OpenVLM MMBench V1.0 CN: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 230 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-78B | 88.8 |
| 2 | InternVL2.5-78B | 88.5 |
| 3 | GPT-4.1 (2025-04-14) | 86.8 |
| 4 | Qwen 2 VL 72B | 86.7 |
| 5 | GPT-4.1 Mini | 85.5 |
| 6 | Grok 2 (1212) | 84.8 |
| 7 | InternVL3-14B | 84.4 |
| 8 | Claude 3.5 Sonnet (20241022) | 83.5 |
| 9 | InternVL3-8B | 82.7 |
| 10 | InternVL2-8B | 80.9 |
| 11 | Claude 3.7 Sonnet | 80.9 |
| 12 | Claude 3.5 Sonnet | 80.7 |
| 13 | Gemma 3 27B | 80.7 |
| 14 | Qwen 2 VL 7B | 80.6 |
| 15 | Moonshot v1 8K | 78.9 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-cn · How It Works · Data refreshed daily, snapshot 2026-09-19.