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Xpeng announced the model this week with university partners.

It says it placed first across 34 perception at 73.68, against 71.54 for GPT-6 Astra, though those are its own numbers.

The have been on since October 1st under . The car maker's interest is the fast perception layer for robots, with less demonstration data needed.
Xpeng puts its name on GroundingPI, an open 4-billion-parameter perception model
Xpeng announced the model this week with university partners. It says it placed first across 34 perception benchmarks at 73.68, against 71.54 for GPT-6 Astra, though those are its own numbers. The weights have been on Hugging Face since October 1st under Apache 2.0. The car maker's interest is the fast perception layer for robots, with less demonstration data needed. SourcesBA
Sources
- BXpeng unveils GroundingPI pre-trained model (CnEVPost)cnevpost.com
- Agroundingpi/GroundingPI (GitHub)github.com
This story ran in the Morning Brief of November 4th 2026.