curl --request GET \
  --url https://api.deepinfra.com/models/featured

import requests

url = "https://api.deepinfra.com/models/featured"

response = requests.get(url)

print(response.text)

const options = {method: 'GET'};

fetch('https://api.deepinfra.com/models/featured', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.deepinfra.com/models/featured",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.deepinfra.com/models/featured"

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

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.deepinfra.com/models/featured")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.deepinfra.com/models/featured")

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

request = Net::HTTP::Get.new(url)

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

[
  {
    "model_name": "microsoft/resnet-50",
    "type": "image-classification",
    "reported_type": "text-generation",
    "pricing": {
      "cents_per_sec": 123,
      "discount": 0.2,
      "discount_ends_at": 1786000000,
      "short": "$0.15 / second",
      "full": "$0.15 / second for 1080P, $0.10 / second for 720P",
      "table": {
        "columns": [
          "resolution",
          "$ cost per second"
        ],
        "rows": [
          [
            "780P",
            "$0.10"
          ],
          [
            "1080P",
            "$0.15"
          ]
        ]
      },
      "type": "time"
    },
    "description": "ResNet-50 is a convolutional neural network that is trained on more than a million images from the ImageNet database. It is a 50-layer deep neural network.",
    "cover_img_url": "",
    "tags": [
      "<string>"
    ],
    "max_tokens": 123,
    "replaced_by": "<string>",
    "deprecated": 123,
    "quantization": "<string>",
    "mmlu": 123,
    "expected": "<string>",
    "create_ts": "<string>",
    "private": 0,
    "is_partner": false
  }
]