LongCat-2.0 is now live on DGrid ⚡️ Built for real-world Agentic Coding: ▸ 1.6T parameters, ~48B activated ▸ Efficient 1M-token long-context inference ▸ LongCat Sparse Attention for faster long-context workflows ▸ N-gram Embedding + dynamic activation for stronger code understanding, generation, and execution ▸ Agent, reasoning, and interaction capabilities in one model ▸ Open weights with BF16 / FP8 / INT8 deployment options Excited to bring @Meituan_LongCat to more builders on DGrid. Build, route, and scale your agents with LongCat-2.0. #AI# #DGrid#

Longcat-2.0 vs GPT-5.5 (xhigh) Task: Generate a single self-contained HTML file for each of these 6 animations, no external libraries or dependencies: • Glass cracking 🪞 • Dominos falling 🁢 • Building collapsing 🏢 • Tree changing through seasons 🌳 • Lava lamp 🌋 • Snow globe shake ☃️ Longcat-2.0 delivered results on par with GPT-5.5 (and better on a few), while using significantly fewer tokens.