MEGA-Bench Task - Functionality Matching In Different Objects: leaderboard
Metric: Task Score (%). Source: huggingface.co. 44 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-38B | 78.6 |
| 2 | Gemini 1.5 Pro (002) | 71.4 |
| 3 | Gemini 2.5 Pro (Preview 03-25) | 67.9 |
| 4 | GPT-4o | 64.3 |
| 5 | InternVL3-78B | 60.7 |
| 6 | Claude 3.5 Sonnet (20241022) | 57.1 |
| 7 | Gemma 3 27B (IT) | 53.6 |
| 8 | Qwen 2 VL 72B | 53.6 |
| 9 | Claude 3.5 Sonnet (20240620) | 53.6 |
| 10 | Gemini 1.5 Flash (002) | 46.4 |
| 11 | InternVL2.5-78B | 42.9 |
| 12 | InternVL3-8B | 39.3 |
| 13 | Gemma 3 12B (IT) | 35.7 |
| 14 | GPT-4o Mini | 35.7 |
| 15 | Pixtral-12B | 35.7 |
Interactive version: theaggregate.ai/benchmark?slug=mega-bench-task-functionality-matching-in-different-objects · How It Works · Data refreshed daily, snapshot 2026-09-05.