Models / π

π0 (pi-zero)

Physical Intelligence · Oct 2024 · Apache-2.0 (openpi)

Flow-matching vision-language-action model producing 50 Hz action chunks. Trained on 10k+ hours across 7 robot platforms and 68 tasks; folds laundry, bags groceries and assembles boxes end to end.

Success rate
82%
Downloads
88K
Control rate
50 Hz
Training episodes
900K

Benchmarks

Numbers as reported by the authors on the named evaluation suite.

EvaluationSuiteScore

Laundry folding (out of dryer)

PI real-world75%task progress

Zero-shot task battery

PI eval (20 tasks)82%avg score

vs OpenVLA / Octo

Matched real-robot eval2x avg score

Training

Architecture

Flow-matching VLA (PaliGemma + action expert)

Parameters

3.3B

Hardware

Large A100/H100 cluster

Compute

45K accelerator-hours

Training data hours

10K h

Training episodes

900K

Recipe

VLM pre-training then flow-matching action expert; post-training on high-quality task-specific data for dexterous behaviours.

Fine-tuning notes

Post-training on 1-5 h of task data beats training from scratch on 50 h.

Linked datasets, robots & papers

Resolving related models, datasets and papers…