Chinese DoorDash rival smashes open source record with 1.6-trillion-parameter LLM with a 1-million-context-token model…

• LongCat-2.0 contains 1.6 trillion parameters and a million-token context
• Meituan trained the model using over 50,000 domestic AI accelerators
• The model completed pre-training entirely without any Nvidia hardware involved

Meituan has released LongCat-2.0, an open source large language model containing 1.6 trillion parameters and supporting a 1 million-token context window.

This scale places the model roughly on par with DeepSeek's flagship V4-pro, which launched back in April this year.

Meituan says LongCat-2.0 completed full process training on a computing cluster containing more than 50,000 domestic AI accelerators, making it the first trillion-parameter model to achieve that scale.

Domestic hardware reaches a new training milestone

The announcement comes as China continues expanding domestic computing capabilities amid export restrictions limiting access to advanced United States graphics processors.

Unlike DeepSeek V4-pro, which relied on Chinese chips only during inference, LongCat-2.0 also completed the far more demanding pre-training stage using domestic hardware.

This...

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