Stock Markets June 30, 2026 04:55 AM

Meituan unveils LongCat-2.0, says trillion-parameter model trained on domestic chip cluster

Chinese food delivery giant claims LongCat-2.0 was built and run entirely on a 50,000-chip cluster using domestically made processors; company will open-source the model

By Nina Shah
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Meituan announced the release and planned open-sourcing of LongCat-2.0, which the company says is a trillion-parameter large language model trained and executed entirely on a 50,000-chip cluster using Chinese-made processors. The model, developed by the LongCat team founded in 2023, is positioned for agentic coding and ultra-long document handling and is claimed to match or exceed some leading proprietary models on selected benchmarks.

Meituan unveils LongCat-2.0, says trillion-parameter model trained on domestic chip cluster
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Key Points

  • Meituan announced LongCat-2.0, a claimed trillion-parameter large language model that the company says was trained and run entirely on a 50,000-chip cluster using Chinese-made processors.
  • The LongCat team was founded in 2023 and released its first model late last year; Meituan has previously used earlier LongCat versions for in-app AI assistants that recommend restaurants and hotels and automate tasks like ordering and booking.
  • LongCat-2.0 is aimed at agentic coding, can ingest up to 1 million tokens to handle ultra-long documents, and Meituan said it matched or exceeded some leading proprietary models on certain coding and agent benchmarks.

BEIJING, June 30 - Meituan said on Tuesday it has put forward and will open-source LongCat-2.0, its next-generation large language model, which the company described as the world’s first trillion-parameter AI system both trained and run entirely on a domestic computing cluster built from 50,000 chips powered by Chinese-made processors.

The LongCat initiative, formed in 2023, released its first model late last year. Meituan did not specify how LongCat-2.0 will be woven into its existing services, although earlier iterations of LongCat have been used inside Meituan’s apps to power AI assistants that recommend restaurants and hotels and handle user tasks such as placing food orders and booking rooms. Those in-app functions are part of what the company and peers describe as an "agentic commerce" trend, which the article noted Alibaba has accelerated this year.

Meituan highlighted a couple of demonstration capabilities on LongCat’s official WeChat account, saying the model can construct a gaming website and draft a novel. The company said a preview release of LongCat-2.0 had already become one of the three most-used models on OpenRouter, a globally used AI marketplace.

LongCat-2.0 was trained from scratch on a cluster of 50,000 domestic chips and is reported to handle inputs up to 1 million tokens, enabling it to process ultra-long documents. Meituan described the model as targeted at agentic coding, with an architecture meant to improve reliability and efficiency when tackling real-world coding tasks.

On benchmark performance, Meituan claimed LongCat-2.0 matched or exceeded the results of several notable proprietary models on some coding and agent benchmarks, naming Google’s Gemini, OpenAI’s GPT-5.5 and Anthropic’s Claude Opus. The company also stated that the development demonstrates an ability to train large-scale models on domestic computing clusters, while not identifying the specific chipmaker involved.

Meituan’s emphasis on a Chinese-chip based training run underscores a broader push toward self-sufficiency in the domestic AI landscape. The company situates its announcement against a backdrop in which major Chinese AI players are working to cut reliance on U.S. chips after export controls imposed by Washington since 2022. The article noted that several domestic chipmakers, including Huawei and Enflame, have moved to supply capacity and win market share through partnerships with AI developers.

The company’s statement and the surrounding details do not disclose the commercial integration plan for LongCat-2.0 within Meituan’s suite of consumer services. Separately, the article observed that amid weak consumer sentiment and narrowing margins, Meituan may also be seeking to diversify revenue sources beyond its core food delivery and local services businesses.

Finally, the report contained a promotional passage referencing investment analysis for the ticker 3690 and an AI-driven stock selection service, noting the service evaluates thousands of companies using over 100 financial metrics and highlighting past winners. That passage asked whether an investor should put $2,000 into 3690 and offered readers the option to see more stocks or strategies from the service.


Contextual note: The facts presented above reflect Meituan’s claims and the company’s public statements about LongCat-2.0 as provided in its official communications and the accompanying announcement on LongCat’s WeChat account. The company did not name the chipmaker behind the domestic processors used in the reported training cluster.

Risks

  • Meituan did not disclose how LongCat-2.0 will be integrated into its existing businesses, leaving uncertainty about the timing and scale of any commercial impact - this affects Meituan's consumer services and digital commerce segments.
  • Claims about benchmark parity with proprietary models are based on selected coding and agent tests reported by the company; broader real-world performance and adoption remain uncertain - this influences investor assessment of Meituan’s AI-driven revenue diversification.
  • The push to use domestically produced chips is framed against export controls imposed by Washington since 2022; the longer-term supply dynamics and chip performance comparisons with non-domestic alternatives remain a source of uncertainty for the AI and semiconductor sectors.

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