OpenVLM Q-Bench - How (In-context Others): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-78B | 82.4 |
| 2 | Qwen 2 VL 72B | 81.2 |
| 3 | InternVL3-14B | 81.2 |
| 4 | GPT-4.1 Mini | 80 |
| 5 | Gemma 3 12B | 80 |
| 6 | Moonshot v1 8K | 78.8 |
| 7 | GPT-4.1 (2025-04-14) | 77.6 |
| 8 | InternVL3-8B | 77.6 |
| 9 | Aquila-VL-2B | 77.6 |
| 10 | Pixtral-12B | 77.6 |
| 11 | Gemini 1.5 Flash | 77.6 |
| 12 | InternVL2-8B | 75.3 |
| 13 | Qwen 2 VL 2B | 75.3 |
| 14 | Gemma 3 27B | 75.3 |
| 15 | Gemini 1.5 Pro | 74.1 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-how-in-context-others · How It Works · Data refreshed daily, snapshot 2026-09-19.