MEGA-Bench Task - Visual Prediction Rater Surface Normal Estimation: leaderboard

The "Visual Prediction Rater Surface Normal Estimation" 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: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)90.5#123
2Gemini 1.5 Pro (002)81#349
3InternVL3-38B73.8#405
4Gemini 2.0 Flash (Preview)69#370
5Claude 3.5 Sonnet (20241022)66.7#291
6InternVL3-78B66.7#352
7GLM-4.1V-9B (Thinking)59.5#472 (GLM-4.1V-9B)
8GPT-4o57.1#343
9Claude 3.5 Sonnet (20240620)57.1#299
10InternVL2.5-78B54.8#431
11Gemma 3 27B (IT)42.9#523
12Gemini 1.5 Flash (002)33.3#583
13Aquila-VL-2B26.2#1238
14InternVL3-14B23.8#505
15Qwen 2 VL 72B16.7#460

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-visual-prediction-rater-surface-normal-estimation · How It Works · Data refreshed daily, snapshot 2026-10-20.