Xpeng Beats OpenAI on Perception Benchmarks with 4-Billion-Parameter GroundingPI

Electric vehicle maker Xpeng has launched an embodied perception foundation model named GroundingPI, reporting an overall benchmark score that surpassed OpenAI’s frontier model GPT-6 Astra across 34 public perception tests. Built on a parameter scale of about 4 billion, the perception-first architecture ranked first in comprehensive evaluations and demonstrated higher data processing efficiency in robot simulation tasks. Xpeng developed the model in partnership with research teams from Peking University and the University of Hong Kong, aiming to significantly reduce the cost of manually collecting robot demonstration data. In a direct comparison across 11 capability categories, GroundingPI recorded a score of 73.68, edging out the 71.54 achieved by GPT-6 Astra, which OpenAI released in September this year. The code and model weights have been open-sourced.