OpenVLM A-Bench - Aesthetic Quality: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 1.5 Pro | 70.8 |
| 2 | InternVL3-78B | 69.9 |
| 3 | Moonshot v1 8K | 68.5 |
| 4 | Qwen 2 VL 7B | 68 |
| 5 | Qwen 2 VL 72B | 66.7 |
| 6 | Grok 2 (1212) | 66.2 |
| 7 | InternVL3-14B | 65.8 |
| 8 | InternVL2-8B | 65.3 |
| 9 | GPT-4.1 (2025-04-14) | 63.9 |
| 10 | Gemini 1.5 Flash | 63.9 |
| 11 | GPT-4.1 Nano | 63 |
| 12 | InternVL3-8B | 62.1 |
| 13 | Claude 3.7 Sonnet | 61.6 |
| 14 | GPT-4.1 Mini | 60.3 |
| 15 | Aquila-VL-2B | 60.3 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-a-bench-aesthetic-quality · How It Works · Data refreshed daily, snapshot 2026-09-19.