OpenVLM Q-Bench: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 VL 72B | 80.3 |
| 2 | GPT-4.1 Mini | 80 |
| 3 | GPT-4.1 (2025-04-14) | 79.7 |
| 4 | InternVL3-78B | 78.8 |
| 5 | Moonshot v1 8K | 77.5 |
| 6 | Qwen 2 VL 7B | 76.9 |
| 7 | InternVL3-14B | 76.7 |
| 8 | InternVL3-8B | 75.9 |
| 9 | GPT-4.1 Nano | 74.8 |
| 10 | Gemini 1.5 Pro | 74.7 |
| 11 | Aquila-VL-2B | 74.2 |
| 12 | Qwen 2 VL 2B | 73.9 |
| 13 | Gemini 1.5 Flash | 73.7 |
| 14 | Pixtral-12B | 73.4 |
| 15 | Gemma 3 12B | 73.3 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench · How It Works · Data refreshed daily, snapshot 2026-09-19.