OpenVLM MMBench V1.0 EN - FP-S: leaderboard
MMBench v1.0 English 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. 231 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | InternVL3-38B | 93.5 | #413 |
| 2 | InternVL3-78B | 93.5 | #361 |
| 3 | InternVL2.5-78B | 92.5 | #434 |
| 4 | Qwen 2 VL 72B | 92.2 | #450 |
| 5 | Grok 2 (1212) | 91.5 | #502 |
| 6 | Llama 3.2 90B Vision Instruct | 89.9 | #621 |
| 7 | Qwen 2.5 VL 7B | 89.7 | #641 |
| 8 | Qwen 2 VL 7B | 89.2 | #743 |
| 9 | InternVL3-14B | 88.7 | #506 |
| 10 | InternVL3-8B | 88.2 | #624 |
| 11 | GPT-4.1 Mini | 87.9 | #363 |
| 12 | MiniCPM-V-2.6 | 87.9 | #827 |
| 13 | Qwen-VL-Max | 86.9 | #475 |
| 14 | Claude 3.5 Sonnet (20241022) | 86.4 | #302 |
| 15 | InternVL2-8B | 86.2 | #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-s · How It Works · Data refreshed daily, snapshot 2026-11-05.