MEGA-Bench Task - 3D Fragments Understanding: leaderboard

The "3D Fragments Understanding" subtask of MEGA-Bench Task. A single task from MEGA-Bench, a large-scale multimodal evaluation suite that scores vision-language models across 500+ real-world tasks spanning perception, reasoning, OCR, charts, documents, and multi-image understanding.

Metric: Task Score (%). Source: huggingface.co. Saturation forecast: Around January 2027. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)42.9#123
2Gemini 2.0 Flash (Preview)42.9#370
3Gemini 1.5 Pro (002)28.6#349
4Gemini 1.5 Flash (002)28.6#583
5InternVL3-38B28.6#405
6InternVL3-78B28.6#352
7GPT-4o21.4#343
8Qwen 2 VL 72B21.4#460
9Claude 3.5 Sonnet (20241022)14.3#291
10MiniCPM-V-2.614.3#836
11InternVL3-14B14.3#505
12Pixtral-12B14.3#808
13GLM-4.1V-9B (Thinking)14.3#472 (GLM-4.1V-9B)
14Gemma 3 27B (IT)7.1#523
15InternVL3-8B7.1#620

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=mega-bench-task-3d-fragments-understanding · How It Works · Data refreshed daily, snapshot 2026-10-20.