04Benchmark · updated 9 November 2026
Which AI model gets figures out of your spreadsheets and Excel documents best?
How reliably a model processes figures from spreadsheets and documents, set against what one task costs on average.
How to read it
- Each dot is one model. The test consists of 80 questions like a data analyst gets every day: pulling numbers out of Excel files and giving an exact answer.
- The higher the dot, the more reliable the model. Every question was asked five times and only counts if all five answers are correct.
- The further left, the lower the average cost per task. That is what the model costs in total to answer one question, including all the steps along the way.
- The model with the best value for money is highlighted.
- Drag a box across the chart to zoom in. Double-click or the "Herstel" (reset) button resets it.
What it means for you
For work with numbers, such as reporting, controlling and invoices, what matters most is that a model gets it right every time, not now and then. It remains a test: always try it with your own files first.
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A benchmark does not choose a model for you. We do.
Which model is best depends on your work, your data and what it may cost per month. In an AI Partnership we choose per use case, and switch when a better model comes out.
More on how we approach that: the AI Partnership.
Free to use: all benchmarks are licensed under CC BY 4.0. Reuse or quote them, crediting: NinA AI Benchmarks, nina-ai.nl/benchmarks.
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