The model uses a mixture-of-experts architecture with 1.6 trillion total parameters and about 48 billion active per token. The official API documentation describes a roughly one-million-token context and provides compatible interfaces for established agent clients.
Developers can connect LongCat-2.5 to a coding harness for multi-step engineering workflows. Its ability to use visual references alongside code context is useful when the implementation needs to follow screenshots, layouts or other visual specifications.
