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What is LongCat-2.0?

LongCat-2.0 signifies a remarkable leap forward in the field of language models, boasting an impressive 1.6 trillion parameters through a Mixture-of-Experts architecture that utilizes AI ASIC superpods, with around 48 billion parameters activated per token, demonstrating outstanding proficiency in coding and agentic functions. This model notably surpasses its predecessors by incorporating a large-scale sparse architecture along with specialized post-training techniques designed specifically for applications in real-world software development, tool usage, long-context reasoning, and intricate agent operations. Entirely built and executed on AI ASIC superpods, LongCat-2.0's pretraining involved processing over 35 trillion tokens and countless accelerator hours, highlighting the forefront of training techniques on state-of-the-art hardware. To further enhance its capabilities on tasks that require long-term contextual awareness, the model integrates LongCat Sparse Attention and is trained with hundreds of billions of tokens derived from 1M-context datasets, which empowers it to adeptly handle ultra-long context challenges and maintain a comprehensive understanding of extensive documents. This unique blend of features not only establishes LongCat-2.0 as an innovative leader in advanced language models but also sets a new benchmark for future developments in the domain. Its capabilities are likely to inspire a new wave of research and applications in the field.

What is GLM-5.2?

GLM-5.2 is a powerful AI foundation model created to help developers and organizations handle advanced reasoning, coding, automation, and agent-based workflows. It is designed for complex system engineering tasks where an AI model needs to understand goals, follow multi-step instructions, and support technical execution. The model can be used for software development, code analysis, documentation support, research assistance, workflow automation, and intelligent application development. GLM-5.2 is especially valuable for long-context tasks because it can work with large amounts of information across extended prompts, files, or conversations. This makes it useful for reviewing large codebases, summarizing technical materials, generating structured outputs, and supporting detailed problem-solving. Its mixture-of-experts architecture helps deliver strong performance while using active model resources more efficiently. Development teams can use GLM-5.2 to improve productivity by reducing repetitive work and accelerating technical decision-making. Businesses can also use it to power AI assistants, internal automation tools, research platforms, and customer-facing intelligent systems. The model’s focus on agentic capabilities allows it to support workflows that require planning, reasoning, and task completion rather than basic response generation. GLM-5.2 can help organizations build smarter products while giving technical teams a more capable AI partner for demanding projects. It is a strong option for companies that want scalable AI support across engineering, research, automation, and digital transformation initiatives.

Media

Media

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Integrations Supported

Claude Code
Hermes Agent
OpenClaw
APIFree
Amp
C
C#
CSS
Cherry Studio
Claw Code
Cline
Kotlin
PHP
Python
Qoder
SQL
Tabbit Browser
Together AI
Yonoo
pandas

Integrations Supported

Claude Code
Hermes Agent
OpenClaw
APIFree
Amp
C
C#
CSS
Cherry Studio
Claw Code
Cline
Kotlin
PHP
Python
Qoder
SQL
Tabbit Browser
Together AI
Yonoo
pandas

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

LongCat

Date Founded

2023

Company Location

China

Company Website

longcat.chat/blog/longcat-2.0/

Company Facts

Organization Name

Zhipu AI

Date Founded

2023

Company Location

China

Company Website

z.ai/

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