# Entry
For a while, “unlimited” AI coding plans seemed to be the best deal when it came to developer tools. You paid a flat monthly fee and used powerful coding agents as much as you wanted. But this model was never intended to last forever. Running advanced AI models is high-priced, and many companies were likely wasting money by offering bulky employ at discounted prices.
Currently, many AI coding platforms are moving towards more controlled subscription models. Some are token-based, some are credit-based, and some employ hourly, weekly, or rolling usage limits. The idea is the same: you still pay for access, but your usage is now more precisely measured.
I actually like this recent direction if done correctly. For developers working in batches, usage-based or credit-based plans can be more pliant than vague “unlimited” plans that suddenly tardy down or block. You know what you’re paying for and can better plan your coding sessions.
That said, not all AI coding subscriptions offer the same value. Some provide generous usage for the price, while others employ up credits quickly or make limits challenging to understand.
In this article, I’ll share five AI coding subscription plans that I believe provide the best value for developers. Some of them are token plans, some are credit-based, and some are quota-based, but all of them are useful depending on your workflow. These picks are based on my own experience, so your results may vary depending on how extensively you employ AI coding tools.
# 1. MiniMax token plan
I’m a huge fan of the so-called MiniMax token plan because it provides many uses at a low price. For $20 a month, you get access to MiniMax coding models via the web and desktop app, and you can employ it with tools like Claude Code, Cursor, Cline, Kilo Code, Roo Code, Codex CLI, and OpenCode.
Screenshot from Token Plan – MiniMax API Platform
What I like most is that it is more pliant than hourly or weekly coding limits. You get a vast allocation of tokens, which can take a long time for everyday coding, debugging, refactoring, and agentic workflows. If you want to start tiny, you can also purchase prepaid credits, starting at $5, and employ them as needed.
For me, this is one of the best value plans because it gives developers high usage without the high price tag.
# 2. MiMo token plan
I used it MiMo token plan for a whole month after purchase at a very low, promotional price. Trust me, I ended up using it more than GLM, MiniMax, Codex and Gemini. The main reason is basic: it’s rapid, it uses fewer reasoning tokens, and the UI generation is really, really good.
The plan works in a similar way to MiniMax. You subscribe monthly and receive credits that you can employ on various MiMo models on the platform. This makes it useful if you like to test recent models, run coding agents, or create your own custom AI workflows.
Screenshot from Xiaomi MiMo open API platform
Xiaomi’s MiMo-V2.5-Pro supports a context window of up to 1 million tokens and is intended for agent-based coding and long-term programming tasks. It also integrates with coding tools and agents such as OpenCode, Cline, OpenClaw, Kilo Code, and Blackbox. While it’s not a full coding IDE subscription, it works well for custom workflows, coding agents, and high-context development tasks.
# 3. GLM coding plan
The GLM coding plan A lot has changed recently and not everyone is elated about it. It’s no longer the cheapest coding subscription available. Z.ai has raised its prices, which likely justifies the cost of maintaining the same coding experience, improving integrations, and releasing better models like the GLM-5.2.
I understand why they made the change. Running vast coding models is high-priced, and Z.ai competes with vast AI companies like OpenAI. Developing better models requires research, computation, and infrastructure, all of which cost money.
Screenshot from GLM coding plan
That said, the GLM coding plan is still useful for developers who want a dedicated coding agent subscription. Works with tools such as Claude Code, Cline, Kilo Code, OpenCode, OpenClaw and other supported coding tools. It focuses more on the actual coding processes than general chat.
# 4. OpenAI Code
I employ it OpenAI Codex The VS Code extension almost every day, and I’ve been using it for months now. I don’t have many complaints. It understands my code well, works well in VS Code, and the best part is that I don’t need a separate coding subscription. It comes with my ChatGPT plan.
I also recently added additional Codex credits so that my work doesn’t stop once I reach my daily or weekly limit. And trust me, if you’re using it for solemn coding sessions, those limits can quickly get exhausted. Having backup funds provides some cushion.
Screenshot from ChatGPT Plans
OpenAI Codex is a good choice for developers who already employ ChatGPT for research, writing, debugging, planning, and coding. It fits well into the ChatGPT ecosystem and can lend a hand you generate code, debug, edit projects, and understand vast codebases.
# 5. Some code
Some code It’s not a pure prepaid token plan like MiniMax, but I still think it belongs on this list because it gives developers a lot of employ at this price. Instead of purchasing tokens once and using them until they run out, Kimi Code provides a weekly refresh limit.
What makes it useful is that it is built with real coding workflows in mind. You can employ it in web app, VS Code, CLI and other development tools. It can lend a hand you understand the code base, terminal tasks, file editing, debugging, refactoring, and feature building.
Screenshot from Kimi code with code K2.7
With the recent Kimi K2.7 Code model, the plan seems even more valuable. It is good for developers who want an agent-based coding assistant without paying the high price of other premium coding tools.
# Final recommendation
Here’s a quick comparison of all five plans, based on pricing style, workflow, and where I think each offers the best value.
| Plan | Pricing style | Best for | Why it’s a good value |
|---|---|---|---|
| MiniMax token plan | Monthly token plan + prepaid credits | Developers who want high utilization at a low price | Gigantic token limit, low starting price and support for multiple encoding tools |
| MiMo token plan | Monthly credit-based plan | Developers test models and custom AI workflows | Rapid responses, good UI generation, token performance, and 1M token context support |
| GLM coding plan | Quota-based coding subscription | Developers who want a dedicated coding agent plan | Access to robust GLM coding models such as GLM-5.2 and support for agent-based coding tools |
| OpenAI Codex | Included with ChatGPT + Extra Credits plans | Developers are already using ChatGPT | No separate coding subscription required, solid VS Code experience, and backup funds available |
| Some code | Weekly refreshed quota plan | Developers who want lend a hand with coding at the IDE, CLI and project level | Robust coding model, practical workflow support and good employ for the price |
If you are already paying for the ChatGPT monthly plan, I suggest using OpenAI Codex everywhere first. It’s already included in your subscription, works well in VS Code, and understands your code base well. The only problem is that if you employ it extensively, your usage limits may be exhausted within an hour of solemn work.
To counteract this, I would suggest getting either the GLM Encoding Plan or the MiniMax Token Plan as a backup. MiniMax is better if you want great value and high utilization at a lower price, while GLM is useful if you want a subscription to a dedicated coding agent with GLM’s powerful models.
If you want to get the best value for money and need a huge discount on usage, I suggest the MiMo token plan. It’s rapid, token proficient, and great for experimenting with coding agents and custom workflows.
Kimi Code is also a good option if you like the Kimi ecosystem. Many users prefer Kimi models to other open source models, and the weekly assignment system makes them useful for regular coding work.
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.