MEGA-Bench Task - ASCII Art Understanding: leaderboard

The "ASCII Art Understanding" 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: Not forecast. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.0 Flash (Preview)71.4#370
2GPT-4o64.3#343
3GPT-4o Mini64.3#599
4Gemini 1.5 Flash (002)64.3#583
5Gemini 2.5 Pro (Preview 03-25)64.3#123
6Aquila-VL-2B64.3#1238
7Qwen 2 VL 72B57.1#460
8InternVL2.5-78B57.1#431
9Gemma 3 4B (IT)50#992
10Qwen 2 VL 2B50#1220
11GLM-4.1V-9B (Thinking)50#472 (GLM-4.1V-9B)
12Gemma 3 12B (IT)42.9#664
13InternVL3-78B42.9#352
14MiniCPM-V-2.642.9#836
15Pixtral-12B42.9#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-ascii-art-understanding · How It Works · Data refreshed daily, snapshot 2026-10-20.