OpenVLM MMBench V1.0 CN - FP-C: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 230 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 VL 72B | 88.3 |
| 2 | InternVL3-78B | 87.4 |
| 3 | InternVL2.5-78B | 85.4 |
| 4 | GPT-4.1 (2025-04-14) | 85 |
| 5 | GPT-4.1 Mini | 84.6 |
| 6 | Claude 3.7 Sonnet | 83.4 |
| 7 | Grok 2 (1212) | 82.2 |
| 8 | Claude 3.5 Sonnet (20241022) | 80.6 |
| 9 | InternVL3-14B | 80.6 |
| 10 | InternVL3-8B | 78.1 |
| 11 | Claude 3.5 Sonnet | 77.3 |
| 12 | InternVL2-8B | 74.9 |
| 13 | Qwen 2 VL 7B | 74.5 |
| 14 | Moonshot v1 8K | 73.3 |
| 15 | Gemini 1.5 Flash | 72.9 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-cn-fp-c · How It Works · Data refreshed daily, snapshot 2026-09-19.