OpenVLM MMBench V1.0 EN - RR: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 231 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-78B | 90 |
| 2 | InternVL2.5-78B | 90 |
| 3 | GPT-4.1 Mini | 84.4 |
| 4 | InternVL3-14B | 83.9 |
| 5 | InternVL3-8B | 82.5 |
| 6 | InternVL2-8B | 82.5 |
| 7 | GPT-4.1 (2025-04-14) | 82 |
| 8 | Qwen 2 VL 72B | 82 |
| 9 | Grok 2 (1212) | 81 |
| 10 | Gemma 3 27B | 80.1 |
| 11 | Claude 3.5 Sonnet (20241022) | 78.7 |
| 12 | Qwen 2 VL 7B | 78.2 |
| 13 | Aquila-VL-2B | 77.7 |
| 14 | Llama 3.2 90B Vision Instruct | 77.7 |
| 15 | Claude 3.7 Sonnet | 75.8 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-en-rr · How It Works · Data refreshed daily, snapshot 2026-09-19.