MEGA-Bench Task - Game Info Parsing: leaderboard

The "Game Info Parsing" 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
1Claude 3.5 Sonnet (20241022)94.8#291
2Gemini 2.5 Pro (Preview 03-25)94.8#123
3Qwen 2 VL 72B94.8#460
4Claude 3.5 Sonnet (20240620)94.2#299
5InternVL3-78B92.9#352
6Gemini 2.0 Flash (Preview)92.9#370
7InternVL3-38B91.6#405
8InternVL2.5-78B91.6#431
9InternVL3-8B90.9#620
10InternVL3-14B90.3#505
11Gemma 3 27B (IT)89.6#523
12GLM-4.1V-9B (Thinking)89#472 (GLM-4.1V-9B)
13GPT-4o87.7#343
14Qwen 2 VL 7B87.7#750
15Llama 4 Scout Base87#707

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