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What is North Mini Code?

North Mini Code marks the launch of Cohere's innovative agentic coding model, specifically designed for developers, and represents the initial offering in its next generation of advanced models. This compact and effective open-source solution is tailored for the independent developer community, providing exceptional software development capabilities without requiring extensive hardware resources. Utilizing a mixture-of-experts architecture, it features a total of 30 billion parameters, with 3 billion actively engaged, delivering powerful agentic coding functionalities in a streamlined format. The model is meticulously optimized for a variety of tasks, including code generation, agentic software engineering, and terminal operations, boasting an impressive context length of 256K and a maximum generation capacity of 64K. It is crafted with real-world developer practices in mind, allowing for the management of sub-agents, architecture mapping, code reviews, and supporting coding agents in overcoming complex software challenges. By integrating these capabilities, developers can significantly boost their productivity and efficiency in software development projects, making it an invaluable tool in their arsenal. As a result, North Mini Code not only facilitates better coding practices but also fosters a collaborative environment for developers to thrive.

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

No images available

Integrations Supported

Amp
C
C#
C++
Cursor
GLM Coding Plan
HTML
Hermes Agent
JavaScript
Kilo Code
Kotlin
Ollama
OpenCode
OpenRouter
Roo Code
Swift
Together AI
Vercel AI Gateway
ZCode
pandas

Integrations Supported

Amp
C
C#
C++
Cursor
GLM Coding Plan
HTML
Hermes Agent
JavaScript
Kilo Code
Kotlin
Ollama
OpenCode
OpenRouter
Roo Code
Swift
Together AI
Vercel AI Gateway
ZCode
pandas

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Open source
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

Cohere

Date Founded

2019

Company Location

Canada

Company Website

cohere.com/blog/north-mini-code

Company Facts

Organization Name

Zhipu AI

Date Founded

2023

Company Location

China

Company Website

z.ai/

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