China's Meituan Says New AI Model Trained on Domestic Chips
The open-weight model uses a 1-million-token context window and undercuts many rivals with a flash-sale API, Meituan said.
- On Tuesday, Beijing-based Meituan unveiled LongCat-2.0, a 1.6-trillion-parameter large language model claimed as the industry's first to complete full-process training and inference on a 50,000-chip domestic compute cluster.
- The development addresses China's push to build advanced artificial intelligence without relying on restricted Western hardware. Unlike competitors using domestic chips only for inference, the firm demonstrated its ability to "conduct frontier-scale training on alternative hardware platforms."
- Excelling at agentic software engineering tasks, the model features a 1-million-token context window. It registered an empirical 59.5 on SWE-bench Pro, surpassing OpenAI's GPT-5.5 benchmark of 58.6.
- Meituan released the architecture under a permissive MIT license, allowing enterprises to integrate it into proprietary tools without disclosing modifications. The firm introduced a structured "Token Pack" framework with flash sales four times daily.
- This transition marks Meituan's evolution from a delivery super app into a global AI infrastructure competitor. The firm claims LongCat-2.0's performance rivals Google's Gemini 3.1 Pro released in February.
13 Articles
13 Articles
Meituan open sources LongCat-2.0, the 1.6T, near-frontier agentic coding model that's been leading OpenRouter — trained entirely on Chinese chips
A few hours ago, Chinese delivery app company Meituan officially unveiled LongCat-2.0 on GitHub, Hugging Face, and its native platform, unmasking the model as the computational engine behind "Owl Alpha," the anonymous stealth model that has spent the last two months commanding global developer charts on OpenRouter. Developed to fundamentally disrupt closed-source enterprise dominance in autonomous software engineering, the 1.6-trillion-parameter…
China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips
Beijing, China-based Meituan Inc. today debuted its next-generation LongCat-2.0 open-source large language model, stating that the company trained the 1.6-trillion-parameter model on domestic Chinese chips and compute clusters. The larger takeaway for this colossal model isn’t just the open-source release, it’s the domestic hardware throughline. Meituan may initially seem like an unlikely place for AI […] The post China’s Meituan open-sources ma…
LongCat-2.0: This Is China's Biggest AI Model Trained Entirely On Local Chips
China has taken another major step toward AI self-sufficiency. Meituan, the country’s food delivery giant, has unveiled LongCat-2.0, a massive artificial intelligence model trained entirely using domestically developed computing hardware. The announcement is significant because it demonstrates China’s growing ability to build frontier AI systems without relying on advanced US-made chips. With 1.6 trillion parameters and a one-million-token conte…
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