OpenVLM A-Bench - Attribute Awareness: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-78B | 96.4 |
| 2 | Qwen 2 VL 72B | 96.4 |
| 3 | Gemini 1.5 Pro | 95.5 |
| 4 | GPT-4.1 (2025-04-14) | 93.6 |
| 5 | InternVL3-8B | 92.7 |
| 6 | Pixtral-12B | 92.7 |
| 7 | Qwen 2 VL 7B | 91.8 |
| 8 | Grok 2 (1212) | 91.8 |
| 9 | GPT-4.1 Mini | 90.9 |
| 10 | Qwen 2 VL 2B | 90.9 |
| 11 | Gemma 3 27B | 90.9 |
| 12 | InternVL3-14B | 90 |
| 13 | Aquila-VL-2B | 90 |
| 14 | Claude 3.7 Sonnet | 90 |
| 15 | Llama 3.2 11B Instruct | 90 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-a-bench-attribute-awareness · How It Works · Data refreshed daily, snapshot 2026-09-19.