TableVista - Complex Structure: leaderboard

Metric: Accuracy (%) on the 1,000 complex tables (multi-level headers, merged cells) of the 3,000 TableVista questions, Web rendering, direct-output prompt with thinking disabled (reasoning effort none for the GPT models), exact match with a GPT-5-mini semantic-equivalence check on exact-match failures; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 29 models tracked.

Top models

#ModelScore
1GPT-5.4 (Non-reasoning)81.7
2Qwen 2.5 VL 72B Instruct59.7
3GPT-5.4 Mini (Non-reasoning)59.3
4Gemma 4 31B (IT)57.6
5Llama 4 Maverick Instruct FP855.9
6Qwen 2.5 VL 32B Instruct54.5
7Qwen 3.5 27B (Non-reasoning)53
8Qwen 3.5 122B A10B (Non-reasoning)52.2
9Gemma 4 26B A4B (IT)50.1
10Llama 4 Scout Instruct49.6
11Qwen 2.5 VL 7B Instruct47.5
12Qwen 3 VL 30B A3B Instruct46.8
13Molmo2-8B45.2
14Gemma 3 27B (IT)44.6
15Qwen 3 VL 8B Instruct44.1

Interactive version: theaggregate.ai/benchmark?slug=tablevista-complex-structure · How It Works · Data refreshed daily, snapshot 2026-10-07.