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GET
/
openai
/
v1
/
models
/
{model}
Retrieve model
curl --request GET \
  --url https://api.novita.ai/openai/v1/models/{model} \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>'
import requests

url = "https://api.novita.ai/openai/v1/models/{model}"

headers = {
    "Content-Type": "<content-type>",
    "Authorization": "<authorization>"
}

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

print(response.text)
const options = {
  method: 'GET',
  headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'}
};

fetch('https://api.novita.ai/openai/v1/models/{model}', 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.novita.ai/openai/v1/models/{model}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <authorization>",
    "Content-Type: <content-type>"
  ],
]);

$response = curl_exec($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.novita.ai/openai/v1/models/{model}"

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

	req.Header.Add("Content-Type", "<content-type>")
	req.Header.Add("Authorization", "<authorization>")

	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.novita.ai/openai/v1/models/{model}")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "<authorization>")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.novita.ai/openai/v1/models/{model}")

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

request = Net::HTTP::Get.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'

response = http.request(request)
puts response.read_body
{
  "created": 1733560109,
  "id": "meta-llama/llama-3.3-70b-instruct",
  "object": "model",
  "input_token_price_per_m": 3900,
  "output_token_price_per_m": 3900,
  "title": "meta-llama/llama-3.3-70b-instruct",
  "description": "The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.\n\nSupported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.",
  "context_size": 131072,
}
Retrieves a model instance, providing basic information about the model. This endpoint is compatible with OpenAI API.

​
Request Headers

​
Content-Type
string
required
Enum: application/json
​
Authorization
string
required
Bearer authentication format, for example: Bearer {{API Key}}.

​
Path Parameters

​
model
string
required
The ID of the model to use for this request.

​
Response

{
  "created": 1733560109,
  "id": "meta-llama/llama-3.3-70b-instruct",
  "object": "model",
  "input_token_price_per_m": 3900,
  "output_token_price_per_m": 3900,
  "title": "meta-llama/llama-3.3-70b-instruct",
  "description": "The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.\n\nSupported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.",
  "context_size": 131072,
}
​
id
string
required
The model identifier, which can be referenced in the API endpoints.
​
created
integer
required
The Unix timestamp (in seconds) when the model was created.
​
object
string
required
The object type, which is always β€œmodel”.
​
input_token_price_per_m
integer
required
The price per million input tokens.
​
output_token_price_per_m
integer
required
The price per million output tokens.
​
title
string
required
The title of the model.
​
description
string
required
The description of the model.
​
context_size
integer
required
The maximum context size of the model.
Last modified on August 12, 2025