GLM-4.7

GLM-4.7

Zhipu AI
MAI-Thinking-1

MAI-Thinking-1

Microsoft AI
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About

GLM-4.7 is an advanced large language model designed to significantly elevate coding, reasoning, and agentic task performance. It delivers major improvements over GLM-4.6 in multilingual coding, terminal-based tasks, and real-world software engineering benchmarks such as SWE-bench and Terminal Bench. GLM-4.7 supports “thinking before acting,” enabling more stable, accurate, and controllable behavior in complex coding and agent workflows. The model also introduces strong gains in UI and frontend generation, producing cleaner webpages, better layouts, and more polished slides. Enhanced tool-using capabilities allow GLM-4.7 to perform more effectively in web browsing, automation, and agent benchmarks. Its reasoning and mathematical performance has improved substantially, showing strong results on advanced evaluation suites. GLM-4.7 is available via Z.ai, API platforms, coding agents, and local deployment for flexible adoption.

About

MAI-Thinking-1 is Microsoft AI’s reasoning model, built for complex problems that matter most, with competitive reasoning and strong software engineering performance in its weight class. It is a 35B-active, approximately 1T-total-parameter sparse Mixture of Experts model, giving it a smaller inference footprint than much larger models while still matching leading models on key software engineering benchmarks. Microsoft trained MAI-Thinking-1 from the ground up on enterprise-grade, clean, commercially licensed data, without distillation from third-party models, so its capabilities are learned rather than inherited. The model is part of Microsoft AI’s Hill-Climbing Machine, a co-designed development pipeline built to make every component of model development continually and reliably improve over time. MAI-Thinking-1 is designed for agentic coding environments where models must read code, edit files, run tests, observe failures, and recover from intermediate mistakes.

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

GLM-4.7 is ideal for developers, AI engineers, and teams building coding agents, developer tools, and complex reasoning applications who need a high-performance model optimized for real-world software development

Audience

Enterprise developers and AI product teams that need a reasoning model for agentic coding, mathematical problem-solving, long-context analysis, and secure production deployment

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

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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

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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

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

Microsoft AI
Founded: 2024
United States
microsoft.ai/news/introducing-mai-thinking-1/

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Categories

Categories

Integrations

Claude Code
Claude Sonnet 4.6
Cline
Dessix
GLM Coding Plan
GitHub Copilot
Kilo Code
Microsoft Azure
Microsoft Foundry
OpenClaw
OpenRouter
PrivatClaw
Roo Code
Shiori
Sup AI
Visual Studio Code
Yonoo
Zo Computer

Integrations

Claude Code
Claude Sonnet 4.6
Cline
Dessix
GLM Coding Plan
GitHub Copilot
Kilo Code
Microsoft Azure
Microsoft Foundry
OpenClaw
OpenRouter
PrivatClaw
Roo Code
Shiori
Sup AI
Visual Studio Code
Yonoo
Zo Computer
Claim GLM-4.7 and update features and information
Claim GLM-4.7 and update features and information
Claim MAI-Thinking-1 and update features and information
Claim MAI-Thinking-1 and update features and information