Image by author
# Introduction
Vibe coding is about building fast, staying focused, and maintaining momentum without constantly thinking about usage limits or cost.
If you’re using cloud code through an API, billing can add up very quickly. Frequent iteration, debugging, and experimentation make API-based workflows costly for long coding sessions. This is one of the main reasons why Cloud Code Pro and Max subscriptions have become popular among Vibe coders and engineers, as they provide direct access to models without per-request pricing.
These plans come with usage limits that reset after four hours, and in some cases even include weekly limits. This makes them far more predictable and suitable for long, uninterrupted coding sessions.
In this article, we’ll explore the top seven coding plans available today, what each plan offers, and what type of builder or engineer they’re best suited for.
# 1. Cloud Code Plans
cloud code plans This is where predictive AI coding subscriptions really take off. As developers began using the cloud for long and highly iterative coding sessions, cloud APIs became too expensive for continued use.
Paying per token made it difficult to freely experiment, refactor code, or stay in creative flow. To solve this, Anthropic introduced subscription plans that bundle cloud cloud access into fixed monthly tiers with a five-hour usage reset and additional weekly limits on higher plans.
This approach made extended coding sessions affordable and manageable, and it established the model that many modern AI coding schemes now follow.
| Plan | Monthly Price (USD) | usage limitations |
|---|---|---|
| cloud pro | 20 | About 10 to 40 cloud code prompts per 5 hours |
| Cloud Max (5×) | 100 | About 50 to 200 signals per 5 hours |
| Cloud Max (20×) | 200 | About 200 to 800 signals per 5 hours |
Usage resets every five hours. A weekly limit may also apply if the five-hour period is not fully used.
# 2. ChatGPT Codec Schemes
chatgpt codec plans The way OpenAI is involved codec coding capabilities Within the regular ChatGPT subscription, offers structured usage limits rather than pay-as-you-go pricing.
Codecs are included in the ChatGPT Plus, Pro, Business, and Enterprise plans, and these tiers control how many messages you can send in a given period as well as how much coding you can do before the limit takes effect.
Usage limits vary by plan and can be reset over a certain time window, making it easier for developers to plan longer coding sessions than with API-based billing.
These structured plans helped establish a more predictable and affordable way of building with codecs inside ChatGPT for many users.
| Plan | Monthly Price (USD) | usage limitations |
|---|---|---|
| chatgpt plus | 20 | About 30 to 150 messages every 5 hours |
| chatgpt pro | 200 | About 300 to 1500 messages every 5 hours |
| chatgpt business | ~30 per user | High per-user limit, five-hour window |
| Chatgpt Enterprise | custom | custom quota |
Message limits vary by model and message complexity.
# 3. Google AI Plans
Google AI Plan increase usage limit for gemini code assist And gemini cli By providing customers with higher daily quotas and priority access to more powerful models and devices.
Unlike some other coding schemes, which reset limits on small sprint windows, Google AI Pro and Ultra enforce limits primarily on daily basisWhich means you can use your allocation all day without worrying about small resets.
Subscribers with these plans automatically receive increased daily request limits for coding workflows compared to free accounts, making long sessions and heavy development work more practical and predictable than relying on free tier constraints alone.
| Plan | Monthly Price (USD) | usage limitations |
|---|---|---|
| google ai pro | ~20 | Around 500 to 1,500 coding requests per day on Gemini Code Assist and Gemini CLI |
| google ai ultra | ~250 | Approximately 3,000 to 10,000 coding requests per day with highest priority access |
Usage limits are primarily enforced on a daily basis. The exact quota may vary depending on the tool, model version, and request complexity, and Google may adjust the limits without public notice.
# 4. GLM Coding Schemes
GLM coding plans provide one of the most affordable and flexible ways to do AI-assisted coding by bundling quick calculations into fixed monthly tiers that reset every five hours.
These plans are designed for agent-driven coding workflows and provide developers with predictable quota on popular tools like Cloud Code, Cline, and OpenCode without the high per-token costs of some other subscriptions.
At the lowest level, planning begins approximately $3 per month And already offers enough accelerated capability to support frequent coding sessions, while the higher end levels go above and beyond to meet more demanding development needs.
| Plan | Monthly Price (USD) | usage limitations |
|---|---|---|
| GLM Lite | ~3 | About 120 signals per 5 hours |
| glm pro | ~15 | About 600 signals per 5 hours |
| glm max | ~30 | About 2,400 signals every five hours |
The prompt count resets every five hours, giving developers a predictable window to write, debug, and iterate code.
# 5. Minimax Coding Schemes
minimax coding schemes Offer one of the clearest and clearest pricing structures for AI coding, making them especially attractive to developers who want predictable quotas without high API costs.
Each level provides a fixed number of signals within a five-hour rolling window, and one signal goes well beyond a signal to the underlying model as it can internally represent multiple requests.
These plans are powered by the MiniMax M2.1 model, designed for efficient coding and agentive workflow, and they give developers more control over cost and usage than pay-as-you-go options.
| Plan | Monthly Price (USD) | usage limitations |
|---|---|---|
| minimax starter | 10 | 100 signals per 5 hours |
| minimax plus | 20 | 300 signals every 5 hours |
| minimax max | 50 | 1000 signals per 5 hours |
The prompt count resets every five hours, giving developers a clear, predictable window to write, debug, and iterate on code without worrying about unexpected API billing.
# 6. KM coding schemes
Kmi Coding plans are included with Kmi subscriptions and provide coding request quotas on a weekly rolling basis rather than short sprint windows.
When you subscribe, you receive a set number of weekly coding requests that refresh every seven days from your activation date, and unused quota does not carry over beyond the weekly cycle.
The exact numerical quotas are not published publicly, but user reports and dashboard references suggest that Starter members may see 2,000 to 3,500 requests per week, while Pro or Ultra members receive significantly larger weekly allowances.
This weekly quota system makes plans predictable for developers who code regularly throughout the week, rather than for short periods.
| Plan | Monthly Price (USD) | usage limitations |
|---|---|---|
| km membership starter | ~9 to 10 | ~2,000 to 3,500 coding requests per week |
| km membership pro or ultra | ~49 | ~8,000 to 15,000 coding requests per week |
Quota refreshes on a seven-day rolling cycle starting from subscription activation. The exact numerical ranges are visible in the user dashboard but are not published as fixed public numbers.
# 7. Cerebras Code Schemes
Cerebras code plans are designed for developers who need very high throughput and speed For AI coding workflow. Rather than limiting the number of signals or messages, Cerebras imposes limits primarily on tokens per dayGives customers massive daily allowances that support continuous, ongoing coding rather than short sprint windows.
with access to Fast inference hardware running up to approximately 2,000 tokens per second And with large daily token quotas, these plans are among the highest capacity options available for Vibe coding and heavy agent-driven development work.
| Plan | Monthly Price (USD) | usage limitations |
|---|---|---|
| cerebras code pro | 50 | 24 million tokens per day |
| cerebras code max | 200 | 120 million tokens per day |
| Sample | About. Speed ​​(tokens per second) |
|---|---|
| zay glm 4.7 | ~1,000 |
| OpenAI GPT-OSS 120B | ~3,000 |
Cerebras code plans allow developers to generate and edit code continuously all day long with large token budgets and the highest sustained throughput in the industry.
# Simple comparison of popular AI coding schemes
This table provides a quick comparison of popular AI coding plans based on price, minimum usable range, and usage reset method, so you can easily see which option fits your coding style.
| provider | Monthly Price (USD) | minimum usage allowance | reset style | best for |
|---|---|---|---|---|
| cloud code | 20 to 200 | ~10 signals per 5 hours | Rolling of 5 hours and weekly caps | long iterative coding sessions |
| chatgpt codecs | 20 to 200+ | ~30 messages per 5 hours | walking for 5 hours | General coding and debugging |
| google ai | ~20 to ~250 | ~500 requests per day | daily reset | static daily coding |
| glm | ~3 to ~30 | ~120 signals per 5 hours | walking for 5 hours | Cheapest and Best Value for Vibe Coding |
| minimal maximum | 10 to 50 | 100 signals per 5 hours | walking for 5 hours | sprint based vibe coding |
| km | ~10 to 49 | ~2,000 requests per week | weekly rolling quota | continuous weekly coding |
| cerebrus | 50 to 200 | 24 million tokens per day | daily reset | High speed and continuous coding |
abid ali awan (@1Abidaliyawan) 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. Their vision is to create AI products using graph neural networks for students struggling with mental illness.
