03Benchmark · updated 9 November 2026
Which AI model is best for business assignments?
Models compared head to head on business tasks, expressed as an ELO score.
How to read it
- Each bar is one model. The test consists of 91 tasks from four projects lasting several weeks, such as data science, product management, banking operations and strategy for heavy industry.
- For each task the model gets many source files and has to deliver an end product, such as a spreadsheet, a presentation or a memo. That is real knowledge work, not a quiz question.
- The result is judged in three ways: with a checklist (is the right information used and are the conclusions correct) and with two comparisons against another model's work: who works more thoroughly and sharply, and who delivers the more professional result.
- The ELO score combines those three. ELO works like a chess rating: whoever wins more often rises. Higher is better.
- Point at a bar for the upper and lower bound. If two models overlap, they are practically equally good.
What it means for you
Small score differences say little. Look at the margins: when two models are close, price, speed and where your data is stored decide.
More benchmarks
Also take a look at the other benchmarks
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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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