Gemini Developer API

Get a Gemini API key and make your first API request in minutes.

Python

from google import genai

client = genai.Client(api_key="YOUR_API_KEY")

response = client.models.generate_content(
    model="gemini-2.0-flash",
    contents="Explain how AI works",
)

print(response.text)

Node.js

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

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

const prompt = "Explain how AI works";

const result = await model.generateContent(prompt);
console.log(result.response.text());

REST

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=YOUR_API_KEY" \
-H 'Content-Type: application/json' \
-X POST \
-d '{
  "contents": [{
    "parts":[{"text": "Explain how AI works"}]
    }]
   }'

Meet the models

Use Gemini in Google AI Studio

2.0 Flash

Our newest multimodal model, with next generation features and improved capabilities

2.0 Flash-Lite

Our fastest and most cost-efficient multimodal model with great performance for high-frequency tasks

2.0 Pro

Our best performing multimodal model with features for a wide variety of reasoning tasks

Explore the API

Native Image Generation

Generate and edit highly contextual images natively with Gemini 2.0 Flash.

Explore long context

Input millions of tokens to Gemini models and derive understanding from unstructured images, videos, and documents.

Generate structured outputs

Constrain Gemini to respond with JSON, a structured data format suitable for automated processing.

Start building with the Gemini API

Get started