07Benchmark · updated 9 November 2026
What is the best AI model for reading (long) PDF documents?
How often a model gets everything right on long documents, set against what one task costs on average.
How to read it
- Each dot is one model. The test consists of 100 tasks across ten fields. The model gets a long PDF document, such as a contract or an insurance claim, and an assignment. It is then judged on a list of concrete points.
- The higher the dot, the more often the model gets all points right. If it misses one, the attempt counts as failed. Every task was run five times.
- The further left, the lower the average cost per task.
- 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
A lot of client work consists of reading documents: contracts, policies, manuals and claims. Even the best model gets everything right in only about a third of attempts, so expect the result to need checking, even if it looks good. Also look at the price: models that score almost as well sometimes cost much less per task.
More benchmarks
Also take a look at the other benchmarks
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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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