5.5 pp, low confidence |
| 49 | Qwen3.5-35B-A3B | 93.5% | estimated ± 0.8 pp, medium confidence |
| 50 | Ternary Bonsai 2 27B | 93.4% | estimated ± 3.8 pp, high confidence |
| 51 | Gemini 3.1 Flash-Lite | 93.2% | estimated ± 3.7 pp, low confidence |
| 52 | GPT-5.4 nano | 93.0% | estimated ± 5.5 pp, low confidence |
| 53 | Grok 4.20 | 92.6% | estimated ± 2.2 pp, medium confidence |
| 54 | GPT-5.2 | 91.9% | measured |
| 55 | Claude Opus 4.6 | 91.9% | estimated ± 2.2 pp, medium confidence |
| 56 | MiniMax M3 | 91.0% | estimated ± 1.8 pp, medium confidence |
| 57 | Gemma 4 E4B | 90.7% | estimated ± 5.5 pp, low confidence |
| 58 | Gemma 4 12B | 90.6% | estimated ± 0.8 pp, medium confidence |
| 59 | Claude Opus 4.5 | 90.6% | measured |
| 60 | Nemotron 3 Nano Omni 30B A3B | 90.3% | estimated ± 2.0 pp, medium confidence |
| 61 | Qwen2.5-VL-32B | 90.1% | estimated ± 5.5 pp, low confidence |
| 62 | Gemma 4 E2B | 89.2% | estimated ± 5.5 pp, low confidence |
| 63 | ZAYA1-VL-8B | 88.1% | measured |
| 64 | LFM2.5-VL-3B | 87.3% | measured |
| 65 | Command A+ | 83.7% | estimated ± 3.7 pp, low confidence |
| 66 | North Micro Vision Instruct | 81.0% | estimated ± 3.8 pp, high confidence |
| 67 | Muse Glimmer 30B | 77.2% | estimated ± 2.5 pp, low confidence |
| 68 | LFM2.5-VL-450M | 73.3% | measured |
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 v1.0
- 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
- Bug Hunt Bench
- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
- DeepSWE
- FrontierCode 1.1 Main
- FrontierCode 1.1 Extended
- FrontierSWE v2
- 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 2024
- 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
- BBH
- 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
- SimpleQA
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
- AA-MMMU-Pro
- AI2D_TEST
- BabyVision
- CC-OCR
- CharXiv
- CharXiv w/o tools
- CountBench
- DynaMath
- ERQA
- MathVision
- MathVision w/ Python
- MedXpertQA (MM)
- MLVU (M-Avg)
- MMMU
- MMMU-Pro
- MMMU-Pro w/ Python
- MMVU
- OfficeQA Pro
- OmniDocBench 1.5
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- Video-MME (w/o subtitle)
- Video-MME (with subtitle)
- VideoMMMU
- V*
- We-Math
- ZeroBench