GLM-5.2

GLM-5.2

Zhipu AI
+
+

Related Products

  • Google AI Studio
    30 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • ActCAD Software
    401 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • Interfacing Integrated Management System (IMS)
    66 Ratings
    Visit Website
  • Robin by Atera
    526 Ratings
    Visit Website
  • Quickbase
    3,009 Ratings
    Visit Website
  • Iru
    1,351 Ratings
    Visit Website
  • Frontegg
    386 Ratings
    Visit Website

About

GLM-5.2 is an advanced AI foundation model designed to support complex reasoning, coding, and long-range agentic tasks. It helps developers, teams, and organizations build intelligent systems that can understand instructions, solve technical problems, and assist with demanding workflows. The model is especially useful for software engineering, automation, research, and productivity-focused applications. GLM-5.2 is built to handle large amounts of context, making it suitable for projects that require deeper understanding across extended conversations, documents, or codebases. Its mixture-of-experts design helps balance strong performance with more efficient model operation. GLM-5.2 gives businesses and developers a powerful AI tool for creating smarter applications, improving technical workflows, and supporting advanced digital experiences.

About

North Mini Code is Cohere’s first agentic coding model for developers and the inaugural member of its next generation of powerful models. Small, efficient, and open-source, it is built for the sovereign developer ecosystem and designed to deliver strong software development performance without requiring extensive hardware. North Mini Code is a mixture-of-experts model with 30B total parameters and 3B active parameters, giving developers access to agentic coding capabilities in a compact and efficient form. The model is optimized for code generation, agentic software engineering, and terminal tasks, with a 256K total context length and up to 64K maximum generation. It is built for real-world developer workflows, including understanding and orchestrating sub-agents, mapping system architecture, running code reviews, and supporting coding agents that need to reason through complex software tasks.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, AI teams, software companies, enterprises, and technical organizations that need advanced reasoning, coding, automation, and agentic AI capabilities

Audience

Developers, coding-agent builders, and engineering teams wanting a model for code generation, terminal tasks, architecture reasoning, code review, and locally controlled development workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

Free
Open source
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • GLM-5.2 has been excellent for building AI agents and handling coding workflows. It follows complex instructions well, breaks down tasks clearly, and stays reliable across multi-step agentic work. For coding, it is fast, practical, and good at understanding context. I use it for debugging, refactoring, generating functions, and planning larger software tasks, and it consistently gives useful output. It also feels strong for tool-use and automation-style workflows. When I need an AI model to reason through steps, produce structured responses, or support agent behavior, GLM-5.2 performs very well.

Cons

  • Like any model, it still benefits from clear prompts and good context. For very large or highly specific codebases, I sometimes need to guide it with extra details.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Zhipu AI
Founded: 2023
China
z.ai/

Company Information

Cohere
Founded: 2019
Canada
cohere.com/blog/north-mini-code

Alternatives

Big Pickle

Big Pickle

OpenCode Zen

Alternatives

Bonsai 27B

Bonsai 27B

PrismML
Claude Fable 5

Claude Fable 5

Anthropic
Devstral Small 2

Devstral Small 2

Mistral AI
Hy3

Hy3

Tencent
Kimi K2

Kimi K2

Moonshot AI
MiMo-V2.5

MiMo-V2.5

Xiaomi Technology

Categories

Categories

Integrations

APIFree
C#
C++
Cherry Studio
Dessix
Factory Droid
Java
Kotlin
Ollama
OpenRouter
PHP
PyTorch
Qoder
R
Rust
Swift
Tabbit Browser
Yonoo
Z.ai
pandas

Integrations

APIFree
C#
C++
Cherry Studio
Dessix
Factory Droid
Java
Kotlin
Ollama
OpenRouter
PHP
PyTorch
Qoder
R
Rust
Swift
Tabbit Browser
Yonoo
Z.ai
pandas
Claim GLM-5.2 and update features and information
Claim GLM-5.2 and update features and information
Claim North Mini Code and update features and information
Claim North Mini Code and update features and information