3 steps to complete Google AI Studio migration to APIYI: Keep code and change only 2 configurations

Author's Note: A detailed guide on how to migrate your Google AI Studio application to the APIYI platform. By simply modifying the request URL and API Key, you can enjoy the price advantage of Gemini models for as low as 20% of the original cost.

Want to migrate an app built with Google AI Studio to another platform? Many developers worry about the amount of code they'll need to rewrite. In reality, you only need to modify two configuration points: the request address and the API Key. Your application can then seamlessly switch to the APIYI platform and benefit from much better pricing.

Core Value: By the end of this article, you'll have mastered the complete Google AI Studio migration process and understand the pricing advantages of Gemini models on the APIYI platform.

Key Points for Migrating Google AI Studio to APIYI

Technical Essentials for Google AI Studio Migration

The base API address for Google AI Studio is generativelanguage.googleapis.com, and the full request path format looks like this:

https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent

When migrating to APIYI, you simply need to replace the base address with api.apiyi.com. The path format remains identical:

https://api.apiyi.com/v1beta/models/{model}:generateContent

APIYI is fully compatible with Google's Gemini API protocol, including all mainstream endpoints like generateContent, streamGenerateContent, and embedContent. Your existing code logic won't require any modifications.

Quick Start: Migrating from Google AI Studio to APIYI

Minimalist Example

Here's a simple comparison of the migration. You only need to change 2 lines of Python code:

import google.generativeai as genai

# Original Google AI Studio config
# genai.configure(api_key="YOUR_GOOGLE_API_KEY")

# Migrated APIYI config (only these 2 changes)
genai.configure(
    api_key="YOUR_APIYI_KEY",
    transport="rest",
    client_options={"api_endpoint": "api.apiyi.com"}
)

model = genai.GenerativeModel("gemini-2.0-flash")
response = model.generate_content("Hello!")
print(response.text)

import requests

# APIYI Gemini API endpoint
url = "https://api.apiyi.com/v1beta/models/gemini-2.0-flash:generateContent"

headers = {
    "Content-Type": "application/json",
    "x-goog-api-key": "YOUR_APIYI_KEY"
}

payload = {
    "contents": [{
        "parts": [{"text": "Introduce AI in one sentence"}]
    }]
}

response = requests.post(url, headers=headers, json=payload)
result = response.json()

# Extract the generated text
text = result["candidates"][0]["content"]["parts"][0]["text"]
print(text)

const { GoogleGenerativeAI } = require("@google/generative-ai");

// Specify the APIYI endpoint when creating the client
const genAI = new GoogleGenerativeAI("YOUR_APIYI_KEY", {
  baseUrl: "https://api.apiyi.com/v1beta"
});

const model = genAI.getGenerativeModel({ model: "gemini-2.0-flash" });

async function run() {
  const result = await model.generateContent("Hello!");
  console.log(result.response.text());
}

run();

Pro Tip: Register at apiyi.com to get your API Key. The platform offers free trial credits so you can quickly test the migration.

Google AI Studio Migration Comparison

APIYI Gemini Model Pricing Details

Note: The price comparison above is based on data from January 2026. You can check apiyi.com for the latest pricing.

Google AI Studio Code Export and Migration Steps

Google AI Studio offers a handy code export feature, allowing you to:

1. Export as a ZIP file: Click the download icon in the AI Studio interface to get the full project code.
2. Push to GitHub: Sync your code to a GitHub repository with one click.
3. Deploy to Cloud Run: Quickly deploy your project as an online service.

Migration Checklist

Just follow these steps to complete your migration:

• Export your project code from Google AI Studio (ZIP or GitHub).
• Register at APIYI (apiyi.com) and get your API Key.
• Update the api_endpoint in your code to api.apiyi.com.
• Replace the api_key with your APIYI Key.
• Run tests to verify everything's working correctly.
• Choose between pay-per-request or pay-per-token billing based on your usage.

FAQ

Summary

Key takeaways for migrating from Google AI Studio to APIYI:

1. Minimal changes: You only need to update two configurations—the request URL and the API Key.
2. Fully compatible: APIYI supports all Gemini API endpoints and parameter formats.
3. Price advantage: Nano Banana Pro is just $0.05 per call, which is as low as 20% of the official price.

If you're currently building apps with Google AI Studio and looking to cut API costs or improve access stability, switching to APIYI is definitely worth considering.

We recommend heading over to APIYI (apiyi.com) to test it out—the platform offers free credits and a unified interface for multiple models.

📚 References

⚠️ Link Format Note: All external links use the Resource Name: domain.com format. This makes them easy to copy while avoiding clickable links to prevent SEO weight loss.

1. Google AI Studio Official Documentation: Gemini API Usage Guide

   • Link: ai.google.dev/gemini-api/docs
   • Description: Learn about the full features and parameter specifications of the Gemini API.

2. Gemini API Pricing Page: Official Price Reference

   • Link: ai.google.dev/gemini-api/docs/pricing
   • Description: Compare official pricing with APIYI's discounts.

3. Google AI Studio Build Mode: Code Export Feature Guide

   • Link: ai.google.dev/gemini-api/docs/aistudio-build-mode
   • Description: Learn how to export project code from AI Studio.

Author: Tech Team
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