List Models
curl --request GET \
--url https://scrapebadger.com/v1/chatgpt/models \
--header 'X-API-Key: <x-api-key>'import requests
url = "https://scrapebadger.com/v1/chatgpt/models"
headers = {"X-API-Key": "<x-api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {'X-API-Key': '<x-api-key>'}};
fetch('https://scrapebadger.com/v1/chatgpt/models', 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://scrapebadger.com/v1/chatgpt/models",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"X-API-Key: <x-api-key>"
],
]);
$response = curl_exec($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://scrapebadger.com/v1/chatgpt/models"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("X-API-Key", "<x-api-key>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://scrapebadger.com/v1/chatgpt/models")
.header("X-API-Key", "<x-api-key>")
.asString();require 'uri'
require 'net/http'
url = URI("https://scrapebadger.com/v1/chatgpt/models")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["X-API-Key"] = '<x-api-key>'
response = http.request(request)
puts response.read_body{
"models": [
{
"slug": "<string>",
"title": "<string>",
"description": "<string>",
"max_tokens": 123,
"tags": [
"<string>"
]
}
],
"count": 123
}Reference
List Models
Read the catalogue of models chatgpt.com currently exposes, with slugs, descriptions, token limits and tags.
GET
/
v1
/
chatgpt
/
models
List Models
curl --request GET \
--url https://scrapebadger.com/v1/chatgpt/models \
--header 'X-API-Key: <x-api-key>'import requests
url = "https://scrapebadger.com/v1/chatgpt/models"
headers = {"X-API-Key": "<x-api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {'X-API-Key': '<x-api-key>'}};
fetch('https://scrapebadger.com/v1/chatgpt/models', 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://scrapebadger.com/v1/chatgpt/models",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"X-API-Key: <x-api-key>"
],
]);
$response = curl_exec($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://scrapebadger.com/v1/chatgpt/models"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("X-API-Key", "<x-api-key>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://scrapebadger.com/v1/chatgpt/models")
.header("X-API-Key", "<x-api-key>")
.asString();require 'uri'
require 'net/http'
url = URI("https://scrapebadger.com/v1/chatgpt/models")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["X-API-Key"] = '<x-api-key>'
response = http.request(request)
puts response.read_body{
"models": [
{
"slug": "<string>",
"title": "<string>",
"description": "<string>",
"max_tokens": 123,
"tags": [
"<string>"
]
}
],
"count": 123
}Return the model catalogue
chatgpt.com currently advertises. Useful for
interpreting the model field on an
/ask response and for tracking when
OpenAI rotates its lineup.
Credits: 1
This is a read-only catalogue. You cannot select a model for
/ask or
/brand-visibility — the model field in those responses reports which model
answered, it is not a request parameter.Authorization
string
required
Your ScrapeBadger API key.
Query Parameters
string
default:"US"
ISO-3166 alpha-2 egress country. The advertised lineup can differ by market.
Response
Model[]
The models chatgpt.com currently lists.
Show Model
Show Model
string
Model identifier, e.g.
gpt-5-5. Matches the model field on an answer.string
Human-readable name as shown in the ChatGPT model picker.
string
Short description of what the model is for.
integer
Context limit advertised for the model.
string[]
Labels ChatGPT attaches to the model, e.g.
default, reasoning.integer
Number of entries in
models.Example
curl "https://scrapebadger.com/v1/chatgpt/models?country=US" \
-H "X-API-Key: YOUR_API_KEY"
const res = await fetch(
"https://scrapebadger.com/v1/chatgpt/models?" +
new URLSearchParams({ country: "US" }),
{ headers: { "X-API-Key": process.env.SCRAPEBADGER_API_KEY } },
);
const data = await res.json();
console.log(data.models.map((m) => m.slug));
import requests
res = requests.get(
"https://scrapebadger.com/v1/chatgpt/models",
headers={"X-API-Key": "YOUR_API_KEY"},
params={"country": "US"},
)
data = res.json()
print([m["slug"] for m in data["models"]])
Response
{
"models": [
{
"slug": "auto",
"title": "Auto",
"description": "Picks the best model for the question.",
"max_tokens": 32000,
"tags": ["default"]
},
{
"slug": "gpt-5-5",
"title": "GPT-5.5",
"description": "Great for most questions.",
"max_tokens": 32000,
"tags": []
},
{
"slug": "gpt-5-5-mini",
"title": "GPT-5.5 mini",
"description": "Faster responses for everyday tasks.",
"max_tokens": 32000,
"tags": []
},
{
"slug": "gpt-5-3",
"title": "GPT-5.3",
"description": "Previous generation model.",
"max_tokens": 32000,
"tags": ["legacy"]
},
{
"slug": "gpt-5-3-mini",
"title": "GPT-5.3 mini",
"description": "Previous generation, faster variant.",
"max_tokens": 32000,
"tags": ["legacy"]
}
],
"count": 5
}
The lineup changes whenever OpenAI ships or retires a model. Slugs seen live
at the time of writing:
auto, gpt-5-5, gpt-5-5-mini, gpt-5-3,
gpt-5-3-mini. Read the catalogue rather than hard-coding slugs.⌘I

