# Introduction
For a while, “unlimited” AI coding plans felt like the best deal in developer tools. You paid a fixed monthly fee and used powerful coding agents as much as you wanted. But that model was never going to last forever. Running advanced AI models is expensive, and many companies were likely burning money by offering heavy usage at discount prices.
Now, many AI coding platforms are moving toward more controlled subscription models. Some are token-based, some are credit-based, and others use hourly, weekly, or rolling usage limits. The idea is the same: you still pay for access, but your usage is now measured more carefully.
I actually like this new direction when it is done properly. For developers who work in bursts, usage-based or credit-based plans can be more flexible than vague “unlimited” plans that suddenly slow down or block you. You know what you are paying for, and you can plan your coding sessions better.
That said, not all AI coding subscriptions offer the same value. Some give you generous usage for the price, while others burn through credits quickly or make the limits hard to understand.
In this article, I’ll share five AI coding subscription plans that I think provide the best value for developers. Some 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 heavily you use AI coding tools.
# 1. MiniMax Token Plan
I am a big fan of the MiniMax Token Plan because it gives you a lot of usage for a low price. For $20/month, you get access to MiniMax’s coding models through the web and desktop app, and you can also use 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 feels more flexible than hourly or weekly coding limits. You get a large token allowance, and for daily coding, debugging, refactoring, and agentic workflows, it can last a long time. If you want to start small, you can also buy prepaid credits, starting at $5, and use them when needed.
For me, this is one of the best-value plans because it gives developers high usage without the high price.
# 2. MiMo Token Plan
I used the MiMo Token Plan for a full month after getting it at a very cheap promotional price. Trust me, I ended up using it more than GLM, MiniMax, Codex, and Gemini. The main reason is simple: it is fast, uses fewer reasoning tokens, and the UI generation is actually very good.
The plan works in a similar way to MiniMax. You subscribe monthly and receive credits that you can use across different MiMo models on the platform. This makes it useful if you like testing new models, running coding agents, or building your own custom AI workflows.
Screenshot from Xiaomi MiMo API Open Platform
Xiaomi’s MiMo-V2.5-Pro supports up to a 1 million-token context window and is built for agentic coding and long-horizon software tasks. It also integrates with coding and agent tools such as OpenCode, Cline, OpenClaw, Kilo Code, and Blackbox. While it is not a full coding IDE subscription, it works well for custom workflows, coding agents, and large-context development tasks.
# 3. GLM Coding Plan
The GLM Coding Plan has changed a lot recently, and not everyone is happy about it. It is no longer the cheapest coding subscription available. Z.ai has increased its prices, likely to justify the cost of maintaining the same coding experience, improving integrations, and releasing better models like GLM-5.2.
I understand why they made the change. Running large coding models is expensive, and Z.ai is competing with big AI companies like OpenAI. Coming up with better models requires research, compute, and infrastructure, and all of that costs money.
Screenshot from GLM Coding Plan
That said, GLM Coding Plan is still useful for developers who want a dedicated coding-agent subscription. It works with tools like Claude Code, Cline, Kilo Code, OpenCode, OpenClaw, and other supported coding tools. It is focused more on real coding workflows than general chat.
# 4. OpenAI Codex
I use the OpenAI Codex VS Code extension almost every day, and I have been using it for months now. I do not have many complaints. It understands my codebase well, works nicely inside VS Code, and the best part is that I do not need a separate coding subscription. It comes with my ChatGPT plan.
Recently, I also added extra Codex credits so that when I hit the daily or weekly limits, my work does not stop. And trust me, if you are using it for serious coding sessions, those limits can finish quickly. Having backup credits gives you some cushion.
Screenshot from ChatGPT Plans
OpenAI Codex is a strong choice for developers who already use ChatGPT for research, writing, debugging, planning, and coding. It fits nicely into the ChatGPT ecosystem and can help with code generation, debugging, project edits, and understanding large codebases.
# 5. Kimi Code
Kimi Code is not a pure prepaid token plan like MiniMax, but I still think it belongs on this list because it gives developers strong usage for the price. Instead of buying tokens once and using them until they run out, Kimi Code gives you a weekly refreshed quota.
What makes it useful is that it is built for real coding workflows. You can use it in the web app, VS Code, CLI, and other developer tools. It can help with codebase understanding, terminal tasks, file edits, debugging, refactoring, and building features.
Screenshot from Kimi Code with K2.7 Code
With the new Kimi K2.7 Code model, the plan feels even more valuable. It is good for developers who want an agentic coding assistant without paying the high price of some other premium coding tools.
# Final Recommendation
Here is a quick comparison of all five plans, based on pricing style, workflow, and where I think each one gives the best value.
| Plan | Pricing Style | Best For | Why It Is Good Value |
|---|---|---|---|
| MiniMax Token Plan | Monthly token plan + prepaid credits | Developers who want high usage at a low price | Large token allowance, low starting price, and support for many coding tools |
| MiMo Token Plan | Monthly credit-based plan | Developers testing models and custom AI workflows | Fast responses, good UI generation, token efficiency, and 1M-token context support |
| GLM Coding Plan | Quota-based coding subscription | Developers who want a dedicated coding-agent plan | Access to strong GLM coding models like GLM-5.2 and support for agentic coding tools |
| OpenAI Codex | Included with ChatGPT plans + extra credits | Developers already using ChatGPT | No separate coding subscription needed, strong VS Code experience, and backup credits available |
| Kimi Code | Weekly refreshed quota plan | Developers who want IDE, CLI, and project-level coding help | Strong coding model, practical workflow support, and good usage for the price |
If you are already paying for a ChatGPT monthly plan, I would suggest using OpenAI Codex everywhere first. It is already included with your subscription, works well inside VS Code, and understands your codebase nicely. The only issue is that if you use it heavily, the usage limits can finish within an hour of serious work.
To counter that, I would suggest getting either the GLM Coding Plan or the MiniMax Token Plan as a backup. MiniMax is better if you want strong value and high usage for a lower price, while GLM is useful if you want a dedicated coding-agent subscription with strong GLM models.
If you want the most value for your money and need huge discounted usage, I would suggest the MiMo Token Plan. It is fast, token-efficient, and great for experimenting with coding agents and custom workflows.
Kimi Code is also a good option if you like the Kimi ecosystem. A lot of users prefer Kimi models over other open-source models, and its weekly quota system makes it useful for regular coding work.
Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in technology management and a bachelor’s degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.
