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Meituan Releases LongCat-2.0, a 1.6 Trillion Parameter Coding Model
Meituan has open-sourced LongCat-2.0, a 1.6-trillion-parameter Mixture-of-Experts model designed for agentic coding. It activates approximately 48 billion parameters per token and boasts a 1-million-token context window. Remarkably, LongCat-2.0 was trained and served entirely on Chinese-made Ascend chips, without any Nvidia hardware.
Why it matters
This release provides a near-frontier agentic coding model under an MIT license, significantly reducing per-token costs and removing vendor lock-in for developers. Its large context window allows reasoning over entire code repositories, making advanced agentic workflows more feasible and cost-effective.
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