Standard LLMs struggle to analyze structured data once tables exceed a small size. New Large Tabular Models solve this by processing spreadsheets and transaction logs directly. These models bypass the reasoning errors common in ChatGPT and Gemini. Practitioners can now automate complex data analysis without relying on fragile prompt-based table parsing.