OpenVLM MMBench V1.0 EN: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 231 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-78B | 88.8 |
| 2 | InternVL2.5-78B | 88.2 |
| 3 | GPT-4.1 Mini | 86.9 |
| 4 | GPT-4.1 (2025-04-14) | 86.9 |
| 5 | Qwen 2 VL 72B | 86.9 |
| 6 | InternVL3-14B | 85.7 |
| 7 | Grok 2 (1212) | 85.3 |
| 8 | InternVL3-8B | 83.6 |
| 9 | Qwen 2 VL 7B | 82.8 |
| 10 | Claude 3.5 Sonnet (20241022) | 82.6 |
| 11 | Gemma 3 27B | 82.3 |
| 12 | InternVL2-8B | 82 |
| 13 | Claude 3.7 Sonnet | 81.4 |
| 14 | Llama 3.2 90B Vision Instruct | 80.4 |
| 15 | Claude 3.5 Sonnet | 79.7 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-en · How It Works · Data refreshed daily, snapshot 2026-09-19.