LongCat-2.0 is an MIT-licensed 1.6T-parameter MoE model with ~48B active parameters, 1M context, LongCat Sparse Attention, and post-training for coding and agentic workflows. It was trained on AI ASIC superpods and integrates with Claude Code, OpenClaw, and Hermes.
LongCat-2.0 is an MIT-licensed 1.6 trillion parameter mixture of experts model with approximately 48 billion active parameters and a 1 million context window. It was trained on AI ASIC superpods and supports integration with Claude Code, OpenClaw, and Hermes for coding and agentic workflows.