curl --request GET \
  --url https://api.meshapi.ai/v1/models/{model_id} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.meshapi.ai/v1/models/{model_id}"

headers = {"Authorization": "Bearer <token>"}

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

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.meshapi.ai/v1/models/{model_id}', 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.meshapi.ai/v1/models/{model_id}",
  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: Bearer <token>"
  ],
]);

$response = curl_exec($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.meshapi.ai/v1/models/{model_id}"

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

	req.Header.Add("Authorization", "Bearer <token>")

	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.meshapi.ai/v1/models/{model_id}")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.meshapi.ai/v1/models/{model_id}")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "id": "openai/gpt-4o-mini",
  "name": "GPT-4o mini",
  "brand": "openai",
  "provider": "openai",
  "context_length": 128000,
  "is_free": false,
  "pricing": {
    "pricing_unit": "per_1m_tokens",
    "prompt_usd_per_1m": "0.1500000",
    "completion_usd_per_1m": "0.6000000",
    "input_usd_per_unit": "0.1500000",
    "output_usd_per_unit": "0.6000000",
    "request_usd": "0.0000000"
  },
  "description": "Fast, affordable multimodal model for everyday tasks.",
  "supports_thinking": false,
  "supports_completions_api": true,
  "supports_responses_api": true,
  "supports_realtime": false,
  "supports_embeddings": false,
  "supports_tools": true,
  "supports_structured_output": true,
  "supports_system_prompt": true,
  "supports_batching": true,
  "supports_background_response": false,
  "supports_video_generation": false,
  "supports_image_edit": false,
  "supports_image_inpaint": false,
  "supports_image_outpaint": false,
  "supports_image_mix": false,
  "supports_image_reframe": false,
  "supports_image_upscale": false,
  "supports_image_remove_background": false,
  "supports_image_reference": true,
  "model_type": "text",
  "input_modalities": [
    "text",
    "image"
  ],
  "output_modalities": [
    "text"
  ],
  "context_window": 128000,
  "standard_context_threshold": 64000
}

{
  "error": {
    "code": "unauthorized",
    "message": "Invalid or missing API key."
  },
  "request_id": "req_01ARZ3NDEKTSV4RRFFQ69G5FAV"
}

{
  "detail": "Model not found"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}