---
title: "Perplexity LLM Responses Models List"
url: "https://docs.dataforseo.com/v3/ai_optimization/perplexity/llm_responses/models/"
date: "2026-06-06"
---

## Perplexity LLM Responses Models List

 

 

      

Pricing

 Your account will not be charged for using this API

 

  ![checked](https://docs.dataforseo.com/v3/wp-content/themes/dataforseo/assets/img/icons/checked-circle.svg) GET  https://api.dataforseo.com/v3/ai\_optimization/perplexity/llm\_responses/models     

 You will receive the list of available Perplexity AI models by calling this API.  
   
As a response of the API server, you will receive [JSON](https://en.wikipedia.org/wiki/JSON)-encoded data containing a `tasks` array with the information specific to the set tasks.

| Field name | Type | Description |
|---|---|---|
| `version` | string | *the current version of the API* |
| `status_code` | integer | *general status code*   you can find the full list of the response codes [here](https://docs.dataforseo.com/v3/appendix/errors.md) |
| `status_message` | string | *general informational message*   you can find the full list of general informational messages [here](https://docs.dataforseo.com/v3/appendix/errors.md) |
| `time` | string | *execution time, seconds* |
| `cost` | float | *total tasks cost, USD* |
| `tasks_count` | integer | *the number of tasks in the **`tasks`** array* |
| `tasks_error` | integer | *the number of tasks in the **`tasks`** array returned with an error* |
| **`tasks`** | array | *array of tasks* |
| `id` | string | *task identifier*   **unique task identifier in our system in the [UUID](https://en.wikipedia.org/wiki/Universally_unique_identifier) format** |
| `status_code` | integer | *status code of the task*   generated by DataForSEO; can be within the following range: 10000-60000   you can find the full list of the response codes [here](https://docs.dataforseo.com/v3/appendix/errors.md) |
| `status_message` | string | *informational message of the task*   you can find the full list of general informational messages [here](https://docs.dataforseo.com/v3/appendix/errors.md) |
| `time` | string | *execution time, seconds* |
| `cost` | float | *cost of the task, USD* |
| `result_count` | integer | *number of elements in the `result` array* |
| `path` | array | *URL path* |
| `data` | object | *contains the parameters passed in the URL of the GET request* |
| **`result`** | array | *array of results* |
| `model_name` | string | *name of the AI model* |
| `reasoning` | boolean | *indicates if the AI model supports reasoning* |
| `web_search_supported` | boolean | *web search support for the AI model*   if `true`, the `web_search` parameter can be set with the AI model |
| `task_post_supported` | boolean | *indicates if Standard (POST-GET) data retrieval is supported*   if `true`, you can use the [Standard (POST-GET)](https://dataforseo.com/help-center/live-vs-standard-method) data retrieval method with the AI model |









 

 









> Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-access

```
# Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access 
login="login" 
password="password" 
cred="$(printf ${login}:${password} | base64)" 
curl --location --request GET "https://api.dataforseo.com/v3/ai_optimization/perplexity/llm_responses/models" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw ""
```





```php
<?php
// You can download this file from here https://cdn.dataforseo.com/v3/examples/php/php_RestClient.zip
require('RestClient.php');
$api_url = 'https://api.dataforseo.com/';
try {
	// Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access
	$client = new RestClient($api_url, null, 'login', 'password');
} catch (RestClientException $e) {
	echo "n";
	print "HTTP code: {$e->getHttpCode()}n";
	print "Error code: {$e->getCode()}n";
	print "Message: {$e->getMessage()}n";
	print  $e->getTraceAsString();
	echo "n";
	exit();
}
try {
	// using this method you can get a list of ai models
	// GET /v3/ai_optimization/perplexity/llm_responses/models
	// the full list of possible parameters is available in documentation
	$result = $client->get('/v3/serp/google/ai_mode/languages');
	print_r($result);
	// do something with result
} catch (RestClientException $e) {
	echo "n";
	print "HTTP code: {$e->getHttpCode()}n";
	print "Error code: {$e->getCode()}n";
	print "Message: {$e->getMessage()}n";
	print  $e->getTraceAsString();
	echo "n";
}
$client = null;
?>
```





```js
const axios = require('axios');

axios({
    method: 'get',
    url: 'https://api.dataforseo.com/v3/ai_optimization/perplexity/llm_responses/models',
    auth: {
        username: 'login',
        password: 'password'
    },
    data: [{
        version: "v3"
    }],
    headers: {
        'content-type': 'application/json'
    }
}).then(function (response) {
    var result = response['data']['tasks'][0]['result'];
    // Result data
    console.log(result);
}).catch(function (error) {
    console.log(error);
});
```





```
"""
Method: GET
Endpoint: https://api.dataforseo.com/v3/ai_optimization/perplexity/llm_responses/models
@see https://docs.dataforseo.com/v3/ai_optimization/perplexity/llm_responses/models
"""

import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../../../')))
from lib.client import RestClient
from lib.config import username, password
client = RestClient(username, password)

try:
    response = client.get('/v3/ai_optimization/perplexity/llm_responses/models')
    print(response)
    # do something with get result
except Exception as e:
    print(f'An error occurred: {e}')
```





```csharp
using System;
using System.Linq;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Collections.Generic;
using System.Threading.Tasks;
using Newtonsoft.Json;
namespace DataForSeoSdk;

public class AiOptimization
{

    private static readonly HttpClient _httpClient;
    
    static AiOptimization()
    {
        _httpClient = new HttpClient
        {
            BaseAddress = new Uri("https://api.dataforseo.com/")
        };
        _httpClient.DefaultRequestHeaders.Authorization =
            new AuthenticationHeaderValue("Basic", ApiConfig.Base64Auth);
    }

    /// <summary>
    /// Method: GET
    /// Endpoint: https://api.dataforseo.com/v3/ai_optimization/perplexity/llm_responses/models
    /// </summary>
    /// <see href="https://docs.dataforseo.com/v3/ai_optimization/perplexity/llm_responses/models"/>
    
    public static async Task PerplexityLlmResponsesModels()
    {
        using var response = await _httpClient.GetAsync("/v3/ai_optimization/perplexity/llm_responses/models");
        var result = JsonConvert.DeserializeObject<dynamic>(await response.Content.ReadAsStringAsync());
        // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
        if (result.status_code == 20000)
        {
            // do something with result
            Console.WriteLine(result);
        }
        else
            Console.WriteLine($"error. Code: {result.status_code} Message: {result.status_message}");
    }
```





> The above command returns JSON structured like this:

```
{
  "version": "0.1.20260116",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "0.0483 sec.",
  "cost": 0,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "01211658-1535-0616-0000-f1bf0834d610",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "0.0000 sec.",
      "cost": 0,
      "result_count": 3,
      "path": [
        "v3",
        "ai_optimization",
        "perplexity",
        "llm_responses",
        "models"
      ],
      "data": {
        "api": "ai_optimization",
        "function": "llm_responses",
        "se": "perplexity"
      },
      "result": [
        {
          "model_name": "sonar-reasoning-pro",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "sonar-pro",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "sonar",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        }
      ]
    }
  ]
}
```









 

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