OpenVLM SEEDBench IMG - Text Understanding: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 226 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 VL 72B | 79.8 |
| 2 | InternVL3-78B | 75 |
| 3 | Qwen 2 VL 7B | 75 |
| 4 | InternVL2-8B | 75 |
| 5 | InternVL3-8B | 73.8 |
| 6 | Llama 3.2 90B Vision Instruct | 72.6 |
| 7 | Llama 3.2 11B Instruct | 71.4 |
| 8 | GPT-4.1 Mini | 70.2 |
| 9 | GPT-4.1 (2025-04-14) | 70.2 |
| 10 | InternVL3-14B | 69 |
| 11 | Grok 2 (1212) | 63.1 |
| 12 | Moonshot v1 8K | 61.9 |
| 13 | GPT-4.1 Nano | 60.7 |
| 14 | Claude 3.7 Sonnet | 57.1 |
| 15 | Qwen 2 VL 2B | 54.8 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-seedbench-img-text-understanding · How It Works · Data refreshed daily, snapshot 2026-09-19.