GLM-5.2

GLM-5.2

Z.ai
+
+

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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

Muse Spark 1.3 is an AI model with improved performance across agentic and coding tasks, designed to be smarter and more practical for real-world work. It sustains longer-horizon tasks by collaborating with users and managing multiple workflows in a single, long thread. Given an open-ended objective, it uses tools to build context across messy or conflicting sources, correct gaps in its plan, track what it has learned, and produce a final deliverable. It asks clarifying questions when prompts are ambiguous, requests help when stuck, and confirms before taking consequential actions. The model follows complex, long-form instructions more reliably, preserving detailed requirements across multi-step tasks without dropping constraints or drifting from the requested workflow. Improved multitasking allows it to map incoming prompts to the correct task even when users interrupt or redirect previous requests.

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 and professional users seeking an AI model for complex agentic workflows, long-running tasks, coding, and multi-step work requiring reliable instruction following

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

$1.25 per 1M tokens (input)
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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

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.

Pros & Cons from Real Users

Pros

  • This feels like the version where Muse Spark becomes much more interesting for developers. The focus is not just “better chat,” but better coding, better agentic workflows, and more reliable long-running tasks. The biggest win is efficiency. Meta says Muse Spark 1.3 uses fewer tokens and fewer tool calls on coding tasks, which matters a lot if you are running agents repeatedly instead of asking one-off questions. I also like that it is available in both Muse Code and the Meta Model API. That gives developers a practical path whether they want a coding-agent experience or want to plug the model into their own workflows.

Cons

  • Have not found any downsides thus far. This model is a big leap for Meta

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Z.ai
Founded: 2023
China
z.ai/

Company Information

Meta
Founded: 2004
United States
meta.ai/

Alternatives

Alternatives

GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Kimi K2.6

Kimi K2.6

Moonshot AI
Qwen3.6

Qwen3.6

Alibaba

Categories

Categories

Integrations

C
C#
C++
Cheaper Inference
Claude Code
Go
HTML
Hermes Agent
Java
JavaScript
Kotlin
OpenClaw
PHP
Python
R
Rust
SQL
Swift
TypeScript
OpenRouter

Integrations

C
C#
C++
Cheaper Inference
Claude Code
Go
HTML
Hermes Agent
Java
JavaScript
Kotlin
OpenClaw
PHP
Python
R
Rust
SQL
Swift
TypeScript
OpenRouter
Claim GLM-5.2 and update features and information
Claim GLM-5.2 and update features and information
Claim Muse Spark 1.3 and update features and information
Claim Muse Spark 1.3 and update features and information