OpenVLM MMBench V1.1 CN - Image Quality — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 284 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini (2025-08-07) | 74.2 |
| 2 | GPT-4o ChatGPT | 70.2 |
| 3 | GPT-5 (2025-08-07) | 70.2 |
| 4 | Gemini 2.5 Pro | 68.5 |
| 5 | GPT-4.1 (2025-04-14) | 67.7 |
| 6 | InternVL3-78B | 64.5 |
| 7 | Qwen 2 VL 72B | 64.5 |
| 8 | Claude 3.5 Sonnet (20241022) | 62.9 |
| 9 | InternVL2.5-78B | 62.9 |
| 10 | InternVL3-38B | 62.1 |
| 11 | Ovis2-8B | 62.1 |
| 12 | GPT-5 Nano | 62.1 |
| 13 | InternVL2-8B | 61.3 |
| 14 | InternVL3-8B | 60.5 |
| 15 | Qwen 2 VL 7B | 60.5 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-1-cn-image-quality · How the rankings work · Data refreshed daily, snapshot 2026-07-22.