Meituan trains a 1.6 trillion parameter AI model entirely on Chinese chips, no Nvidia required.

LongCat-2.0 boasts 1.6 trillion parameters and a million-token context window, on par with DeepSeek’s latest flagship model.

LongCat-2.0 boasts 1.6 trillion parameters and a million-token context window, on par with DeepSeek’s latest flagship model.

Meituan open sources LongCat-2.0, a 1.6 trillion parameter MoE coding model trained on 50,000 Chinese chips with a 1 million token context window.

Chinese tech giant Meituan has unveiled LongCat-2.0, a new AI model comparable to Google's Gemini 3.1 pro. This marks a significant achievement as it's reportedly the first…

Meituan says the performance of its new large language model, LongCat-2.0, is comparable to Google's Gemini 3.1 Pro, which was released in February.

China achieves a breakthrough in AI development as Meituan unveils LongCat-2.0, the nation's largest model trained entirely on domestically-produced chips.

Meituan’s LongCat-2.0, a 1.6-trillion-parameter model, is the first of its size trained end-to-end on a 50,000-chip domestic cluster, China says, amid US export curbs.

Meituan trains a 1.6 trillion parameter AI model entirely on Chinese chips, no Nvidia required.

China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips - SiliconANGLE

Meituan ha presentato LongCat-2.0, un modello di intelligenza artificiale da 1,6 trilioni di parametri che, secondo l'azienda, � stato addestrato e viene eseguito interamente su…

Meituan's LongCat-2.0 model scores 59.5 on SWE-bench Pro, beating GPT-5.5, while pricing API access at $0.75 per million input tokens under an open-source