China’s Meituan says its new AI model was trained on domestic chips

LongCat-2.0, a 1.6-trillion-parameter model, is the first of its size to be trained end-to-end on home-grown silicon, the company says, in a pointed answer to US export controls.

The most striking claim about Meituan’s new artificial intelligence model is not how large it is, though it is large, but what it ran on.

The Chinese delivery-and-services giant launched LongCat-2.0 on Tuesday and said it was the first model of its scale to be trained entirely on domestically developed chips, a milestone aimed squarely at the export controls Washington has used to keep its best silicon out of Chinese hands.

The specifications are serious. LongCat-2.0 carries 1.6 trillion parameters and a context window of one million tokens, and Meituan says its performance is comparable to Google’s Gemini 3.1 Pro, released in February.

The company describes it as “the industry’s first trillion-parameter model to complete end-to-end training and inference on a 50,000-chip domestic compute cluster.”