Meet TabPFN-3
The tabular foundation model for state-of-the-art predictions on structured data.
TabPFN-3 by the numbers
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.
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.
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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!
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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.
We are very enthusiastic about TabPFN’s potential to improve patient outcomes and hope that further development will enable it to be rolled out across the NHS.
With TabPFN, we’re able to move faster, predict better, and rely less on manual modeling. It’s a step toward true automation in marketing forecasting.
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.
Deploy anywhere.
Keep control of your data.
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