> For the complete documentation index, see [llms.txt](https://django-cloud.gitbook.io/django-cloud-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://django-cloud.gitbook.io/django-cloud-docs/reference/pricing.md).

# Pricing

There are two parts to what a deployment costs: the DjangoCloud plan, and the servers and databases that run your app.

## Plans

| Plan           | Price               | What it is                                                                                                                  |
| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------- |
| **Starter**    | $0.99 a month       | Bring your own cloud. Your app runs in your own AWS account and you pay AWS directly, at cost. The plan covers the tooling. |
| **Company**    | from $9.99 a month  | We host a simple Django app for you, infrastructure included. **Coming soon.**                                              |
| **Enterprise** | from $49.99 a month | Hosting plus a managed Postgres database, a storage bucket and more headroom. **Coming soon.**                              |

See the [pricing section on the website](https://djangocloud.dev/#pricing) for the current feature lists.

## Servers

A server is one running instance of your app. A project running three Small instances is three Small servers.

On **Starter** you pay AWS the list price in the middle column, directly. On the hosted plans the price in the last column covers the server and the infrastructure around it: the AWS list price plus about $3, rounded up to the next $5, per instance.

| Size   | vCPU          | RAM    | AWS list price / month | Hosted price / month |
| ------ | ------------- | ------ | ---------------------- | -------------------- |
| Nano   | 0.25 (shared) | 512 MB | $7                     | $10                  |
| Micro  | 0.25 (shared) | 1 GB   | $10                    | $15                  |
| Small  | 0.5 (shared)  | 1 GB   | $15                    | $20                  |
| Medium | 1             | 2 GB   | $40                    | $45                  |
| Large  | 2             | 4 GB   | $80                    | $85                  |
| XLarge | 4             | 8 GB   | $160                   | $165                 |

Shared vCPU means the processor is shared with other workloads and can burst.

## Postgres databases

Managed Postgres, encrypted at rest. **High availability** adds a standby in a second zone for failover, at twice the AWS price before the same markup.

| Size    | vCPU | RAM   | SSD    | AWS list price / month | Hosted price / month | Hosted, high availability / month |
| ------- | ---- | ----- | ------ | ---------------------- | -------------------- | --------------------------------- |
| Micro   | 2    | 1 GB  | 40 GB  | $15                    | $20                  | $35                               |
| Small   | 2    | 2 GB  | 80 GB  | $30                    | $35                  | $65                               |
| Medium  | 2    | 4 GB  | 120 GB | $60                    | $65                  | $125                              |
| Large   | 2    | 8 GB  | 240 GB | $115                   | $120                 | $235                              |
| XLarge  | 4    | 16 GB | 480 GB | $245                   | $250                 | $495                              |
| 2XLarge | 8    | 32 GB | 960 GB | $490                   | $495                 | $985                              |

{% hint style="info" %}
AWS prices change. The AWS columns are list prices at the time of writing, and the hosted prices are derived from them. Check the [AWS Lightsail pricing page](https://aws.amazon.com/lightsail/pricing/) for the current numbers.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://django-cloud.gitbook.io/django-cloud-docs/reference/pricing.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.