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

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.