LongCat
Open foundation models for long-context reasoning, agentic coding, and scalable AI systems.
Meituan's LongCat family of large language models, including its sparse mixture-of-experts releases such as LongCat-Flash-Chat and LongCat-2.0.
Pricing
Model Intelligence
Recent stories
Meituan released LongCat-2.5 through an API, with 1.6T total parameters and about 48B active. Launch materials describe agentic reinforcement learning, KV-cache reuse and interactive coding demos.
Meituan released LongCat-2.0 weights and inference code under MIT, with Hugging Face, GitHub, ModelScope, GPU, and NPU paths. Analysts noted the ~48B-active MoE keeps attention shape while reducing zero-communication experts from 256 to 128.
Meituan disclosed LongCat 2.0, a 1.6T-parameter MoE with about 48B active parameters, 1M context, and 35T training tokens on domestic hardware. The release ties a near-frontier open model to a Chinese domestic compute stack and a custom sparse-attention design.