美团今日宣布 LongCat-2.0 完全开源（MIT 许可），公开模型权重与推理代码。该模型为 MoE 架构，总参数量 1.6T，每 token 激活约 48B，支持 1M token 上下文。技术亮点包括 LongCat Sparse Attention 高效处理长文本、Zero-Compute Experts 动态激活 33B–56B 零浪费计算、MOPD 按任务路由 Agent/Reasoning/Interaction 三组专家。Benchmark 成绩：Terminal-Bench 2.1 70.8；SWE-bench Pro 59.5（超越 GPT-5.5 的 58.6）；SWE-bench Multilingual 77.3；FORTE 73.2；RWSearch 78.8；BrowseComp 79.9。原生集成 Claude Code、OpenClaw、Hermes Agent 等工具，支持 GPU 与 NPU 部署，已在大规模国内集群验证。
国内大厂首个在 SWE-bench Pro 上超过 GPT-5.5 的开源模型，MIT 协议无任何限制，搞 agentic coding 的团队可以直接用，是个重要转折。
🐱 LongCat-2.0 is now fully open-source — MIT licensed, no restrictions.
Since our launch a few days ago, the response from the community has been incredible.
Thank you for all the feedback, discussions, and interest.
Today, we’re releasing the model weights and inference code to everyone.
◆ 1.6T MoE · ~48B active · 1M token context
◆ Agent-native: Integrates directly with Claude Code, OpenClaw, and Hermes Agent
◆ Deployment: Support both GPU and NPU platforms— verified on large-scale domestic clusters
📑 Tech Blog: https://longcat.ai/blog/longcat-2.0/
🤗 HuggingFace: https://huggingface.co/meituan-longcat/LongCat-2.0
💻 GitHub: https://github.com/meituan-longcat/LongCat-2.0
🪄 ModelScope: https://modelscope.ai/collections/meituan-longcat/LongCat-20
👇 Inference Code
GPU: https://github.com/sgl-project/sglang/pull/30042
NPU: https://github.com/meituan-longcat/SGLang-FluentLLM/tree/npu
Introducing LongCat-2.0 🐱 1.6T parameters · MoE with ~48B active · 1M context The full model behind Owl Alpha on @OpenRouter — now available. Built for agentic coding from the ground up: ◆ LongCat Sparse Attention (LSA) — scales efficiently for 1M-context tokens ◆ Zero-Compute Experts — dynamic activation 33B–56B per token, zero wasted compute ◆ MOPD — three specialized expert groups (Agent / Reasoning / Interaction), gate-routed per task How it stacks up: → Terminal-Bench 2.1: 70.8 → SWE-bench Pro: 59.5 (GPT-5.5: 58.6) → SWE-bench Multilingual: 77.3 → FORTE: 73.2 · RWSearch: 78.8 · BrowseComp: 79.9 📖 Tech Blog: https://longcat.chat/blog/longcat-2.0/ Try it across different scenarios 🧵👇在 X 查看被引用的帖子
来源：Meituan LongCat · x.com