A Comprehensive Understanding of LongCat and Its Important Features in 2025
- Ethan Carter
- 1 day ago
- 9 min read
You can use LongCat-Flash-Chat as a strong AI tool in 2025. This AI uses a special Mixture of Experts (MoE) design. It turns on about 27 billion parameters from a total of 560 billion. The platform is different because it is open-source. It also uses the MIT license. You get an AI agent that works by itself. It can do real-world jobs with great accuracy. In tests, LongCat-Flash-Chat does as well as or better than other top AI models.
Model | Total Parameters | Activated Parameters | MMLU (acc) | ArenaHard-V2 (acc) | CEval (acc) |
LongCat-Flash-Chat | 560B | 27B | 89.71 | 86.50 | 90.44 |
DeepSeek V3.1 | 671B | 37B | 90.96 | 84.10 | 89.21 |
Qwen3 MoE-2507 | 235B | 22B | 90.23 | 88.20 | 92.70 |
Kimi-K2 | 1043B | 32B | 89.86 | 85.70 | 91.26 |
GPT-4.1 | - | - | 89.64 | 61.50 | 79.53 |
Claude4 Sonnet | - | - | 91.75 | 62.10 | 86.63 |
Gemini2.5 Flash | - | - | 86.33 | 77.00 | 78.78 |
Key Takeaways
LongCat-Flash-Chat uses a special Mixture of Experts design. It turns on only the needed settings for each job. This helps it work faster and saves energy.
The platform is very good at following instructions. It gets high scores in tests. It can do hard tasks and gives clear, step-by-step answers.
LongCat-Flash-Chat is open-source and does not cost much. It charges only $0.7 for every million tokens. This lets many projects use it without spending too much money.
The AI helps with real-world jobs in many areas. It works with coding, document management, and customer service. It acts as a helpful teammate.
LongCat's smart computation and context engineering make it work better. This makes it a good pick for businesses that want to be safer and more efficient.
LongCat AI Overview
Model Architecture
You use longcat-flash-chat on a platform made for speed and power. The model has a mixture-of-experts design. It does not turn on all its parameters at once. It picks between 18.6 billion and 31.3 billion parameters. The choice depends on what you need. This helps the ai work fast and saves energy.
Here is a table that explains how the architecture helps with speed and size:
Feature | Description |
Mixture-of-Experts (MoE) | Activates 18.6B to 31.3B parameters based on contextual demands, optimizing resource utilization. |
Allocates computation budget to important tokens, ensuring efficient processing. | |
Shortcut-connected architecture | Expands computation-communication overlap window, enhancing training and inference efficiency. |
Training scale | Supports training with tens of thousands of accelerators for high throughput and low latency. |
Inference efficiency | Achieves over 100 tokens per second (TPS) for cost-effective inference. |
This design lets the ai do big jobs without getting slow. The shortcut-connected architecture helps the model learn and answer faster. The platform can handle many users at once. You get answers quickly every time.
Tip: When you use longcat-flash-chat, you get a system that is both fast and accurate. It only turns on the parameters needed for your request.
Core Innovations
Longcat-flash-chat is different from other ai models because of its special features. The platform uses a dynamic computation mechanism. This means the ai picks how many parameters to use based on your input. You always get good performance.
The shortcut-connected MoE (ScMoE) structure helps the ai talk inside itself better. This makes results faster and more steady. The multi-stage training pipeline gives the ai agentic abilities. You can trust longcat-flash-chat to follow your instructions and finish real-world tasks well.
Here is a table that shows the main innovations:
Innovation Type | Description |
Mixture-of-Experts (MoE) | A unique architecture that activates a subset of parameters based on context, enhancing efficiency. |
Dynamic Computation | Activates 18.6B-31.3B parameters depending on contextual demands, optimizing performance. |
Shortcut-connected MoE (ScMoE) | Expands computation-communication overlap, improving inference speed and efficiency. |
Multi-stage Training | Specialized training pipeline that enhances agentic capabilities, leading to superior task performance. |
You see these benefits each time you use the ai. The platform gives you strong performance, quick answers, and results you can trust. Longcat-flash-chat uses its smart design to help you with any job.
Capabilities and Performance
Instruction Following
You can trust longcat-flash-chat to follow your instructions well. The ai uses smart reasoning to figure out what you want. It knows how to finish your requests. In the COLLIE test, longcat-flash-chat is ranked first. It does better than other top models. The platform uses many parameters for hard reasoning tasks. You get answers that fit your needs. Even if you ask for solutions with many steps, it can help.
Note: The AI agent can handle tough instructions. You can ask for step-by-step reasoning. The model will break down each part for you. This makes longcat-flash-chat a good choice for jobs needing deep thinking and clear logic.
The ai does not just copy information. It uses its reasoning skills to solve problems. It explains its steps to you. The model can work with long context inputs, up to 128k tokens. You can give it big documents or detailed instructions. It keeps track of every detail. The open-source MIT license lets you use longcat-flash-chat for many projects. There are no limits.
Efficiency
You get fast results because longcat-flash-chat is efficient. The ai processes over 100 tokens each second. The platform uses a smart mixture-of-experts design. It turns on only the needed parameters for your task. This saves energy and lowers cost. You pay just $0.7 for every million tokens.
Here is a table that shows the efficiency features:
Feature | Value |
Inference Speed | 100+ tokens/sec |
Cost per Million Tokens | $0.7 |
Context Length Support | Up to 128k tokens |
Parameters Activated | About 27 billion |
License | MIT (open-source) |
The ai can handle big workloads without slowing down. The reasoning engine in longcat-flash-chat works fast. You get answers quickly. You can run hard reasoning tasks and get results right away. The platform supports many users at the same time. You do not have to wait.
Tip: If you need to process long documents or do many tasks, longcat-flash-chat gives you speed and efficiency. The ai uses its reasoning skills to keep your work smooth and reliable.
You get a model that balances power and cost. The ai uses its parameters wisely. You do not waste resources. The efficiency of longcat-flash-chat helps you finish your work faster and spend less money.
Autonomous Agent Features
Real-World Task Execution
LongCat can be your teammate for many real jobs. The ai platform has features that help you finish tasks fast and well. It helps with coding, meetings, documents, and creative work. The ai agents act like teammates and make your work easier. You do not have to switch between different tools. The ai can handle many jobs for you.
Here is a table that lists the main autonomous features and how they help you:
Feature | Description | Impact on Productivity |
In-house large language model | LongCat is made in-house for business needs. | Makes many tasks more efficient. |
Gives coding help to workers. | Helps software teams work faster. | |
Smart meeting | Helps plan and manage meetings. | Makes meetings run better. |
Document assistant | Helps create and manage documents. | Saves time on paperwork. |
Graphic design | Helps with graphic design jobs. | Makes creative work easier. |
Short-form video generation | Helps make short videos. | Makes marketing better. |
AI sales assistant | Helps sales teams with their work. | Lowers workload by 44% and improves accuracy. |
Customer service agent | Makes customer talks better. | Makes work 20% faster and raises satisfaction by 7.5%. |
The ai picks the right parameters for each job. The platform uses its skills to help you work smarter. You get a teammate that changes to fit your needs.
Security and Reliability
You want your ai agents to be safe and reliable. LongCat uses smart planning and strong parameters to keep your work safe. The platform tries to finish tasks with high accuracy. You get security features that protect your data.
Many ai agents have trouble being reliable.
Others finish less than 10% of jobs.
LongCat matches the best, with a 33.1% completion rate.
A recent test showed even top ai agents find hard jobs tough. You might see mistakes when tasks need deep planning. LongCat does as well as other top teammates. You get a platform that works hard to keep your jobs on track. The ai uses its parameters to fix mistakes and get better over time.
Tip: You can trust LongCat to take care of your work. The ai platform gives you a safe and reliable teammate for daily tasks.
Conversational Pair Programmer and Use Cases
Developer Applications
You can use the agentic coding platform as a coding partner. This tool helps you write code and fix bugs. It also helps you learn new programming skills. When you talk to the ai, you get clear answers. The ai gives you step-by-step help. The agentic coding platform listens to your questions. It gives you code examples to help you. You can ask for help with Python or JavaScript. You can also ask about other languages. The ai coding assistants use advanced skills to understand what you need. You get help with debugging and code review. You can also learn new frameworks.
The conversational pair programmer uses smart parameters to give good advice. You can finish projects faster and make fewer mistakes. The agentic coding platform helps you write code notes. It also helps you follow best practices. Many developers use this ai to save time. They also use it to make their work better.
Tip: Ask the conversational pair programmer to explain a hard algorithm. You will get a simple answer. This helps you understand the logic.
Local Services
You can see how strong the agentic coding platform is in local services. Companies like Meituan and JD.com use longcat to help customers and run their business. The ai answers millions of user questions every day. This makes local services faster and more reliable. The agentic coding platform helps with booking restaurants. It helps track deliveries. It also answers customer questions.
Here are some ways the ai helps local services:
Answers customer questions fast
Helps with tracking orders and updates
Supports business with smart automation
The agentic coding platform uses its skills to help users and businesses. You get quick answers and correct information. The ai works in the background. It makes sure everything runs smoothly.
Comparison with Other AI Models
Unique Advantages
There are many AI models in 2025. LongCat is special because it uses model scaling and context engineering well. The platform has 560 billion parameters. But it only turns on the ones needed for each job. This dynamic computation mechanism saves resources and gives fast results. Context engineering helps count turns. This makes talking with the AI smoother and more natural.
Here is a table that shows how LongCat and other AI models compare:
Feature | LongCat | Proprietary AI Models (2025) |
Model Type | Non-thinking | Varies |
Size | 560B | Varies |
Dynamic Computation Mechanism | Yes | No |
Context Template | Counts turns | Standard |
Average Expert Size | 27B | Varies |
LongCat gives you better context engineering. The platform keeps talks clear and easy to follow. You also see model scaling work well. The model picks the right parameters for each job. This makes it safer and easier to scale.
Industry Impact
LongCat is changing AI in China. The platform uses a special scaling method and context engineering to give strong abilities. It helps local services and businesses do better. The platform has safety features to protect your data and keep your work safe.
LongCat was made by Meituan and is part of a big AI race in China.
DeepSeek's V3 model cost about $6 million to train.
OpenAI's GPT-4 cost over $100 million to make.
LongCat uses model scaling to lower costs and work better. The platform only turns on the parameters it needs. This helps with scaling and safety. You get context engineering that helps with long talks and hard tasks. The platform uses safety steps to keep your data safe. LongCat helps businesses grow and supports new AI uses.
Tip: You can count on LongCat for strong skills, smart context engineering, and good safety. The platform uses scaling and context tools to help you do well in 2025.
You see how longcat gives you strong AI tools for real-world tasks. The open-source design lets you use advanced features without limits. You get fast answers and reliable results. If you want to build new AI solutions, try longcat for your next project.
Longcat keeps improving. You can expect more smart features and better performance in the future.
FAQ
What makes LongCat-Flash-Chat different from other agent platforms?
LongCat-Flash-Chat gives you an agent with strong long-term memory. It can keep up with long chats and remember details for a long time. The platform only turns on the needed parameters. This makes your chats smooth and quick.
How does LongCat-Flash-Chat support long-term memory in chat sessions?
The agent uses long-term memory to follow your chat history. It remembers facts and instructions you give. This helps you keep talking without repeating yourself. You get better answers in every chat.
Can LongCat-Flash-Chat handle complex tasks as an agent?
You can trust the agent with many kinds of jobs. It uses long-term memory and smart thinking to finish tasks. You can ask for help with coding, documents, or customer service. The agent changes to fit your needs and gives correct answers.
Is my data safe when I use LongCat-Flash-Chat for chat and agent tasks?
You get a full safety check with every chat. The agent keeps your information safe each time. You have security features that protect your data. The platform uses strong steps to keep your chats private.
How does LongCat-Flash-Chat improve productivity in chat and agent workflows?
The agent helps you work faster every day. It remembers your chat history and uses long-term memory to help you. You finish jobs quicker and make fewer mistakes. The platform supports many tasks, making your work easier.
