OpenVLM Q-Bench - How (In-context Distortion): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 (2025-04-14) | 75.9 |
| 2 | Qwen 2 VL 72B | 71.3 |
| 3 | InternVL3-78B | 70.1 |
| 4 | GPT-4.1 Mini | 69 |
| 5 | Gemini 1.5 Pro | 69 |
| 6 | Qwen 2 VL 7B | 66.7 |
| 7 | Grok 2 (1212) | 66.7 |
| 8 | Aquila-VL-2B | 65.5 |
| 9 | Pixtral-12B | 65.5 |
| 10 | Qwen 2 VL 2B | 64.4 |
| 11 | InternVL3-8B | 63.2 |
| 12 | Gemini 1.5 Flash | 63.2 |
| 13 | Gemma 3 27B | 62.1 |
| 14 | GPT-4.1 Nano | 60.9 |
| 15 | InternVL3-14B | 60.9 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-how-in-context-distortion · How It Works · Data refreshed daily, snapshot 2026-09-19.