Google AI Studio gateway details

Google's official Gemini API platform; ideal for testing Gemini's text, multimodal, long-context, and image capabilities.

Best for: For developers prioritizing evaluation of Gemini's native interface, multimodal input, and long context.

Current status

Test yourself

Latency reference

Depends on your deployment

/models check

See the platform docs

Last verified

Not verified yet

Status notes

Test plain responses, streaming, error codes, and rate limits yourself before launch.

Pricing mode

Billed per Gemini model and input/output usage; free tier and quota per Google's official console.

Price tags

Standard price, Signup credit, Pay-as-you-go

Free quota

Google AI Studio may offer a free tier; refer to the official dashboard.

Usually you create an API key in the platform console, then replace the SDK's baseURL, model name, and auth details per the docs. Test streaming, function calling, error codes, and rate limits before launch.

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AI_GATEWAY_API_KEY,
  baseURL: "see the platform docs"
});

const response = await client.chat.completions.create({
  model: "Gemini",
  messages: [{ role: "user", content: "Test one call through an AI gateway." }]
});

• Supported models: Gemini.
• Capabilities: Streaming, Function calling, Image generation.
• Documentation completeness: High; editorial stability score 4.7 / 5.

• Google's native interface differs from the OpenAI-compatible format; test China access and payment terms yourself.
• Third-party relay pricing, models, and availability can change, so re-check them periodically.

Is Google AI Studio compatible with the OpenAI API?

This entry is not marked as fully OpenAI-API compatible; use the native interface per the platform docs.

Is Google AI Studio ready for production?

Run a small-traffic load test, rate-limit test, and error-code test first, and confirm the billing rules; keep a backup provider for important workloads.