AI 精选动态
智能评分 68
长Cat 2.0 发布，参数6.8T
AI 推荐理由
peer reviews 显示(benchmarks强于竞争产品)，技术细节内容丰富，不值得遗漏核心解读
Meituan 发布了基于 Meituan LONG CAT 的最新更新，积含 1.6T 参数，采用零等价计算模型，营造高效编码体验。侧跟教育圈对其性能评价，中文解析涵盖技术亮点与实际测试结果。
全文
letssss gooooo breaking this bad boy out today
loooooooooooong cat https://t.co/tT6sP9DHK3
> **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