OpenVLM SEEDBench IMG - Scene Understanding: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 226 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-8B | 80.7 |
| 2 | Llama 3.2 90B Vision Instruct | 80.7 |
| 3 | GPT-4.1 (2025-04-14) | 80.6 |
| 4 | Grok 2 (1212) | 80.3 |
| 5 | InternVL2-8B | 80.2 |
| 6 | InternVL3-14B | 80.2 |
| 7 | GPT-4.1 Mini | 80.1 |
| 8 | InternVL3-78B | 79.9 |
| 9 | Qwen 2 VL 7B | 79.8 |
| 10 | Qwen 2 VL 72B | 79.7 |
| 11 | Gemini 1.5 Pro | 79.7 |
| 12 | Moonshot v1 8K | 79.6 |
| 13 | Claude 3.5 Sonnet | 79.5 |
| 14 | Claude 3.7 Sonnet | 79 |
| 15 | GPT-4.1 Nano | 78.7 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-seedbench-img-scene-understanding · How It Works · Data refreshed daily, snapshot 2026-09-19.