OpenVLM MMBench V1.0 EN - LR: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 231 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 (2025-04-14) | 90.2 |
| 2 | GPT-4.1 Mini | 89.6 |
| 3 | InternVL3-78B | 83.8 |
| 4 | InternVL3-14B | 83.2 |
| 5 | InternVL2.5-78B | 82.1 |
| 6 | Claude 3.5 Sonnet (20241022) | 81.5 |
| 7 | Grok 2 (1212) | 80.3 |
| 8 | Claude 3.7 Sonnet | 79.2 |
| 9 | Qwen 2 VL 72B | 78.6 |
| 10 | InternVL3-8B | 73.4 |
| 11 | Claude 3.5 Sonnet | 73.4 |
| 12 | InternVL2-8B | 71.7 |
| 13 | Gemma 3 27B | 71.7 |
| 14 | Gemma 3 12B | 70.5 |
| 15 | Moonshot v1 8K | 69.9 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-en-lr · How It Works · Data refreshed daily, snapshot 2026-09-19.