Download App
Follow Us
  • Facebook
  • YouTube
  • Instagram
  • TikTok
  • X

Deepal Officially Rolls Off Production Line of 1 Millionth Complete Vehicle

2026-09-28 17:40:02
CharBlog
0 Fans   92 Following   4 Posts

Gasgoo learned that on September 28, Deepal officially announced, the 1 millionth Deepal complete vehicle has officially entered mass production and rolled off the assembly line. This milestone coincided with the launch of the all-new Deepal S07 AI Laser version, which is positioned as a "long-range AI laser smart SUV", deeply co-created by Deepal and Volcano Engine focusing on the Doubao large model and smart cockpit.

Image Source: Deepal

Deepal Chairman Deng Chenghao previewed this milestone in advance on September 26, and stated "Thank you to 1 million users for walking with you". According to official data, Deepal's global sales in August were 28,659 units, cumulative global sales from January to August reached 222,028 units, a year-on-year increase of 11.77%; by the end of August, cumulative global sales had exceeded 947,600 units. In terms of overseas markets, Deepal's cumulative overseas sales reached 52,647 units, a year-on-year increase of 76.98%, Thailand Rayong factory has commenced production, Phase I design annual capacity is 100,000 units.

The Deepal brand started when Changan Automobile launched the "Deepal" new energy brand in January 2022, the first model SL03 was launched in July of the same year. In December 2024, Deepal achieved a leap from 0 to 400,000 units in 29 months. In the field of core technologies, Deepal's self-developed Super Power Integrated Drive system welcomed its 1 millionth roll-off in March 2026, the new generation system assembly operating efficiency reached 94.13%.

Deng Chenghao pointed out during the 2026 World New Energy Vehicle Conference that the elimination race in the new energy vehicle industry is imminent, "single point breakthrough is ineffective, system capability is the key", annual sales of 3 million units is only the "foundation for survival".

Related Models
Feedback