Meituan Unveils LongCat-Flash-Thinking, China’s First High-Efficiency Reasoning Model

Breaking NewsSep. 23, 2025

Summarized by NextFin AI

Meituan has launched LongCat-Flash-Thinking, a large language model that combines deep thinking and tool use.
This model is the first of its kind in China and excels in logic, mathematics, coding, and agent-based reasoning tasks.
Its performance is comparable to the closed-source GPT-5-Thinking in certain benchmarks.
LongCat-Flash-Thinking is currently available for trial on Meituan's official website.

AsianFin -- Meituan on Monday launched LongCat-Flash-Thinking, a high-efficiency reasoning large language model that integrates both “deep thinking + tool use” and “informal + formal” reasoning capabilities.

According to the company, it is the first of its kind in China and has achieved state-of-the-art performance among open-source models worldwide in logic, mathematics, coding, and agent-based reasoning tasks. In some benchmarks, its performance approaches that of the closed-source GPT-5-Thinking. The model is now available for trial on Meituan’s official website.

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Insights

What are the key features of Meituan's LongCat-Flash-Thinking model?

How does LongCat-Flash-Thinking compare to other language models in terms of performance?

What technologies underpin the development of LongCat-Flash-Thinking?

What are the implications of having a high-efficiency reasoning model like LongCat-Flash-Thinking in China?

What feedback have users provided regarding the LongCat-Flash-Thinking model?

How does the launch of LongCat-Flash-Thinking reflect current trends in AI development in China?

What recent advancements have been made in AI language models globally?

How might LongCat-Flash-Thinking evolve in the next few years?

What challenges does Meituan face in promoting LongCat-Flash-Thinking in the competitive AI market?

Are there any controversies surrounding the use of reasoning models like LongCat-Flash-Thinking?

What historical context led to the development of high-efficiency reasoning models in AI?

How do open-source models like LongCat-Flash-Thinking compete with closed-source models like GPT-5-Thinking?

What role do reasoning capabilities play in the future of AI applications?

What are the potential limitations of the LongCat-Flash-Thinking model?

How can LongCat-Flash-Thinking be applied in real-world scenarios?

What distinguishes 'informal + formal' reasoning capabilities in AI models?

What is the significance of Meituan's launch in the broader context of AI competition in Asia?

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