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What is GLM-5.3?

GLM-5.3 is Z.ai’s frontier coding model built to improve complex software engineering, long-horizon agent work, and advanced technical reasoning through scaled post-training. The model uses the same base model as GLM-5.2, with performance gains coming from additional post-training environments, more diverse tasks, and expanded compute on the existing training stack. Z.ai’s stack includes IndexShare for efficient long-context processing, SAO for reinforcement learning on long-horizon tasks, and slime for large-scale asynchronous post-training. GLM-5.3 is designed to perform better on work that resembles real engineering tasks rather than short coding exercises. Its training environments include production-style workflows where the model must diagnose bottlenecks, inspect documentation, use codebases, run experiments, implement changes, and produce measurable improvements. The model improves coding performance across public and private benchmarks, including Terminal Bench 3.0, DeepSWE, Agents’ Last Exam, and Z.ai Code Bench. GLM-5.3 also improves token efficiency, producing stronger agentic coding results than GLM-5.2 while using fewer output tokens in Z.ai’s internal evaluations. The model supports three reasoning effort levels, low, high, and max, and no longer supports disabling thinking. Z.ai recommends max reasoning effort for coding tasks, while applications using disabled thinking must migrate to enabled thinking before switching to GLM-5.3. The release also reports emergent cyber capabilities, including stronger vulnerability discovery and exploitation-chain reasoning, with open-weight release planned after safety evaluation and hardening. By combining scaled post-training, long-context infrastructure, long-horizon reinforcement learning, coding-agent workflows, benchmark improvements, reasoning controls, and ZCode integration, GLM-5.3 helps developers and researchers work on demanding coding and agentic tasks.

What is GLM-4.7?

GLM-4.7 is an advanced AI model engineered to push the boundaries of coding, reasoning, and agent-based workflows. It delivers clear performance gains across software engineering benchmarks, terminal automation, and multilingual coding tasks. GLM-4.7 enhances stability through interleaved, preserved, and turn-level thinking, enabling better long-horizon task execution. The model is optimized for use in modern coding agents, making it suitable for real-world development environments. GLM-4.7 also improves creative and frontend output, generating cleaner user interfaces and more visually accurate slides. Its tool-using abilities have been significantly strengthened, allowing it to interact with browsers, APIs, and automation systems more reliably. Advanced reasoning improvements enable better performance on mathematical and logic-heavy tasks. GLM-4.7 supports flexible deployment, including cloud APIs and local inference. The model is compatible with popular inference frameworks such as vLLM and SGLang. Developers can integrate GLM-4.7 into existing workflows with minimal configuration changes. Its pricing model offers high performance at a fraction of comparable coding models. GLM-4.7 is designed to feel like a dependable coding partner rather than just a benchmark-optimized model.

Media

Media

Integrations Supported

Claude Code
Cline
Dessix
GLM Coding Plan
Kilo Code
OpenClaw
OpenRouter
Roo Code
Shiori
Sup AI
Yonoo
Zo Computer
CSS
Cosmos
Go
JavaScript
PrivatClaw
Qoder
Swift
Together AI

Integrations Supported

Claude Code
Cline
Dessix
GLM Coding Plan
Kilo Code
OpenClaw
OpenRouter
Roo Code
Shiori
Sup AI
Yonoo
Zo Computer
CSS
Cosmos
Go
JavaScript
PrivatClaw
Qoder
Swift
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Z.ai

Date Founded

2023

Company Location

China

Company Website

z.ai/

Company Facts

Organization Name

Z.ai

Date Founded

2023

Company Location

China

Company Website

z.ai/

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