MEGA-Bench Task - Game Info Retrieval: leaderboard

The "Game Info Retrieval" 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)71.4#123
2GPT-4o64.3#343
3GLM-4.1V-9B (Thinking)64.3#472 (GLM-4.1V-9B)
4Gemini 1.5 Pro (002)57.1#349
5Claude 3.5 Sonnet (20240620)57.1#299
6Gemini 2.0 Flash (Preview)57.1#370
7GPT-4o Mini50#599
8Claude 3.5 Sonnet (20241022)50#291
9Gemma 3 12B (IT)42.9#664
10Gemma 3 27B (IT)35.7#523
11Gemma 3 4B (IT)35.7#992
12Gemini 1.5 Flash (002)35.7#583
13InternVL3-78B35.7#352
14Qwen 2 VL 72B35.7#460
15Pixtral-12B35.7#808

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-game-info-retrieval · How It Works · Data refreshed daily, snapshot 2026-10-20.