> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.mixlayer.com/api-reference/inference-ap-is/models/list-models/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.mixlayer.com/_mcp/server.

# List models

GET https://models.mixlayer.ai/v1/models

Lists models available to the authenticated caller.

Reference: https://docs.mixlayer.com/api-reference/inference-ap-is/models/list-models

## Authentication

- `Authorization` header (bearer token, required) — Mixlayer API key or console user session supplied as a Bearer token.

## Response

### 200

Available models

- `data` (list of ModelInfo, required) — Models available to the authenticated caller.
- `object` (string, required) — Object type, always `list`.

## Errors

### 401 Unauthorized Error

Missing or invalid API key

- `error` (OpenAIErrorDetails, required)

### 403 Forbidden Error

The API key lacks inference permission

- `error` (OpenAIErrorDetails, required)

## Types

### ModelInfo

OpenAI-compatible model metadata.

- `created` (long, required) — Creation timestamp.
- `id` (string, required) — Model identifier.
- `object` (string, required) — Object type, always `model`.
- `owned_by` (string, required) — Organization that owns the model.

### OpenAIErrorDetails

- `message` (string, required)
- `type` (string, required)
- `code` (string, optional, nullable)

## Examples

**Response**

```json
{
  "data": [
    {
      "created": 1,
      "id": "string",
      "object": "string",
      "owned_by": "string"
    }
  ],
  "object": "string"
}
```

**SDK Code**

```python
import requests

url = "https://models.mixlayer.ai/v1/models"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.json())
```

```javascript
const url = 'https://models.mixlayer.ai/v1/models';
const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go
package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://models.mixlayer.ai/v1/models"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby
require 'uri'
require 'net/http'

url = URI("https://models.mixlayer.ai/v1/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body
```

```java
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.get("https://models.mixlayer.ai/v1/models")
  .header("Authorization", "Bearer <token>")
  .asString();
```

```php
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('GET', 'https://models.mixlayer.ai/v1/models', [
  'headers' => [
    'Authorization' => 'Bearer <token>',
  ],
]);

echo $response->getBody();
```