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Meituan

Latest

  • 2026-06-30

    LongCat-2.0 open-sourced

Overview

Chinese consumer technology conglomerate (food delivery, local services, travel). In 2026, Meituan's internal AI research team ("LongCat AI") released LongCat-2.0 — a 1.6-trillion-parameter open-source model trained entirely on domestic Chinese chips, which became the largest publicly open-source MoE model at release.

Meituan is one of China's largest tech companies (comparable to Uber Eats + Yelp + Expedia combined), and its AI research capability — previously focused on recommendation systems and logistics optimization — has now produced a frontier-scale language model.

Key People

  • LongCat AI team — internal AI research unit responsible for the LongCat model series (leadership names not publicly disclosed)

Models & Products

  • LongCat-2.0 — 2026-06-30, 1.6T MoE, MIT license, trained entirely on Huawei Ascend 910, 1M ctx, agentic coding; leading OpenRouter as "Owl Alpha" before reveal

Recent Activity

  • 2026-06-30: LongCat-2.0 open-sourced — 1.6T MoE, MIT license, trained on 50,000 Huawei Ascend 910 chips (no NVIDIA). The model had been quietly topping OpenRouter under codename "Owl Alpha." A 1M-token context window enabled by LongCat Sparse Attention (LSA). Why it matters: first demonstration that a 1.6T-scale training run can complete on non-NVIDIA domestic Chinese hardware, directly contradicting narratives that US chip export controls prevent frontier AI development inside China. → LongCat-2.0 (source) (VentureBeat)

Strategic Position

  • Unlike dedicated AI labs (Baidu, Alibaba/Qwen, ByteDance/Doubao), Meituan's AI capability emerged from its core operational business (recommendation, logistics, pricing)
  • The open-source MIT release under a Western-friendly license is notable — it maximizes adoption beyond China and contrasts with models like GLM-5.2 (Tsinghua-based Z.ai), which have more restrictive licensing
  • The Ascend 910 training achievement has policy relevance: it is evidence that China's domestic chip ecosystem can support 1.6T-parameter training runs without NVIDIA hardware

Related

Open Questions

  • Is "LongCat AI" an independent entity or a wholly internal Meituan team?
  • Will Meituan release LongCat-2.0 as a commercial API?
  • What are LongCat-2.0's verified benchmark scores vs. other frontier models?

Referenced by

Sources