MEGA-Bench Task - FUNSD Document QA: leaderboard

The "FUNSD Document QA" 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 72B92.9#460
2Claude 3.5 Sonnet (20240620)85.7#299
3Qwen 2 VL 7B85.7#750
4InternVL3-14B85.7#505
5Qwen 2 VL 2B85.7#1220
6GLM-4.1V-9B (Thinking)85.7#472 (GLM-4.1V-9B)
7GPT-4o78.6#343
8Claude 3.5 Sonnet (20241022)78.6#291
9InternVL3-8B78.6#620
10InternVL3-38B78.6#405
11Gemini 2.5 Pro (Preview 03-25)78.6#123
12InternVL2.5-78B78.6#431
13Gemini 2.0 Flash (Preview)78.6#370
14Gemma 3 27B (IT)71.4#523
15GPT-4o Mini71.4#599

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-funsd-document-qa · How It Works · Data refreshed daily, snapshot 2026-10-20.