OpenVLM MMBench V1.0 EN - CP: leaderboard

MMBench v1.0 English test questions on coarse perception (CP: image style, scene, topic, emotion and quality), from the OpenCompass OpenVLM Leaderboard (VLMEvalKit). CircularEval counts a question only if every rotation of its options is answered correctly. Accuracy in percent, higher is better; this is the original question set, separate from the MMBench V1.1 boards.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 231 models tracked.

Top models

#ModelScoreOverall rank
1InternVL2.5-78B89.1#434
2GPT-4.1 (2025-04-14)88.4#257
3InternVL3-78B87.4#361
4InternVL3-14B87.4#506
5Qwen 2 VL 72B87.4#450
6GPT-4.1 Mini87.2#363
7InternVL3-38B87.2#413
8Qwen 2 VL 7B86.9#743
9InternVL3-8B86.3#624
10Gemma 3 27B86.3#606
11MiniCPM-V-2.686.1#827
12Qwen 2.5 VL 7B86.1#641
13InternVL2-8B85.7#813
14Gemini 1.5 Flash85.4#620
15Grok 2 (1212)85.2#502

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

Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-en-cp · How It Works · Data refreshed daily, snapshot 2026-11-05.