MEGA-Bench Task - Table Understanding Complex Question Answering: leaderboard

The "Table Understanding Complex Question Answering" 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
1GPT-4o78.6#343
2Claude 3.5 Sonnet (20240620)71.4#299
3Gemini 2.5 Pro (Preview 03-25)71.4#123
4Claude 3.5 Sonnet (20241022)57.1#291
5GLM-4.1V-9B (Thinking)57.1#472 (GLM-4.1V-9B)
6Gemini 2.0 Flash (Preview)57.1#370
7Qwen 2 VL 72B50#460
8Llama 4 Scout Base50#707
9Gemini 1.5 Pro (002)42.9#349
10MiniCPM-V-2.642.9#836
11Qwen 2 VL 7B42.9#750
12InternVL3-14B42.9#505
13Gemma 3 27B (IT)35.7#523
14Gemma 3 12B (IT)35.7#664
15GPT-4o Mini35.7#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-table-understanding-complex-question-answering · How It Works · Data refreshed daily, snapshot 2026-10-20.