LongCat-2.0: A 1.6T-Parameter MoE Model Built for Agentic Coding, Now on OpenRouter

Meituan LongCat ·

Key Info

LongCat-2.0 is a 1.6T-parameter mixture-of-experts model with roughly 48B active parameters and 1M-token context support, built specifically for agentic coding. It is the full model behind Owl Alpha and is now available on OpenRouter.

Highlights

  • Efficient long-context design: LongCat Sparse Attention (LSA) scales effectively to 1M-token contexts.
  • Zero wasted compute: Dynamic expert activation ranges from 33B to 56B per token, avoiding unnecessary computation.
  • Task-routed experts: MOPD uses three specialized expert groups — Agent, Reasoning, and Interaction — gated per task.
  • Strong benchmark showing: Scores 70.8 on Terminal-Bench 2.1, with SWE-bench results also reported.
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