Google AI Studio

Last updated Apr 20, 2026 helps you build quickly with Google Gemini models.

Endpoint

Base URL:

https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/google-ai-studio

Then you can append the endpoint you want to hit, for example: v1/models/{model}:{generative_ai_rest_resource}

So your final URL will come together as: https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/google-ai-studio/v1/models/{model}:{generative_ai_rest_resource}.

Examples

cURL

<details>

<summary>

With API Key in Request

</summary>

curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_name}/google-ai-studio/v1/models/gemini-2.5-flash:generateContent" \
 --header 'content-type: application/json' \
 --header 'cf-aig-authorization: Bearer {CF_AIG_TOKEN}' \
 --header 'x-goog-api-key: {google_studio_api_key}' \
 --data '{
      "contents": [
          {
            "role":"user",
            "parts": [
              {"text":"What is Cloudflare?"}
            ]
          }
        ]
      }'

curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_name}/google-ai-studio/v1/models/gemini-2.5-flash:generateContent" \
 --header 'content-type: application/json' \
 --header 'x-goog-api-key: {google_studio_api_key}' \
 --data '{
      "contents": [
          {
            "role":"user",
            "parts": [
              {"text":"What is Cloudflare?"}
            ]
          }
        ]
      }'

</details>

<details>

<summary>

With Stored Keys (BYOK) / Unified Billing

</summary>

curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_name}/google-ai-studio/v1/models/gemini-2.5-flash:generateContent" \
 --header 'content-type: application/json' \
 --header 'cf-aig-authorization: Bearer {CF_AIG_TOKEN}' \
 --data '{
      "contents": [
          {
            "role":"user",
            "parts": [
              {"text":"What is Cloudflare?"}
            ]
          }
        ]
      }'

</details>

@google/genai

If you are using the @google/genai package, you can set your endpoint like this:

<details>

<summary>

With Key in Request

</summary>

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  apiKey: "{google_studio_api_key}",
  httpOptions: {
      baseUrl: `https://gateway.ai.cloudflare.com/v1/${account_id}/${gateway_name}/google-ai-studio`,
      headers: {
          'cf-aig-authorization': 'Bearer {cf_aig_token}',
      } 
  }
});

const response = await ai.models.generateContent({
  model: "gemini-2.5-flash",
  contents: "What is Cloudflare?",
});

console.log(response.text);

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  apiKey: "{google_studio_api_key}",
  httpOptions: {
      baseUrl: `https://gateway.ai.cloudflare.com/v1/${account_id}/${gateway_name}/google-ai-studio`,
  }
});

const response = await ai.models.generateContent({
  model: "gemini-2.5-flash",
  contents: "What is Cloudflare?",
});

console.log(response.text);

</details>

<details>

<summary>

With Stored Keys (BYOK) / Unified Billing

</summary>

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  apiKey: "{cf_aig_token}",
  httpOptions: {
      baseUrl: `https://gateway.ai.cloudflare.com/v1/${account_id}/${gateway_name}/google-ai-studio`,
  }
});

const response = await ai.models.generateContent({
  model: "gemini-2.5-flash",
  contents: "What is Cloudflare?",
});

console.log(response.text);

</details>

OpenAI-Compatible Endpoint

You can also access Google AI Studio models using the OpenAI API schema through the REST API. Send your requests to:

https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/chat/completions

Specify:

{
"model": "google-ai-studio/{model}"
}

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