GLM-5.2

GLM-5.2

Z.ai
5.0 out of 5 stars
Inkling 2 Small

Inkling 2 Small

Thinking Machines Lab
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+

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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

Inkling 2 Small is a multimodal AI model developed by Thinking Machines Lab for advanced reasoning, autonomous software engineering, visual understanding, and AI agent development. The model uses a mixture-of-experts architecture with 594 billion total parameters and 17 billion active parameters to balance intelligence and computational efficiency. It supports text and image inputs, a context window of up to one million tokens, and configurable reasoning effort for tasks requiring different levels of analysis. Its agentic capabilities enable autonomous code generation, debugging, website development, scientific research, and complex multistep workflows involving external tools. Inkling 2 Small also supports fine-tuning and reinforcement learning through Thinking Machines Lab's Tinker platform, allowing developers to customize the model for specialized applications.

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

AI developers, machine learning engineers, software developers, autonomous agent researchers, data scientists, AI research laboratories, DevOps professionals, computational scientists, enterprise AI teams, and organizations seeking multimodal language models, long-context reasoning, AI coding agents, reinforcement learning, model fine-tuning, visual understanding, and autonomous research capabilities

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
$0.30 per million input tokens, $0.03 per million cached input tokens, and $1.00 per million output tokens
Free Version Not Supported
Free Trial Not 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:

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 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

Thinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/

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Categories

Categories

Integrations

Augment Code Supported
CSS Supported
Claw Code Supported
Factory Droid Supported
Go Supported
Java Supported
Kilo Code Supported
Kotlin Supported
LM Studio Bionic Supported
Ollama Supported
PHP Supported
PyTorch Supported
Python Supported
Qoder Supported
Shiori Supported
Sup AI Supported
Swift Supported
Tabbit Browser Supported
TypeScript Supported
pandas Supported

Integrations

Augment Code Not Supported
CSS Not Supported
Claw Code Not Supported
Factory Droid Not Supported
Go Not Supported
Java Not Supported
Kilo Code Not Supported
Kotlin Not Supported
LM Studio Bionic Not Supported
Ollama Not Supported
PHP Not Supported
PyTorch Not Supported
Python Not Supported
Qoder Not Supported
Shiori Not Supported
Sup AI Not Supported
Swift Not Supported
Tabbit Browser Not Supported
TypeScript Not Supported
pandas Not Supported
Claim GLM-5.2 and update features and information
Claim GLM-5.2 and update features and information
Claim Inkling 2 Small and update features and information
Claim Inkling 2 Small and update features and information