OpenVLM A-Bench - Minor Object Recognition: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-8B | 100 |
| 2 | InternVL3-14B | 100 |
| 3 | GPT-4.1 Mini | 98.3 |
| 4 | InternVL3-78B | 98.3 |
| 5 | Qwen 2 VL 72B | 98.3 |
| 6 | Aquila-VL-2B | 98.3 |
| 7 | Gemini 1.5 Pro | 98.3 |
| 8 | Gemini 1.5 Flash | 98.3 |
| 9 | Grok 2 (1212) | 98.3 |
| 10 | GPT-4.1 Nano | 96.6 |
| 11 | Qwen 2 VL 7B | 96.6 |
| 12 | InternVL2-8B | 96.6 |
| 13 | Qwen 2 VL 2B | 96.6 |
| 14 | Pixtral-12B | 96.6 |
| 15 | Moonshot v1 8K | 96.6 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-a-bench-minor-object-recognition · How It Works · Data refreshed daily, snapshot 2026-09-19.