OpenVLM Q-Bench - What (In-context Distortion): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 Mini | 92 |
| 2 | GPT-4.1 (2025-04-14) | 92 |
| 3 | InternVL3-78B | 91 |
| 4 | Qwen 2 VL 72B | 87 |
| 5 | Moonshot v1 8K | 86 |
| 6 | InternVL3-14B | 85 |
| 7 | GPT-4.1 Nano | 80 |
| 8 | InternVL3-8B | 79 |
| 9 | Qwen 2 VL 7B | 79 |
| 10 | Aquila-VL-2B | 78 |
| 11 | Grok 2 (1212) | 77 |
| 12 | Pixtral-12B | 76 |
| 13 | Qwen 2 VL 2B | 75 |
| 14 | Gemini 1.5 Flash | 75 |
| 15 | Gemma 3 27B | 74 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-what-in-context-distortion · How It Works · Data refreshed daily, snapshot 2026-09-19.