MEGA-Bench Task - Visual Prediction Rater Depth Estimation — leaderboard
Metric: Task Score (%). Source: huggingface.co. 44 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Pro | 78.6 |
| 2 | GPT-4o | 73.8 |
| 3 | Gemini 1.5 Pro (002) | 66.7 |
| 4 | Gemini 2.0 Flash (Preview) | 61.9 |
| 5 | Claude 3.5 Sonnet (20241022) | 59.5 |
| 6 | Claude 3.5 Sonnet (20240620) | 47.6 |
| 7 | InternVL3-78B | 45.2 |
| 8 | Gemma 3 27B (IT) | 42.9 |
| 9 | InternVL3-38B | 38.1 |
| 10 | Llama 4 Scout Base | 32.1 |
| 11 | InternVL2.5-78B | 31 |
| 12 | Qwen 2 VL 72B | 28.6 |
| 13 | Aquila-VL-2B | 28.6 |
| 14 | Gemma 3 4B (IT) | 23.8 |
| 15 | MiniCPM-V-2.6 | 21.4 |
Interactive version: theaggregate.ai/benchmark?slug=mega-bench-task-visual-prediction-rater-depth-estimation · How the rankings work · Data refreshed daily, snapshot 2026-07-22.