Gemini API Google AI for Developers
Gemini API | Google AI for Developers
ai.google.dev uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more.
[OK, got it]
This repository contains the source code for the community-driven documentation for the Google Gemini API, hosted at https://rikhoffbauer.github.io/google-gemini-documentation/.
Google AI for Developers
- Models
- Solutions
- Build with Gemini
- Customize Gemma open models
- Code assistance
- Showcase
- Community
Get a Gemini API Key
Get a Gemini API key and make your first API request in minutes.
Python
from google import genai
client = genai.Client()
response = client.models.generate_content(
model="gemini-2.5-flash",
contents="Explain how AI works in a few words"
)
print(response.text)
JavaScript
import { GoogleGenAI } from "@google/genai";
const ai = new GoogleGenAI({});
async function main() {
const response = await ai.models.generateContent({
model: "gemini-2.5-flash",
contents: "Explain how AI works in a few words",
});
console.log(response.text);
}
await main();
Go
package main
import (
"context"
"fmt"
"log"
"google.golang.org/genai"
)
func main() {
ctx := context.Background()
client, err := genai.NewClient(ctx, nil)
if err != nil {
log.Fatal(err)
}
result, err := client.Models.GenerateContent(
ctx, "gemini-2.5-flash", genai.Text("Explain how AI works in a few words"), nil,
)
if err != nil {
log.Fatal(err)
}
fmt.Println(result.Text())
}
Java
package com.example;
import com.google.genai.Client;
import com.google.genai.types.GenerateContentResponse;
public class GenerateTextFromTextInput {
public static void main(String[] args) {
Client client = new Client();
GenerateContentResponse response = client.models.generateContent(
"gemini-2.5-flash", "Explain how AI works in a few words", null);
System.out.println(response.text());
}
}
REST
curl "https://generativelaanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-H 'Content-Type: application/json' \
-X POST \
-d '{ "contents": [ { "parts": [ { "text": "Explain how AI works in a few words" } ] } ] }'
Meet the models
- 2.5 Pro Our most powerful thinking model with features for complex reasoning and much more
- 2.5 Flash Our newest multimodal model, with next generation features and improved capabilities
- 2.5 Flash-Lite Our fastest and most cost-efficient multimodal model with great performance for high-frequency tasks
- Veo 3 Our state of the art video generation model
- Imagen 4 Our highest quality image generation model that creates stunning visuals
- Gemini Embeddings Our first Gemini embedding model, designed for production RAG workflows
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
Sources: [1] Gemini API | Google AI for Developers (overview.md)