Best AI for tabular data & spreadsheets

Everyone who's pasted a spreadsheet into an LLM knows the failure mode: the model confidently returns a number from the wrong row, miscounts columns, or hallucinates a value from an adjacent cell. Tabular comprehension is one of the most practically important capabilities, and one of the least benchmarked.

Our test uses three escalating prompts: a clean 15-row CSV with multi-step arithmetic questions, a messy markdown table with ambiguity traps (two employees with the same name but different IDs, mixed date formats, a false alarm row that should be excluded), and a cross-reference task requiring joins across two related tables. Every question has a single unambiguous correct answer verified against ground truth.

The results are surprising. Budget models like Qwen3.5-9B ($0.15/MTok) and DeepSeek V4 Flash ($0.28) score a perfect 5/5, matching frontier models costing 100× more. The real differentiation comes on the cross-reference prompt — mid-tier models that ace the first two prompts start making arithmetic errors when they need to join tables and aggregate across them. If your use case involves pasting CSVs or financial reports into an LLM, this benchmark tells you exactly which models you can trust.

The best AI for tabular data & spreadsheets changes every month.

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