OpenVLM CCBench - Historical Figures: leaderboard

CCBench Historical Figures accuracy from the OpenCompass OpenVLM Leaderboard (VLMEvalKit): multiple-choice questions on Chinese culture about historical figures. The category holds 35 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
1Qwen 2 VL 72B60#450
2InternVL3-78B54.3#361
3GPT-4.1 (2025-04-14)45.7#257
4GPT-4.1 Mini42.9#363
5InternVL3-14B37.1#506
6Qwen 2 VL 7B28.6#743
7Gemma 3 27B28.6#606
8Qwen-VL-Max28.6#475
9InternVL3-38B25.7#413
10MiniCPM-V-2.625.7#827
11Qwen 2.5 VL 7B25.7#641
12Claude 3.5 Sonnet (20241022)22.9#302
13Gemma 3 12B20#674
14Grok 2 (1212)20#502
15Moonshot v1 8K20#622

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-historical-figures · How It Works · Data refreshed daily, snapshot 2026-11-05.