OpenVLM MMBench V1.1 EN - Attribute Recognition: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 284 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-78B | 96.6 |
| 2 | InternVL3-38B | 96.6 |
| 3 | Aquila-VL-2B | 96.6 |
| 4 | InternVL2.5-78B | 96.6 |
| 5 | InternVL2.5-2B | 96.6 |
| 6 | GPT-4o ChatGPT | 96.6 |
| 7 | GPT-5 | 95.5 |
| 8 | InternVL3-8B | 94.4 |
| 9 | Gemini 1.5 Flash (002) | 94.4 |
| 10 | GPT-4.5 | 94.4 |
| 11 | GPT-4.1 Mini | 93.3 |
| 12 | Gemini 1.5 Pro (002) | 93.3 |
| 13 | Gemini 1.5 Pro | 93.3 |
| 14 | Grok 2 (1212) | 93.3 |
| 15 | Gemini 1.5 Flash | 93.3 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-1-en-attribute-recognition · How It Works · Data refreshed daily, snapshot 2026-09-05.