{"version":"1.0","generated_at":"2026-10-13T00:26:43.634144","id":1654,"slug":"longcat-2-0-mit-1-6t-moe","title":"美团 LongCat-2.0 完全开源（MIT 许可），1.6T MoE 模型开放权重与推理代码","summary":"美团开源 LongCat-2.0，1.6T MoE 模型，支持 1M token 上下文，多项基准测试成绩领先。","abstract":"美团 LongCat-2.0 完全开源（MIT 许可），1.6T MoE 模型开放权重与推理代码 美团开源 LongCat-2.0，1.6T MoE 模型，支持 1M token 上下文，多项基准测试成绩领先。 美团开源 LongCat-2.0，1.6T MoE 模型，支持 1M token 上下文，多项基准测试成绩领先。 原贴提到：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 toke 来源：x.com 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。 信号解读： 美团开源 LongCat-2.0 意味着国内大厂在超大 MoE 模型领域从闭源走向开放，MIT 许可降低了商业使用门槛。技术亮点如 LongCat Sparse Attention 和 Zero-Compute Experts 旨在解决长上下文与计算效率的行业痛点，MOPD 路由机制则尝试按任务类型分配专家，提升专业化能力。 为什么重要： 该模型在 SWE-bench Pro 上超越 GPT-5.5（59.5 vs 58.6），证明开源模型在软件开发任务上已具备竞争力，可能推动企业采用开源方案替代闭源 API。1M token 上下文支持长文档分析、代码仓库理解等场景，对 AI 代理（Agent）应用尤为关键。 对谁有价值： 对 AI 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