English(EN) Meituan shipped LongCat-2.5

美团发布LongCat-2.5，拥有1.6T参数，支持长时代理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 16:28

美团发布了LongCat-2.5，一个拥有1.6万亿参数的大型语言模型，其中约480亿参数处于激活状态。这个原生多模态模型专为长时代理而设计，完全在中国硬件上训练。它采用了独特的图像量化方法，并结合了针对失败轨迹的强化学习，实现了43%的预填充推理速度提升。 AI

影响该模型先进的多模态能力和效率有望推动长时代理开发的边界。

排序理由美团发布了带有系统卡的Frontier-lab模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 美团发布了带有系统卡的Frontier-lab模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

dev.to — LLM tag TIER_1 English(EN) · Yi · 2026-11-02 16:28

Meituan shipped LongCat-2.5

<p>Meituan shipped LongCat-2.5. 1.6T params, ~48B active, native multimodal, aimed at long-horizon agents, trained start to finish on Chinese hardware.</p> <p>Images get quantized into multi-level discrete tokens, and that's where Visual Coding and 3D pick up. On the RL side, fai…