Supported Gemini Models
Access Google's most powerful models at a fraction of the cost.
Gemini 3 Flash
Gemini 3.1 Pro
Gemini 2.5 Flash
Nano Banana
New Content
Why choose our Gateway
Cheaper than official
Bulk purchasing and smart distribution allow us to offer prices up to 70% lower than Google's retail pricing.
Global Payments
Pay from anywhere in the world. We accept major credit cards and cryptocurrencies (USDT, TON) for seamless top-ups.
Smart Load Balancing
Forget about 429 Too Many Requests errors. We distribute the load and maintain a stable stream of requests.
Zero code rewrite
Full compatibility with official Google SDKs. Just change the baseURL and API key, and your code continues to work securely.
Streaming Support
We don't buffer responses. Server-sent events (streaming) flows directly to your application for a snappy, seamless UX.
Zero data retention
Your data is yours alone. We act purely as a proxy and never store your prompts, attachments, or model responses.
How to Start
Integration takes 5 minutes. No need to rewrite your code — simply change the endpoint.
Signup
Quick registration and dashboard access
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Get your API key
Full OpenAI SDK compatibility
Node.js Integration
The official SDK works out of the box. Just configure our baseURL and API key. No need to learn new docs or rewrite existing LLM business logic.
- Zero code rewrite
- Full streaming support
- Strict Google SDK typing
import { GoogleGenAI } from "@google/genai";
// 1. Use our endpoint instead of the official one
// 2. Use your assigned api429.com API key
const ai = new GoogleGenAI({
apiKey: "gw_xxxxxxxxxxxx",
baseURL: "https://api.api429.com/v1"
});
const response = await ai.models.generateContent({
model: "gemini-2.5-flash",
contents: "Explain API load balancing",
});
console.log(response.text());from google import genai
# 1. Use our endpoint instead of the official one
# 2. Standard Google SDK syntax is fully supported
client = genai.Client(
api_key="gw_xxxxxxxxxxxx",
http_options={'base_url': 'https://api.api429.com/v1'}
)
response = client.models.generate_content(
model='gemini-2.5-flash',
contents='Write a Hello World script',
)
print(response.text)Python SDK
Building an AI agent, analytics pipeline or Python backend? We got you covered. Native support for the google-genai library means you can scale instantly without rate limits.
- LangChain and LlamaIndex compatible
- Asynchronous API calls
Request Access
Get test access, an API key, and individual conditions