OpenVLM MMBench V1.0 CN - CP: leaderboard
MMBench v1.0 Chinese 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. 230 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | InternVL2.5-78B | 90.6 | #434 |
| 2 | InternVL3-78B | 89.5 | #361 |
| 3 | GPT-4.1 (2025-04-14) | 89.3 | #257 |
| 4 | Qwen 2.5 VL 7B | 88.2 | #641 |
| 5 | GPT-4.1 Mini | 87.6 | #363 |
| 6 | Claude 3.7 Sonnet | 87.6 | #259 |
| 7 | Qwen 2 VL 72B | 87.4 | #450 |
| 8 | InternVL2-8B | 86.9 | #813 |
| 9 | Qwen 2 VL 7B | 86.9 | #743 |
| 10 | InternVL3-8B | 86.1 | #624 |
| 11 | InternVL3-14B | 86.1 | #506 |
| 12 | Gemma 3 27B | 85.9 | #606 |
| 13 | Gemini 1.5 Flash | 85.7 | #620 |
| 14 | Claude 3.5 Sonnet | 85.4 | #362 |
| 15 | InternVL3-38B | 85.2 | #413 |
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-cp · How It Works · Data refreshed daily, snapshot 2026-11-05.