AI 精选动态
智能评分 80
Meituan LongCat 发布 LongCat-2.0
AI 推荐理由
该模型在编码基准上超越 GPT-5.5，超长上下文和动态专家架构值得深入阅读技术博客。核心解读
Meituan LongCat 发布 LongCat-2.0，1.6T 参数 MoE 架构（约 48B 活跃参数），支持 1M 上下文，采用 LSA、Zero-Compute Experts 和 MOPD 技术。在 SWE-bench Pro 上达到 59.5，超过 GPT-5.5（58.6），其他基准也有较高分数。
全文
More info⬇️
https://x.com/Meituan_LongCat/status/2071783587205308721?s=20
> **引用原帖 Meituan LongCat (@Meituan_LongCat):**
> 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://t.co/4KrjyKiDBn
> Try it across different scenarios 🧵👇
> https://x.com/Meituan_LongCat/status/2071783587205308721