OpenVLM Q-Bench - Yes-or-No (In-context Distortion): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 (2025-04-14) | 82.1 |
| 2 | Qwen 2 VL 72B | 82.1 |
| 3 | Moonshot v1 8K | 80.3 |
| 4 | GPT-4.1 Mini | 79.5 |
| 5 | Gemini 1.5 Pro | 77.8 |
| 6 | InternVL3-14B | 76.1 |
| 7 | Gemini 1.5 Flash | 76.1 |
| 8 | GPT-4.1 Nano | 75.2 |
| 9 | Qwen 2 VL 7B | 75.2 |
| 10 | Qwen 2 VL 2B | 75.2 |
| 11 | InternVL3-78B | 74.4 |
| 12 | InternVL3-8B | 71.8 |
| 13 | Gemma 3 12B | 71.8 |
| 14 | Aquila-VL-2B | 70.1 |
| 15 | Gemma 3 27B | 69.2 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-yes-or-no-in-context-distortion · How It Works · Data refreshed daily, snapshot 2026-09-19.