OpenVLM A-Bench - Object Counting: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 Mini | 89.8 |
| 2 | Qwen 2 VL 72B | 85.7 |
| 3 | InternVL3-14B | 85.7 |
| 4 | Claude 3.7 Sonnet | 85.7 |
| 5 | GPT-4.1 (2025-04-14) | 81.6 |
| 6 | InternVL3-78B | 81.6 |
| 7 | Qwen 2 VL 7B | 79.6 |
| 8 | Pixtral-12B | 79.6 |
| 9 | Grok 2 (1212) | 79.6 |
| 10 | Qwen 2 VL 2B | 77.6 |
| 11 | Llama 3.2 11B Instruct | 77.6 |
| 12 | Gemini 1.5 Flash | 77.6 |
| 13 | InternVL3-8B | 75.5 |
| 14 | Gemini 1.5 Pro | 75.5 |
| 15 | Gemma 3 27B | 73.5 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-a-bench-object-counting · How It Works · Data refreshed daily, snapshot 2026-09-19.