MEGA-Bench Task - Autorater Unmask: leaderboard

The "Autorater Unmask" 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
1GPT-4o71.4#343
2Claude 3.5 Sonnet (20241022)71.4#291
3InternVL3-38B71.4#405
4Gemini 2.5 Pro (Preview 03-25)64.3#123
5Gemini 1.5 Pro (002)57.1#349
6Gemini 1.5 Flash (002)57.1#583
7Gemini 2.0 Flash (Preview)57.1#370
8Qwen 2 VL 72B50#460
9GPT-4o Mini42.9#599
10Claude 3.5 Sonnet (20240620)42.9#299
11Aquila-VL-2B42.9#1238
12Gemma 3 27B (IT)35.7#523
13Gemma 3 4B (IT)35.7#992
14MiniCPM-V-2.635.7#836
15InternVL3-78B28.6#352

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-autorater-unmask · How It Works · Data refreshed daily, snapshot 2026-10-20.