ai_optimization/gemini/llm_responses/models

List of Gemini models for LLM Responses

Your account will not be charged for using this API

GET

You will receive the list of available Gemini AI models by calling this API.

As a response of the API server, you will receive 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
`status_message`	string	general informational message you can find the full list of general informational messages here
`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 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
`status_message`	string	informational message of the task you can find the full list of general informational messages here
`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) 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/gemini/llm_responses/models" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw ""

<?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/gemini/llm_responses/models
	// the full list of possible parameters is available in documentation
	$result = $client->get('/v3/ai_optimization/gemini/llm_responses/models');
	print_r($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;
?>

const axios = require('axios');

axios({
    method: 'get',
    url: 'https://api.dataforseo.com/v3/ai_optimization/gemini/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/gemini/llm_responses/models
@see https://docs.dataforseo.com/v3/ai_optimization/gemini/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/gemini/llm_responses/models')
    print(response)
    # do something with get result
except Exception as e:
    print(f'An error occurred: {e}')

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/gemini/llm_responses/models
    /// </summary>
    /// <see href="https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_responses/models"/>
    
    public static async Task GeminiLlmResponsesModels()
    {
        using var response = await _httpClient.GetAsync("/v3/ai_optimization/gemini/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": "0.1.20250812",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "0.0668 sec.",
  "cost": 0,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "08201719-1535-0616-0000-df8dff6db9f6",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "0.0169 sec.",
      "cost": 0,
      "result_count": 23,
      "path": [
        "v3",
        "ai_optimization",
        "gemini",
        "llm_responses",
        "models"
      ],
      "data": {
        "api": "ai_optimization",
        "function": "llm_responses",
        "se": "gemini"
      },
      "result": [
        {
          "model_name": "gemini-2.5-pro",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.5-pro-preview-03-25",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.5-pro-preview-05-06",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.5-pro-preview-06-05",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.5-flash-lite",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.5-flash-lite-preview-06-17",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.5-flash",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.5-flash-preview-05-20",
          "reasoning": true,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.0-flash-lite",
          "reasoning": false,
          "web_search_supported": false,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.0-flash-lite-001",
          "reasoning": false,
          "web_search_supported": false,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.0-flash-lite-preview",
          "reasoning": false,
          "web_search_supported": false,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.0-flash-lite-preview-02-05",
          "reasoning": false,
          "web_search_supported": false,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.0-flash",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-2.0-flash-001",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-pro",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-pro-002",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-pro-latest",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-flash-8b",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-flash-8b-001",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-flash-8b-latest",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-flash",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-flash-002",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        },
        {
          "model_name": "gemini-1.5-flash-latest",
          "reasoning": false,
          "web_search_supported": true,
          "task_post_supported": false
        }
      ]
    }
  ]
}