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

MMBench v1.0 Chinese test questions on single-instance fine-grained perception (FP-S: object localization, attribute and celebrity recognition, OCR), 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 72B93.5#450
2InternVL3-78B93.2#361
3InternVL2.5-78B93#434
4InternVL3-38B91.7#413
5Grok 2 (1212)91.2#502
6Qwen 2.5 VL 7B88.9#641
7Claude 3.5 Sonnet (20241022)88.4#302
8InternVL3-14B87.7#506
9GPT-4.1 Mini86.7#363
10InternVL3-8B86.7#624
11GPT-4.1 (2025-04-14)86.4#257
12Llama 3.2 90B Vision Instruct86.2#621
13InternVL2-8B85.7#813
14Qwen 2 VL 7B85.2#743
15MiniCPM-V-2.684.9#827

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