Gemini API | Google AI for Developers
Gemini Deep Research is now available in preview with collaborative planning, visualization, MCP support, and more.
Gemini API
The fastest path from prompt to production with Gemini, Veo, Nano Banana, and more.
PythonJavaScriptGoJavaC#RESTMore
from google import genai
client = genai.Client()
response = client.models.generate_content(
model="gemini-3-flash-preview",
contents="Explain how AI works in a few words",
)
print(response.text)
import { GoogleGenAI } from "@google/genai";
const ai = new GoogleGenAI({});
async function main() {
const response = await ai.models.generateContent({
model: "gemini-3-flash-preview",
contents: "Explain how AI works in a few words",
});
console.log(response.text);
}
await main();
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-3-flash-preview",
genai.Text("Explain how AI works in a few words"),
nil,
)
if err != nil {
log.Fatal(err)
}
fmt.Println(result.Text())
}
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-3-flash-preview",
"Explain how AI works in a few words",
null);
System.out.println(response.text());
}
}
using System.Threading.Tasks;
using Google.GenAI;
using Google.GenAI.Types;
public class GenerateContentSimpleText {
public static async Task main() {
var client = new Client();
var response = await client.Models.GenerateContentAsync(
model: "gemini-3-flash-preview", contents: "Explain how AI works in a few words"
);
Console.WriteLine(response.Candidates[0].Content.Parts[0].Text);
}
}
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-flash-preview: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"\
}\
]\
}\
]
}'
Follow our Quickstart guide to get an API key and make your first API call in minutes.
Meet the models
auto_awesome\ Gemini 3.1 Pro\ New\ \ Our most intelligent model, the best in the world for multimodal understanding, all built on state-of-the-art reasoning. spark\ Gemini 3 Flash\ New\ \ Frontier-class performance rivaling larger models at a fraction of the cost. spark\ Gemini 3.1 Flash-Lite\ New\ \ High-volume, cost-sensitive workhorse model with the performance and quality of the Gemini 3 series. 🍌\ Nano Banana 2 and Nano Banana Pro\ \ \ State-of-the-art image generation and editing models. video_library\ Veo 3.1\ \ \ Our state-of-the-art video generation model, with native audio. spark\ Gemini Robotics\ \ \ A vision-language model (VLM) that brings Gemini's agentic capabilities to robotics and enables advanced reasoning in the physical world.
Explore Capabilities
imagesmode\ \ Native Image Generation (Nano Banana)\ \ \ Generate and edit highly contextual images natively with Gemini 2.5 Flash Image. article\ \ Long Context\ \ \ Input millions of tokens to Gemini models and derive understanding from unstructured images, videos, and documents. code\ \ Structured Outputs\ \ \ Constrain Gemini to respond with JSON, a structured data format suitable for automated processing. functions\ \ Function Calling\ \ \ Build agentic workflows by connecting Gemini to external APIs and tools. videocam\ \ Video Generation with Veo 3.1\ \ \ Create high-quality video content from text or image prompts with our state-of-the-art model. android_recorder\ \ Voice Agents with Live API\ \ \ Build real-time voice applications and agents with the Live API. build\ \ Tools\ \ \ Connect Gemini to the world through built-in tools like Google Search, URL Context, Google Maps, Code Execution and Computer Use. stacks\ \ Document Understanding\ \ \ Process up to 1000 pages of PDF files with full multimodal understanding or other text-based file types. cognition_2\ \ Thinking\ \ \ Explore how thinking capabilities improve reasoning for complex tasks and agents.
Google AI Studio\ \ \ Test prompts, manage your API keys, monitor usage, and build prototypes. group\ \ Developer Community\ \ \ Ask questions and find solutions from other developers and Google engineers. menu_book\ \ API Reference\ \ \ Find detailed information about the Gemini API in the official reference documentation. sensors\ \ Status\ \ \ Check the status of Gemini API, Google AI Studio, and our model services.