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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 Coze?

An innovative platform designed for creating AI chatbots empowers users to easily develop bots without requiring any programming expertise, allowing for deployment across various platforms. The workflow functionality acts as an essential tool for structuring and implementing complex operational logic, which is especially advantageous for processes that involve multiple stages, like trip planning or report generation. For initiatives that necessitate both detailed functionality and robust reliability, it is advisable to leverage a workflow. This tool provides a wide range of flexible and combinable nodes, and it even allows for the integration of custom code to fulfill the requirements of sophisticated and manageable AI task sequences. When faced with AI task scenarios that encompass numerous steps and demand precision in output and formatting, employing a workflow stands out as the ideal choice. Additionally, the capacity to personalize and modify these workflows guarantees that users can efficiently adapt their AI solutions to meet specific requirements, enhancing overall satisfaction with the platform's capabilities. Ultimately, this versatility not only streamlines the development process but also empowers users to achieve their desired outcomes with greater ease.

Media

Media

Integrations Supported

HTML
JavaScript
Amp
C++
CSS
Claude Code
Cosmos
Cursor
Dessix
GLM Coding Plan
Go
Google Lens
Kilo Code
LINE
LangSearch
PyTorch
Qoder
Sup AI
Tabbit Browser
Together AI

Integrations Supported

HTML
JavaScript
Amp
C++
CSS
Claude Code
Cosmos
Cursor
Dessix
GLM Coding Plan
Go
Google Lens
Kilo Code
LINE
LangSearch
PyTorch
Qoder
Sup AI
Tabbit Browser
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
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

Coze

Company Website

www.coze.com

Categories and Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

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