> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://developer.ideogram.ai/v1/api-reference/custom-model-training/list-models/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://developer.ideogram.ai/_mcp/server.

# List models

GET https://api.ideogram.ai/models

Lists custom models for the authenticated user. Use the `scope` parameter to control which models are returned. If omitted, returns both owned models and models shared with the user's organization via the model registry. `owned` returns only models created by the user. `shared` returns only models shared via the model registry, excluding the user's own models.


Reference: https://developer.ideogram.ai/v1/api-reference/custom-model-training/list-models

## Authentication

- `Api-Key` header (required) — API key for access control. Use in the header with the name \"Api-Key\"

## Request

### Query parameters

- `scope` (enum, optional) — Controls which models are returned. Omit to return both owned and shared models combined. `owned` returns only models created by the authenticated user. `shared` returns only models shared with the user's organization via the model registry.
  - Allowed values: `owned`, `shared`
- `status` (list of enum, optional) — Filter by model status. Applied to owned models only; shared models in the model registry are already filtered to available versions. Example: `?status=TRAINING&status=COMPLETED`
  - Allowed values: `CREATING`, `DRAFT`, `TRAINING`, `COMPLETED`, `ERRORED`, `ARCHIVED`

## Response

### 200

Models retrieved successfully

- `models` (list of CustomModel, required) — List of models.

## Errors

### 401 Unauthorized Error

Unauthorized

- `any`

## Types

### CustomModel

A custom model.

- `model_id` (string, required) — Unique identifier for the model (base64 URL-safe encoded UUID).
- `name` (string, required) — Display name of the model.
- `status` (enum, required) — The status of a custom model.
  - Allowed values: `CREATING`, `DRAFT`, `TRAINING`, `COMPLETED`, `ERRORED`, `ARCHIVED`
- `creation_time` (datetime, required) — When the model was created.
- `is_available_for_generation` (boolean, required) — Whether the model is available for image generation.
- `is_owned` (boolean, required) — Whether the authenticated user owns this model.
- `custom_model_uri` (string, optional, nullable) — A custom model URI in the format model/\<model\_name>/version/\<version\_name>. Use this URI when generating images with this model. Only present for models that have been registered in the model registry.
- `dataset_id` (string, optional, nullable) — ID of the dataset (collection) the model was trained from.
- `last_update_time` (datetime, optional, nullable) — When the model was last updated.

## Examples

**Response**

```json
{
  "models": [
    {
      "model_id": "model_id",
      "name": "name",
      "status": "CREATING",
      "creation_time": "2024-01-15T09:30:00Z",
      "is_available_for_generation": true,
      "is_owned": true,
      "custom_model_uri": "model/my-custom-model/version/1",
      "dataset_id": "dataset_id",
      "last_update_time": "2024-01-15T09:30:00Z"
    },
    {
      "model_id": "model_id",
      "name": "name",
      "status": "CREATING",
      "creation_time": "2024-01-15T09:30:00Z",
      "is_available_for_generation": true,
      "is_owned": true,
      "custom_model_uri": "model/my-custom-model/version/1",
      "dataset_id": "dataset_id",
      "last_update_time": "2024-01-15T09:30:00Z"
    }
  ]
}
```

**SDK Code**

```python
import requests

url = "https://api.ideogram.ai/models"

headers = {"Api-Key": "<apiKey>"}

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

print(response.json())
```

```javascript
const url = 'https://api.ideogram.ai/models';
const options = {method: 'GET', headers: {'Api-Key': '<apiKey>'}};

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://api.ideogram.ai/models"

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

	req.Header.Add("Api-Key", "<apiKey>")

	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://api.ideogram.ai/models")

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

request = Net::HTTP::Get.new(url)
request["Api-Key"] = '<apiKey>'

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://api.ideogram.ai/models")
  .header("Api-Key", "<apiKey>")
  .asString();
```

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

$client = new \GuzzleHttp\Client();

$response = $client->request('GET', 'https://api.ideogram.ai/models', [
  'headers' => [
    'Api-Key' => '<apiKey>',
  ],
]);

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

```csharp
using RestSharp;

var client = new RestClient("https://api.ideogram.ai/models");
var request = new RestRequest(Method.GET);
request.AddHeader("Api-Key", "<apiKey>");
IRestResponse response = client.Execute(request);
```

```swift
import Foundation

let headers = ["Api-Key": "<apiKey>"]

let request = NSMutableURLRequest(url: NSURL(string: "https://api.ideogram.ai/models")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"
request.allHTTPHeaderFields = headers

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```