OpenVLM Q-Bench - How (Others): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 1.5 Pro | 77.9 |
| 2 | InternVL3-78B | 77.2 |
| 3 | GPT-4.1 (2025-04-14) | 75.9 |
| 4 | GPT-4.1 Nano | 75.2 |
| 5 | GPT-4.1 Mini | 73.1 |
| 6 | InternVL3-8B | 72.4 |
| 7 | Moonshot v1 8K | 72.4 |
| 8 | Qwen 2 VL 72B | 71.7 |
| 9 | Llama 3.2 11B Instruct | 71.7 |
| 10 | InternVL3-14B | 71 |
| 11 | Gemma 3 12B | 71 |
| 12 | Pixtral-12B | 70.3 |
| 13 | InternVL2-8B | 69 |
| 14 | Gemini 1.5 Flash | 69 |
| 15 | Grok 2 (1212) | 69 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-q-bench-how-others · How It Works · Data refreshed daily, snapshot 2026-09-19.