Zen

Vikasit Code subscription plans and rate limits.

Vikasit Code Zen is the subscription service that powers Vikasit Code. Choose a plan, sign in with GitHub, and start coding with all 5 AI models hosted in India.

Plans

Vikasit Code offers three subscription plans. All plans include access to every model.

Plan	Price	Best for
Lite	$10/month	Individual developers, light usage
Pro	$30/month	Active developers, daily coding sessions
Max	$100/month	Power users, heavy usage, team leads

Every plan includes all 5 models: Flash (1x), Standard/3 (3x), Coder (7x), Max (15x), and Fast (18x). The difference between plans is the rate limit budget.

How it works

Sign in to Vikasit Code Zen with your GitHub account.
Choose a plan (Lite, Pro, or Max) and complete payment.
Copy your API key.
Run the /connect command in the TUI, select Vikasit, and paste your API key.
```
/connect
```
Run /models in the TUI to see all available models.
```
/models
```

Rate limits

Vikasit Code uses a rolling window rate limit system with three windows:

Window	Description
5 hour	Rolling 5-hour usage cap
7 day	Rolling 7-day usage cap
30 day	Rolling 30-day usage cap

When you hit the limit in any window, requests are paused until usage rolls off.

Token multipliers

Each model has a multiplier that determines how much of your rate limit budget it consumes per request.

Model	Multiplier
Flash	1x
Standard/3	3x
Coder	7x
Max	15x
Fast	18x

For example, if you make a request using the Coder model (7x), it costs 7 times more of your rate limit budget than a Flash request (1x). This means you can make more requests with cheaper models within the same window.

Rate limits by plan

Each plan has different rate limit budgets for each window. The higher the plan, the more you can use within each rolling window.

Window	Lite	Pro	Max
5 hour	Base	3x Lite	10x Lite
7 day	Base	3x Lite	10x Lite
30 day	Base	3x Lite	10x Lite

Authentication

Vikasit Code uses GitHub OAuth for authentication. Sign in with your GitHub account at vikasit.ai/auth.

There is no email/password login. GitHub is the only authentication method.

Privacy

All models are hosted in India by Chandorkar Technologies. We follow a zero-retention policy and do not use your data for model training.

Vikasit Code does not store your code or context data. All processing happens locally or through direct API calls to our model infrastructure.

Changing plans

You can upgrade or downgrade your plan at any time from the console. Changes take effect immediately.

Upgrading: Your new rate limits apply right away.
Downgrading: Takes effect at the start of your next billing cycle.

Cancellation

You can cancel your subscription at any time from the console. Your access continues until the end of your current billing period.

For Teams

Zen also works for teams. You can invite teammates, assign roles, and manage usage.

Roles

You can invite teammates to your workspace and assign roles:

Admin: Manage members, API keys, and billing
Member: Manage only their own API keys

Admins can also set usage limits for each member.

Model access

Admins can enable or disable specific models for the workspace. Requests made to a disabled model will return an error.

FAQ

Do all plans include all models?

Yes. Every plan (Lite, Pro, and Max) includes access to all 5 models: Flash, Standard/3, Coder, Max, and Fast. The difference between plans is the rate limit budget, not which models are available.

What happens when I hit a rate limit?

When you hit the limit in any rolling window (5 hour, 7 day, or 30 day), requests are paused until enough usage rolls off. You can use a model with a lower multiplier to stretch your budget further.

Can I use Vikasit Code without a subscription?

Vikasit Code requires either a subscription plan (Lite, Pro, or Max) or a Go balance for pay-as-you-go access. There is no free tier.

How do token multipliers work?

Each model has a multiplier (1x to 18x) that determines how much of your rate limit budget it uses per request. Flash at 1x is the most budget-friendly. Fast at 18x uses the most. Choose the right model for the task to maximize your usage.