OpenVLM A-Bench - Major Object Recognition: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 Mini | 95.6 |
| 2 | InternVL2-8B | 95.6 |
| 3 | GPT-4.1 (2025-04-14) | 94.5 |
| 4 | Qwen 2 VL 72B | 94.5 |
| 5 | Moonshot v1 8K | 94.5 |
| 6 | Qwen 2 VL 7B | 94 |
| 7 | InternVL3-8B | 93.4 |
| 8 | InternVL3-78B | 93.4 |
| 9 | InternVL3-14B | 93.4 |
| 10 | Aquila-VL-2B | 93.4 |
| 11 | Qwen 2 VL 2B | 92.9 |
| 12 | Gemini 1.5 Flash | 92.3 |
| 13 | Llama 3.2 11B Instruct | 91.8 |
| 14 | Gemma 3 27B | 91.8 |
| 15 | Gemma 3 12B | 91.8 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-a-bench-major-object-recognition · How It Works · Data refreshed daily, snapshot 2026-09-19.