MEGA-Bench Task - Mindmap Elements Parsing: leaderboard

The "Mindmap Elements 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: Around January 2027. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)57.1#123
2InternVL3-78B42.9#352
3GPT-4o35.7#343
4Claude 3.5 Sonnet (20241022)35.7#291
5InternVL2.5-78B35.7#431
6Gemini 2.0 Flash (Preview)35.7#370
7InternVL3-8B28.6#620
8Claude 3.5 Sonnet (20240620)28.6#299
9InternVL3-38B28.6#405
10InternVL2-8B28.6#817
11InternVL3-14B28.6#505
12Qwen 2 VL 72B28.6#460
13GLM-4.1V-9B (Thinking)28.6#472 (GLM-4.1V-9B)
14GPT-4o Mini21.4#599
15Gemini 1.5 Pro (002)21.4#349

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