MEGA-Bench Task - Autorater Semantics: leaderboard

The "Autorater Semantics" 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
1InternVL3-78B100#352
2Gemini 2.5 Pro (Preview 03-25)100#123
3Gemini 1.5 Pro (002)92.9#349
4Claude 3.5 Sonnet (20240620)92.9#299
5Gemini 2.0 Flash (Preview)92.9#370
6GPT-4o85.7#343
7Gemma 3 27B (IT)85.7#523
8Claude 3.5 Sonnet (20241022)85.7#291
9Gemini 1.5 Flash (002)85.7#583
10InternVL3-38B85.7#405
11Qwen 2 VL 72B85.7#460
12InternVL2.5-78B85.7#431
13GPT-4o Mini78.6#599
14InternVL3-14B78.6#505
15GLM-4.1V-9B (Thinking)78.6#472 (GLM-4.1V-9B)

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