Photo by the author
# Entry
GLM-4.6 is the latest version of the Z.AI open coding model, offering significant improvements over GLM-4.5 in areas such as agent performance, reasoning, and coding benchmarks. While it is available as open scales for self-hosting, running it at full capacity can be resource-intensive. As a result, many developers prefer the lightweight subscription option, which allows them to access the model without requiring ponderous hardware.
Introducing GLM coding plan: an inexpensive and uncomplicated way to operate GLM-4.6 within your existing workflow for approx $3 per month. This plan integrates seamlessly with popular development tools, allowing you to connect it to an editor or command-line interface with minimal configuration.
In this tutorial you will learn how to link a file GLM coding plan Down Open code and create a basic payment platform website with a single prompt, enabling you to evaluate the performance of GLM-4.6 in a real development scenario.
# Understanding the GLM coding plan
The GLM coding plan is a subscription-based Z.AI service that integrates AI-powered coding with GLM-4.6 model into popular development tools, starting with just $3 per month.
It works seamlessly in environments such as Claude Code, Cline, and OpenCode, allowing you to maintain your existing workflow while updating the base model.
Instead of per-token fees, this monthly subscription offers a basic Lite plan that provides approximately 120 prompts in a 5-hour cycle in Claude Code, making it a cost-effective choice for constant coding sessions.
In fact, for as little as $3 per month, you can gain access to GLM’s coding capabilities within supported tools like Claude Code, with plans to continually expand with additional integrations. This means you won’t have to manage usage fees.
Image from GLM coding plan
# Configuring OpenCode with the GLM coding plan
We will be using the GLM coding plan from OpenCode. OpenCode is similar to the Claude Code ecosystem and in some cases may offer better integration options than Claude Code, allowing you to easily incorporate any model from open source or proprietary Claude sources.
1. Install OpenCode using npm. Make sure you have Node.js installed. Run the following command in your terminal:
npm install -g opencode-aiIf you are using Linux, you can configure everything by typing the following command in the terminal:
curl -fsSL https://opencode.ai/install | bashIf you are using Windows, you can operate the built-in command to install OpenCode:
2. Go to GLM coding plan website and register. Choose a GLM Coding Lite subscription. You will be required to provide your credit card information and your account will be charged $3.
3. Access your dashboard and click “API keys“. Generate an API key and copy it.
4. In the terminal, enter the command:
Select the Z.AI encoding plan and paste the API key you just copied.
5. Launch OpenCode by typing opencode in the terminal. Take advantage of /model command to enter the model selection menu and select the “GLM-4.6” model provided by Z.AI Coding Plan.
Everything is ready. It’s that uncomplicated.
# Creating a Gen Pay website using the GLM-4.6 coding plan
Now we will be coding how to create a website for “Gen Pay”, a newfangled mobile-first payment solution designed for Generation Z. Our goal is to provide an engaging, responsive and accessible user experience, built using cutting-edge web technologies.
We will run OpenCode and type the prompt to create the entire site.
Hint:
Build an interactive, mobile-friendly website for your Gen Z payment solution (Gen Pay) using a newfangled web stack. Track all changes with see-through, atomic Git commits. Make the experience highly immersive and responsive.
After a few minutes, a plan was generated and we were instructed to exit planning mode and enter build mode. You can do this by pressing the Tab key on your keyboard. Then just type proceedand will start creating a structure of folders, files, and essential metadata, all while tracking changes with Git.
It took about 5 minutes to create the website. We then asked him to install all the dependencies and run the site locally.
Note: On Windows, some users have problems scrolling through the generated history. To avoid this, switch your terminal to an open source terminal willingly/eagerly.
The website looks polished; We found no noticeable errors in the first review. It contains options, animations, lively colors and all the necessary information for a payment platform.
The website contains all the required functionalities and everything works smoothly. Just make some minor changes, such as adding links to your social media accounts and a YouTube link for the demo video.
It even includes a form for users to create an account. I’m impressed; is on par with Claude Sonnet 4.
The best thing is that it tracks all changes and you can publish the project on GitHub: kingabzpro/Gen-Pay: a payment solution designed for Generation Z
# Application
The GLM-4.6 encoding plan is an excellent option if you are looking for maximum encoding capabilities at minimal cost. Plans start at just $3 per month and are compatible with popular tools like Claude Code, Kilo Code, and OpenCode. This plan offers approximately three times the operate of common alternatives (Claude Code), providing approximately 120 prompts in a 5-hour cycle on the Lite tier.
The combination of low price, higher request limit and wide integration makes it straightforward to incorporate into your existing workflow without sacrificing functionality.
I operate it with Cursor, Kilo Code, Droid and OpenCode. Best of all, I only paid $3 for the entire month and didn’t even reach my limit. Compared to the Cursor and Cline plans, I think this is the best option available.
Abid Ali Awan (@1abidaliawan) is a certified data science professional who loves building machine learning models. Currently, he focuses on creating content and writing technical blogs about machine learning and data science technologies. Abid holds a Master’s degree in Technology Management and a Bachelor’s degree in Telecommunications Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.