MEGA-Bench Task - Multilingual Game Info Parsing: leaderboard

The "Multilingual 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
1Qwen 2 VL 72B88.4#460
2Gemini 2.5 Pro (Preview 03-25)85.7#123
3GPT-4o83#343
4Claude 3.5 Sonnet (20240620)83#299
5InternVL3-38B80.4#405
6GPT-4o Mini78.6#599
7Gemini 2.0 Flash (Preview)78.6#370
8InternVL2.5-78B77.7#431
9Qwen 2 VL 7B74.1#750
10InternVL3-8B73.2#620
11InternVL3-14B73.2#505
12Claude 3.5 Sonnet (20241022)68.8#291
13InternVL3-78B67.9#352
14Gemma 3 12B (IT)67#664
15GLM-4.1V-9B (Thinking)66.1#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-multilingual-game-info-parsing · How It Works · Data refreshed daily, snapshot 2026-10-20.