Models

Meet TabPFN-3

The tabular foundation model for state-of-the-art predictions on structured data.

TabPFN-3 by the numbers

Average accuracy across 51 OpenML datasets
Default
Tuned (4 hours)
Tuned + Ensembled (4 hours)

93% win rate over classic ML

On TabArena, leading benchmark for structured data tasks

0.2s for predictions on 1M samples

Fast inference for real-world predictive workflows

+420 ELO with thinking mode

TabPFN-3-Plus with Thinking mode beats AutoML in 80% of the cases

Testimonials

Hitachi is committed to advancing predictive maintenance across our rail networks. Working with Prior Labs and TabPFN helps us accelerate our use of data for reliability and safety while reducing operational overhead.

Isabel Ferrando

Complex lung diseases are one of the most challenging areas in medicine. TabPFN allows us to detect across the broad range of the proteome to deliver actionable clinical innformation with greater efficiency, helping us push the boundaries of liquid biopsy and improve diagnostic accuracy at scale.

Simon Meier

Truly incredible work from PriorLabs with the TabPFN-2.5 release! The results are beyond my expectations. I wasn't sure if it was possible for a single model to compete with AutoGluon 1.4, but today I was pleasantly surprised!

Nick Erickson

Using TabPFN for crop yield forecasting will be a game changer. TabPFN gives benchmark performance in a matter of seconds whereas traditional tree-based and kernel-based methods can take up to several days. This is an incredible speed up that will ease operations and allow more efficient forecasting.

Filip Sabo

Accurately classifying cancer patients and healthy individuals based on the distribution of immune cells in the peripheral blood was a remarkably challenging task — TabPFN made it a reality.

Michael Goldberg

I just plugged it into my Google Sheets and it instantly classifies transactions - what you are doing is very powerful!

Benjamin Lalanne

One model for every prediction task

Churn, fraud, pricing, demand forecasting. Serve all use-cases with one model.

Works with your data as is

Missing values, outliers, categoricals, multi-table datasets. Feed raw data and skip feature engineering.

Predictions in seconds, not months

Skip pre-processing and model tuning, and get production-grade predictions from your first predict call.

Built for production-scale datasets

From world-class research to production-ready system. Now handling up to 1M rows natively.

Fast inference

20x faster inference speed than previous model versions and up to 1000x faster inference at scale.

Image howing priolabs ability to integrate with aws, nvidia, and other cloud computing platformsImage howing priolabs ability to integrate with aws, nvidia, and other cloud computing platforms

Deploy anywhere.
Keep control of your data.