OpenVLM Q-Bench - How (Distortion): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 Mini | 68.2 |
| 2 | Gemma 3 27B | 68.2 |
| 3 | InternVL3-78B | 65.9 |
| 4 | GPT-4.1 (2025-04-14) | 65.3 |
| 5 | Gemma 3 12B | 65.3 |
| 6 | Gemini 1.5 Flash | 64.8 |
| 7 | Qwen 2 VL 7B | 64.2 |
| 8 | Qwen 2 VL 72B | 63.6 |
| 9 | GPT-4.1 Nano | 62.5 |
| 10 | Llama 3.2 11B Instruct | 62.5 |
| 11 | InternVL3-8B | 61.9 |
| 12 | InternVL3-14B | 61.9 |
| 13 | Aquila-VL-2B | 61.9 |
| 14 | Gemini 1.5 Pro | 61.4 |
| 15 | Moonshot v1 8K | 61.4 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-how-distortion · How It Works · Data refreshed daily, snapshot 2026-09-19.