OpenVLM CCBench - Sketch Reasoning: leaderboard

CCBench Sketch Reasoning accuracy from the OpenCompass OpenVLM Leaderboard (VLMEvalKit): multiple-choice questions on Chinese culture about reasoning about sketches. The category holds 45 of the 510 questions and is scored with CircularEval (correct under every rotation of the options). Accuracy in percent, higher is better.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 228 models tracked.

Top models

#ModelScoreOverall rank
1InternVL3-78B95.6#361
2InternVL3-8B93.3#624
3InternVL3-38B93.3#413
4InternVL3-14B93.3#506
5InternVL2-8B91.1#813
6Qwen 2 VL 7B86.7#743
7Qwen 2 VL 72B86.7#450
8GPT-4.1 Mini84.4#363
9GPT-4.1 (2025-04-14)84.4#257
10MiniCPM-V-2.684.4#827
11Claude 3.7 Sonnet80#259
12Grok 2 (1212)80#502
13Moonshot v1 8K80#622
14Qwen-VL-Max80#475
15Llama 3.2 90B Vision Instruct77.8#621

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=openvlm-ccbench-sketch-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-05.