GLM-5.2

GLM-5.2

Z.ai
MiniMax M2

MiniMax M2

MiniMax
+
+

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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

MiniMax M2 is an open source foundation model built specifically for agentic applications and coding workflows, striking a new balance of performance, speed, and cost. It excels in end-to-end development scenarios, handling programming, tool-calling, and complex, long-chain workflows with capabilities such as Python integration, while delivering inference speeds of around 100 tokens per second and offering API pricing at just ~8% of the cost of comparable proprietary models. The model supports “Lightning Mode” for high-speed, lightweight agent tasks, and “Pro Mode” for in-depth full-stack development, report generation, and web-based tool orchestration; its weights are fully open source and available for local deployment with vLLM or SGLang. MiniMax M2 positions itself as a production-ready model that enables agents to complete independent tasks, such as data analysis, programming, tool orchestration, and large-scale multi-step logic at real organizational scale.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Software engineering teams, AI practitioners and developer-led organizations requiring a tool offering a model optimized for agent workflows and full-stack coding tasks

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

$0.30 per million input tokens
Free Version Supported
Free Trial Supported

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:

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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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Z.ai
Founded: 2023
China
z.ai/

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io/news/minimax-m2

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Categories

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported

Integrations

Claude Code Supported
Cline Supported
Kilo Code Supported
Python Supported
Shiori Supported
Amp Supported
Augment Code Supported
C# Supported
C++ Supported
CSS Supported
Claw Code Supported
Cursor Supported
Factory Droid Supported
Grengin Supported
HTML Supported
OpenRouter Supported
OpenTag Supported
Roo Code Supported
Tabbit Browser Supported
ZCode Supported

Integrations

Claude Code Supported
Cline Supported
Kilo Code Supported
Python Supported
Shiori Supported
Amp Not Supported
Augment Code Not Supported
C# Not Supported
C++ Not Supported
CSS Not Supported
Claw Code Not Supported
Cursor Not Supported
Factory Droid Not Supported
Grengin Not Supported
HTML Not Supported
OpenRouter Not Supported
OpenTag Not Supported
Roo Code Not Supported
Tabbit Browser Not Supported
ZCode Not Supported
Claim GLM-5.2 and update features and information
Claim GLM-5.2 and update features and information
Claim MiniMax M2 and update features and information
Claim MiniMax M2 and update features and information