LongCat-2.0 v2.0
Open Source
Large Language Model
Open Source
LongCat-2.0 is a next-generation, trillion-parameter Mixture of Experts (MoE) large language model specifically engineered for agentic coding and complex task execution. It features a native 1-million-token context window and is the first model of its scale to be trained and deployed entirely on a domestic (Chinese) AI ASIC supercomputing cluster.
1.6 Trillion parameters with dynamic MoE activation (33B–56B per token)
Native 1-million-token long context window using LongCat Sparse Attention (LSA)
Purpose-built for agentic coding and automated task execution