MEGA-Bench Task - Autorater Subject: leaderboard

The "Autorater Subject" 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
2Qwen 2 VL 7B71.4#750
3GPT-4o Mini64.3#599
4Claude 3.5 Sonnet (20241022)64.3#291
5Gemini 1.5 Flash (002)64.3#583
6Gemini 2.5 Pro (Preview 03-25)64.3#123
7InternVL2.5-78B64.3#431
8Gemini 2.0 Flash (Preview)64.3#370
9Gemini 1.5 Pro (002)57.1#349
10InternVL3-78B57.1#352
11Qwen 2 VL 72B57.1#460
12GLM-4.1V-9B (Thinking)57.1#472 (GLM-4.1V-9B)
13Gemma 3 27B (IT)50#523
14Gemma 3 12B (IT)50#664
15InternVL3-8B50#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-autorater-subject · How It Works · Data refreshed daily, snapshot 2026-10-20.