What is LongCat AI?
LongCat AI is an open source research model AI dialog platform launched by Meituan, with powerful natural language processing capabilities. The latest version of LongCat-Flash-Chat is officially open-sourced and adopts the innovative Mixture-of-Experts (MoE) architecture, with a total number of 560 billion parameters, but each token only activates 18.6 to 31.3 billion parameters, with an average of about 27 billion parameters, which realizes the efficient use of arithmetic power.

Features of LongCat AI
Efficient Natural Language Understanding and Generation: Conduct natural language conversations fluently, understand user intent accurately and provide precise and detailed answers.
Multi-disciplinary knowledge coverage: Has a broad knowledge base covering a wide range of fields, including science, technology, culture, history, and the arts, and can answer a variety of specialized questions.
Powerful text generation: Support the generation of multiple text types, such as articles, stories, copywriting, etc., to meet different creative needs.
Code generation and parsing: Generate code snippets in multiple programming languages and parse the code to aid programming learning and development.
Networked search and real-time information integration: Support network search, can obtain and integrate the latest information on the Internet in real time, providing the latest data and information.
Intelligent Body Task Optimization: Performs well in intelligent body tasks with strong tool usage and complex scene handling capabilities, suitable for automated operations and intelligent decision-making scenarios.
Core Benefits of LongCat AI
Efficient Computing Architecture: Adopting the innovative Mixture-of-Experts (MoE) architecture, the total number of parameters reaches 560 billion, but each token only activates 18.6 to 31.3 billion parameters, with an average of about 27 billion parameters, which realizes the efficient utilization of arithmetic power.
Rapid reasoning speed: Achieve single-user inference speed of 100+ tokens/s on H800 hardware, which is significantly better than the industry's equivalent scale models and suitable for application scenarios that require fast response.
Superior Intelligent Body Capabilities: Excellent performance in intelligent body tasks, especially in tool use and decision-making abilities in complex scenarios, e.g., excellent results in both τ²-Bench and VitaBench.
Full performance: Demonstrates strong performance in a number of benchmarks, including general domain knowledge, programming ability, and instruction adherence, and is able to meet the needs of diverse applications.
Open Source and Community Support: The model has been open-sourced simultaneously at Hugging Face and Github under the MIT License, which allows users to conduct secondary development and research with active community support.
Multi-scene optimization: Optimized for different application scenarios, such as programming assistance, intelligent body tasks, etc., so that it can excel in several fields.
What is LongCat AI's official website?
- Official website address:: https://longcat.chat/
Who LongCat AI is for
regular userLongCat AI can be used to have daily conversations, get information, and solve various problems in life.
content creator: Create articles, stories, copy, and other content quickly and efficiently with its text generation capabilities.
developers: Use code generation and parsing features to get programming advice and solutions to assist programming learning and development efforts.
Students and educators: To serve as a learning tool, providing study materials, answering academic questions, and assisting in teaching and learning.
Business & Customer Service: Apply to intelligent customer service system to answer customer questions quickly and accurately, improve customer service efficiency and user experience.
office worker: Improve work efficiency and information processing in office scenarios such as document management, meeting minutes, and task assignments.
LongCat AI's model review results
- In terms of general domain knowledge, LongCat-Flash scored 86.50 in the ArenaHard-V2 benchmark, ranking second, 89.71 in MMLU, and 90.44 in CEval, demonstrating strong and comprehensive performance.
- In terms of the use of Agentic tools, LongCat-Flash outperforms other models in τ²-Bench; it ranks first in VitaBench with a score of 24.30, which demonstrates its strong processing ability in complex scenes.
- In terms of programming, LongCat-Flash scored 39.51 in TerminalBench, ranking second, and 60.4 in SWE-Bench-Verified, showing solid programming ability.
- In terms of instruction compliance, LongCat-Flash ranks first in IFEval with a score of 89.65; it also scores the best in COLLIE and Meeseeks-zh with 57.10 and 43.03 respectively, highlighting its excellent command of both Chinese and English instruction sets.