OpenVLM MMBench V1.0 EN - FP-S: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 231 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-78B | 93.5 |
| 2 | InternVL2.5-78B | 92.5 |
| 3 | Qwen 2 VL 72B | 92.2 |
| 4 | Grok 2 (1212) | 91.5 |
| 5 | Llama 3.2 90B Vision Instruct | 89.9 |
| 6 | Qwen 2 VL 7B | 89.2 |
| 7 | InternVL3-14B | 88.7 |
| 8 | InternVL3-8B | 88.2 |
| 9 | GPT-4.1 Mini | 87.9 |
| 10 | Claude 3.5 Sonnet (20241022) | 86.4 |
| 11 | InternVL2-8B | 86.2 |
| 12 | Gemma 3 27B | 86.2 |
| 13 | Gemini 1.5 Flash | 86.2 |
| 14 | Moonshot v1 8K | 85.7 |
| 15 | GPT-4.1 (2025-04-14) | 85.2 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-en-fp-s · How It Works · Data refreshed daily, snapshot 2026-09-19.