OpenVLM CCBench - Scenery and Buildings: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 228 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 (2025-04-14) | 94.7 |
| 2 | Qwen 2 VL 72B | 88.4 |
| 3 | InternVL3-78B | 84.2 |
| 4 | GPT-4.1 Mini | 82.1 |
| 5 | Qwen 2 VL 7B | 77.9 |
| 6 | InternVL3-8B | 76.8 |
| 7 | InternVL2-8B | 76.8 |
| 8 | Claude 3.5 Sonnet (20241022) | 74.7 |
| 9 | Moonshot v1 8K | 72.6 |
| 10 | InternVL3-14B | 70.5 |
| 11 | Llama 3.2 90B Vision Instruct | 70.5 |
| 12 | Grok 2 (1212) | 69.5 |
| 13 | Claude 3.5 Sonnet | 68.4 |
| 14 | Claude 3.7 Sonnet | 67.4 |
| 15 | Gemini 1.0 Pro | 65.3 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-ccbench-scenery-and-buildings · How It Works · Data refreshed daily, snapshot 2026-09-19.