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

MMBench v1.0 English 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. 231 models tracked.

Top models

#ModelScoreOverall rank
1InternVL3-78B89.5#361
2Qwen 2 VL 72B89.1#450
3GPT-4.1 Mini87.9#363
4GPT-4.1 (2025-04-14)87#257
5InternVL3-38B85.8#413
6InternVL2.5-78B85.8#434
7Claude 3.7 Sonnet83.4#259
8Grok 2 (1212)82.6#502
9InternVL3-14B81.4#506
10Qwen 2.5 VL 7B80.2#641
11Claude 3.5 Sonnet (20241022)79.8#302
12InternVL3-8B79.4#624
13Qwen 2 VL 7B77.3#743
14Claude 3.5 Sonnet77.3#362
15InternVL2-8B74.9#813

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