OpenVLM Q-Bench - What (Distortion): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 VL 72B | 80.7 |
| 2 | Qwen 2 VL 7B | 79.3 |
| 3 | GPT-4.1 Mini | 77.3 |
| 4 | Aquila-VL-2B | 76 |
| 5 | GPT-4.1 (2025-04-14) | 74.7 |
| 6 | Moonshot v1 8K | 74 |
| 7 | InternVL3-14B | 72 |
| 8 | Gemini 1.5 Pro | 71.3 |
| 9 | InternVL3-8B | 70.7 |
| 10 | GPT-4.1 Nano | 70 |
| 11 | InternVL3-78B | 70 |
| 12 | Gemini 1.5 Flash | 70 |
| 13 | Gemma 3 12B | 68.7 |
| 14 | Qwen 2 VL 2B | 65.3 |
| 15 | Pixtral-12B | 65.3 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-what-distortion · How It Works · Data refreshed daily, snapshot 2026-09-19.