OpenVLM Q-Bench - What (Others): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 VL 72B | 87.5 |
| 2 | Moonshot v1 8K | 87.5 |
| 3 | InternVL3-78B | 86.6 |
| 4 | InternVL3-14B | 84.8 |
| 5 | Qwen 2 VL 2B | 84.8 |
| 6 | GPT-4.1 Mini | 83.9 |
| 7 | InternVL3-8B | 83.9 |
| 8 | Gemma 3 12B | 83.9 |
| 9 | Gemma 3 27B | 83 |
| 10 | Qwen 2 VL 7B | 82.1 |
| 11 | Grok 2 (1212) | 82.1 |
| 12 | GPT-4.1 (2025-04-14) | 81.2 |
| 13 | GPT-4.1 Nano | 80.4 |
| 14 | Aquila-VL-2B | 79.5 |
| 15 | Llama 3.2 11B Instruct | 78.6 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-what-others · How It Works · Data refreshed daily, snapshot 2026-09-19.