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

# Available Models

> Browse all available AI models on AirCloud.

AirCloud provides access to a variety of AI models for inference. Models are accessible through the Air API using an OpenAI-compatible interface.

## Text models

Conversational AI, reasoning, and code generation.

| Model                                      | Description                                          | Input              | Output           |
| ------------------------------------------ | ---------------------------------------------------- | ------------------ | ---------------- |
| [Qwen3.5-35B-A3B](/models/qwen3-5-35b-a3b) | High-performance MoE model with multimodal support.  | \$0.1625/1M tokens | \$1.3/1M tokens  |
| [Qwen3.5-9B](/models/qwen3-5-9b)           | Compact and efficient model with multimodal support. | \$0.05/1M tokens   | \$0.15/1M tokens |

## Audio models

Text-to-speech and voice synthesis.

| Model                          | Description                                 | Input         | Output        |
| ------------------------------ | ------------------------------------------- | ------------- | ------------- |
| [Qwen3-TTS](/models/qwen3-tts) | Multilingual TTS with custom voice cloning. | \$0/1M tokens | \$0/1M tokens |

## Getting Started

<Steps>
  <Step title="Get your API key">
    Sign up for an [AirCloud account](https://aieev.com) and generate an API key from the dashboard.
  </Step>

  <Step title="Make your first request">
    Replace `YOUR_API_KEY` with your actual key and run the code below.
  </Step>
</Steps>

<CodeGroup>
  ```python Python theme={null}
  import requests

  response = requests.post(
      "https://external.aieev.cloud:5007/ai/api/v1/chat/completions",
      headers={
          "Authorization": "Bearer YOUR_API_KEY",
          "Content-Type": "application/json"
      },
      json={
          "model": "qwen/qwen3.5-9b",
          "messages": [{"role": "user", "content": "Hello!"}]
      }
  )

  result = response.json()
  print(result["choices"][0]["message"]["content"])
  ```

  ```bash cURL theme={null}
  curl --request POST \
    --url https://external.aieev.cloud:5007/ai/api/v1/chat/completions \
    --header 'Authorization: Bearer YOUR_API_KEY' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "qwen/qwen3.5-9b",
      "messages": [{"role": "user", "content": "Hello!"}]
    }'
  ```

  ```javascript Node.js theme={null}
  const response = await fetch(
    "https://external.aieev.cloud:5007/ai/api/v1/chat/completions",
    {
      method: "POST",
      headers: {
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
      },
      body: JSON.stringify({
        model: "qwen/qwen3.5-9b",
        messages: [{ role: "user", content: "Hello!" }]
      })
    }
  );

  const result = await response.json();
  console.log(result.choices[0].message.content);
  ```
</CodeGroup>