OpenVLM MMBench V1.1 EN - Image Quality: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 284 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini (2025-08-07) | 80.6 |
| 2 | GPT-5 | 74.2 |
| 3 | Gemini 2.5 Pro | 71.8 |
| 4 | GPT-4.1 Mini | 68.5 |
| 5 | GPT-4o ChatGPT | 68.5 |
| 6 | GPT-4.1 (2025-04-14) | 66.9 |
| 7 | Qwen 2 VL 72B | 63.7 |
| 8 | InternVL2.5-78B | 63.7 |
| 9 | InternVL3-78B | 61.3 |
| 10 | Claude 3.5 Sonnet | 61.3 |
| 11 | GPT-4.5 | 61.3 |
| 12 | InternVL3-38B | 60.5 |
| 13 | GPT-5 Nano | 60.5 |
| 14 | Qwen 2 VL 7B | 59.7 |
| 15 | Claude 3.5 Sonnet (20241022) | 59.7 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-1-en-image-quality · How It Works · Data refreshed daily, snapshot 2026-09-05.