> ## Documentation Index
> Fetch the complete documentation index at: https://docs.deepinfra.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart

> Make your first API call in 60 seconds — no installation required.

You don't need to install anything to do your first inference. You only need [your access token](https://deepinfra.com/dash/api_keys). DeepInfra gives you access to 100+ open-source models at the best prices available.

## Step 1: Get your API key

Go to the [Dashboard](https://deepinfra.com/dash/api_keys) and create an API key. If you're logged in, examples throughout the docs will have your token pre-filled.

## Step 2: Make your first API call

<CodeGroup>
  ```bash cURL theme={null}
  curl "https://api.deepinfra.com/v1/openai/chat/completions" \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
    -d '{
        "model": "deepseek-ai/DeepSeek-V3",
        "messages": [
          {
            "role": "user",
            "content": "Hello!"
          }
        ]
      }'
  ```

  ```python Python theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="$DEEPINFRA_TOKEN",
      base_url="https://api.deepinfra.com/v1/openai",
  )

  response = client.chat.completions.create(
      model="deepseek-ai/DeepSeek-V3",
      messages=[{"role": "user", "content": "Hello!"}],
  )
  print(response.choices[0].message.content)
  ```

  ```javascript JavaScript theme={null}
  import OpenAI from "openai";

  const openai = new OpenAI({
    apiKey: "$DEEPINFRA_TOKEN",
    baseURL: "https://api.deepinfra.com/v1/openai",
  });

  const response = await openai.chat.completions.create({
    model: "deepseek-ai/DeepSeek-V3",
    messages: [{ role: "user", content: "Hello!" }],
  });
  console.log(response.choices[0].message.content);
  ```
</CodeGroup>

The response looks like this:

```json theme={null}
{
    "id": "chatcmpl-guMTxWgpFf",
    "object": "chat.completion",
    "created": 1694623155,
    "model": "deepseek-ai/DeepSeek-V3",
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "Hello! It's nice to meet you. Is there something I can help you with?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 15,
        "completion_tokens": 16,
        "total_tokens": 31,
        "estimated_cost": 0.0000268
    }
}
```

## That's it

You're using the [OpenAI Chat Completions API](/chat/overview) — the same interface you already know. The only changes are:

* **Base URL**: `https://api.deepinfra.com/v1/openai`
* **API key**: your DeepInfra token
* **Model**: any model from [our catalog](https://deepinfra.com/models)

The official OpenAI Python and Node.js libraries work out of the box.

## Install the SDK (optional)

<CodeGroup>
  ```bash Python theme={null}
  pip install openai
  ```

  ```bash JavaScript theme={null}
  npm install openai
  ```
</CodeGroup>

## Next steps

<CardGroup cols={2}>
  <Card title="Chat Completions" icon="comments" href="/chat/overview">
    Learn about the full chat completions API.
  </Card>

  <Card title="Streaming" icon="wave-pulse" href="/chat/streaming">
    Stream responses token by token.
  </Card>

  <Card title="Tool Calling" icon="wrench" href="/chat/tool-calling">
    Give models access to external functions.
  </Card>

  <Card title="Model Catalog" icon="brain" href="/models">
    Browse 100+ available models.
  </Card>
</CardGroup>