He Xiaopeng, chairman and CEO of XPeng, unveiled the company's 2025 G6 and G9 auto models. [Photo provided to chinadaily.com.cn]
Chinese electric vehicle company, XPeng Motors, unveiled its 2025 G6 and G9 auto models on Thursday, as it bets on autonomous driving and fast charging technologies to stand out amid intensified competition in the EV market.
The upgraded EVs, featuring ultra-fast charging and Turing AI autonomous driving technologies, signal a bold push to democratize premium smart EV innovations in the mainstream market.
The 2025 G6 and G9 debut as the industry's first mass-market EVs to adopt 5C ultra-fast charging as standard, a technology previously reserved for premium models priced between 400,000 to 500,000 yuan, XPeng said.
The company claimed that its 5C AI battery achieves a charging speed of 1 km per second, replenishing 450 km of range in just 10 minutes.
He Xiaopeng, chairman and CEO of XPeng, said: "With the 2025 G6 and G9, we're ushering in an era where 5C ultra-fast charging becomes mainstream for 200,000-300,000 yuan vehicles".
The new models also integrate XPeng's proprietary “Turing AI Autonomous Driving System," an end-to-end AI platform enabling "parking spot to parking spot" navigation across urban, highway, and parking scenarios. Unlike subscription-based rivals, the system comes standard at delivery, with a "navigation-free roaming" feature for campus zones set for future updates.
XPeng, now China's top-selling new energy vehicle startup for two consecutive months, is accelerating its global footprint. The brand currently operates in 30 overseas markets, with plans to expand to 60 countries and regions by 2025. Notably, it leads China's NEV export rankings in 2024 and will begin adapting its Turing system for Hong Kong's roads in 2025—a first for Chinese mainland automakers seeking remote parking certification.
He said XPeng continues to invest heavily in AI, targeting breakthroughs in embodied intelligence and large-language models. With over 4,000 patents (76 percent are invention-based) in core areas like chip algorithms and sensor fusion, the company aims to achieve global coverage of its autonomous driving tech by 2026-2027.
