OpenVLM MMBench V1.0 CN - FP-C: leaderboard

MMBench v1.0 Chinese test questions on cross-instance fine-grained perception (FP-C: spatial relationships, attribute comparison, action recognition), 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. 230 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2 VL 72B88.3#450
2InternVL3-78B87.4#361
3InternVL2.5-78B85.4#434
4InternVL3-38B85#413
5GPT-4.1 (2025-04-14)85#257
6GPT-4.1 Mini84.6#363
7Claude 3.7 Sonnet83.4#259
8Grok 2 (1212)82.2#502
9Claude 3.5 Sonnet (20241022)80.6#302
10InternVL3-14B80.6#506
11InternVL3-8B78.1#624
12Qwen 2.5 VL 7B77.7#641
13Claude 3.5 Sonnet77.3#362
14InternVL2-8B74.9#813
15Qwen 2 VL 7B74.5#743

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-cn-fp-c · How It Works · Data refreshed daily, snapshot 2026-11-05.