MEGA-Bench Task - Table Understanding FeTaQA: leaderboard

The "Table Understanding FeTaQA" 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
1Claude 3.5 Sonnet (20241022)77.9#291
2Claude 3.5 Sonnet (20240620)70.7#299
3GPT-4o67.9#343
4Gemini 2.5 Pro (Preview 03-25)63.6#123
5GLM-4.1V-9B (Thinking)63.6#472 (GLM-4.1V-9B)
6Qwen 2 VL 72B62.9#460
7InternVL2.5-78B61.4#431
8InternVL3-38B60.7#405
9Qwen 2 VL 7B60.7#750
10GPT-4o Mini60#599
11Gemini 2.0 Flash (Preview)59.3#370
12Gemma 3 27B (IT)58.6#523
13InternVL3-8B58.6#620
14Gemma 3 4B (IT)53.6#992
15Gemini 1.5 Pro (002)52.9#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-table-understanding-fetaqa · How It Works · Data refreshed daily, snapshot 2026-10-20.