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,
}
LLM API
Retrieve model
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
string
required
Enum:
application/jsonstring
required
Bearer authentication format, for example: Bearer {{API Key}}.
Path Parameters
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,
}
string
required
The model identifier, which can be referenced in the API endpoints.
integer
required
The Unix timestamp (in seconds) when the model was created.
string
required
The object type, which is always “model”.
integer
required
The price per million input tokens.
integer
required
The price per million output tokens.
string
required
The title of the model.
string
required
The description of the model.
integer
required
The maximum context size of the model.
Last modified on August 12, 2025
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