OpenVLM Q-Bench - Yes-or-No (In-context Others): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Aquila-VL-2B | 91.4 |
| 2 | GPT-4.1 Mini | 90 |
| 3 | InternVL3-14B | 90 |
| 4 | Moonshot v1 8K | 90 |
| 5 | GPT-4.1 (2025-04-14) | 88.6 |
| 6 | Qwen 2 VL 72B | 88.6 |
| 7 | Qwen 2 VL 2B | 88.6 |
| 8 | Pixtral-12B | 88.6 |
| 9 | GPT-4.1 Nano | 87.1 |
| 10 | InternVL3-78B | 87.1 |
| 11 | Qwen 2 VL 7B | 87.1 |
| 12 | InternVL2-8B | 87.1 |
| 13 | InternVL3-8B | 85.7 |
| 14 | Gemini 1.5 Pro | 85.7 |
| 15 | Gemma 3 12B | 85.7 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-yes-or-no-in-context-others · How It Works · Data refreshed daily, snapshot 2026-09-19.