@Meituan_LongCat
Introducing LongCat-2.0 ๐ฑ 1.6T parameters ยท MoE with ~48B active ยท 1M context The full model behind Owl Alpha on @OpenRouter โ now available. Built for agentic coding from the ground up: โ LongCat Sparse Attention (LSA) โ scales efficiently for 1M-context tokens โ Zero-Compute Experts โ dynamic activation 33Bโ56B per token, zero wasted compute โ MOPD โ three specialized expert groups (Agent / Reasoning / Interaction), gate-routed per task How it stacks up: โ Terminal-Bench 2.1: 70.8 โ SWE-bench Pro: 59.5 (GPT-5.5: 58.6) โ SWE-bench Multilingual: 77.3 โ FORTE: 73.2 ยท RWSearch: 78.8 ยท BrowseComp: 79.9 ๐ Tech Blog: https://t.co/4KrjyKiDBn Try it across different scenarios ๐งต๐