Gemini

Learn Gemini Documentation

Comprehensive guides, API references, and tutorials to master Google's most advanced AI model for all your creative and technical needs.

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Getting Started

1️⃣

Set Up Your Environment

Install the Gemini CLI and SDK with our 2-minute setup guide. Supports Windows, macOS, and Linux with NVIDIA/AMD/Intel GPUs.

Install Gems
2️⃣

Authenticate Your API Key

Get a free API key from the developer console and validate it with a single CLI command. No credit card required.

Security Setup
3️⃣

Run Your First Prompt

Use the command `gemini run` or test in the web interface to generate your first code, image, or content creation.

First Prompt

Tutorials

Code Generation Basics

Convert natural language prompts into production-grade code. Learn to describe requirements clearly for accurate results.

{`Prompt: "Create a React component that toggles dark mode."

Response: 
import { useState } from 'react';
function DarkModeToggle() {
  // ...`}  
            
Read Tutorial ➡️

Image Generation

Master text-to-image prompts for generating photorealistic images, illustrations, and concept art.

{`Prompt: "Cyberpunk cityscape at night with neon lights, 8K resolution"

Response: [Image with ID generated]`}  
            
Start with Images ➡️

Language Modeling

Use Gemini for content creation, translation, summarization, and multi-step reasoning tasks across 100 languages.

{`Prompt: "Summarize this article in 100 words" 

[Uploads 2000-word document]`}  
            
Language Tutorials ➡️

Advanced Features

Explore extended capabilities: batch processing, image input, code debugging, and multi-modal prompts.

{`curl -X POST https://api.gemini.com/v1/images 
--data-binary @photo.jpg 
--data '{"prompt":"What year was this photo taken?"}'`}  
            
Advanced Docs ➡️

API Reference

Core Endpoints

Endpoint Method Description
/v1/code POST Convert natural language to code
/v1/images POST Generate and edit images
/v1/complete POST Language modeling for text completion

Authentication Example

{`curl -X POST https://api.gemini.com/v1/code \\ -H "Authorization: Bearer YOUR_API_KEY" \\ -H "Content-Type: application/json" \\ -d '{"prompt":"Create a Node.js server"}'`}

Get your API key from the Developer Console.

Best Practices

Use Precise Prompts

Instead of "Make a website", specify: "Create a responsive React landing page with hero section, testimonials, and call-to-action buttons using TailwindCSS".

🧠

Iterative Refinement

Start with a basic prompt, review the output, then ask specific follow-up questions to improve the result.

🔍

Test Edge Cases

For code generation, always test with different input sizes, invalid data, and edge conditions to ensure robustness.

⚙️

Security & Compliance

Always validate model outputs for security vulnerabilities, especially when using code generation features.

Technical Documentation

Model Architecture

Gemini is a multimodal transformer-based model with 12B parameters trained on 100TB of diverse data. Supports:

  • Text generation and understanding
  • Image generation and analysis
  • Code completion and debugging
  • Multi-step reasoning chains
Full Technical Specs ➡️

Performance Metrics

97.3%
Code Accuracy
0.82s
Avg. Response Time
10.4
Languages Supported

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