Google Gemini is Google DeepMind's family of multimodal AI models. The Gemini API offers an extremely generous free tier (1.5M tokens/day) to integrate AI into your projects.
Key Features
- Free API: 15 requests/min, 1.5M tokens/day, no credit card required
- Models: Gemini Pro (balanced), Flash (fast), Ultra (powerful)
- Multimodal: text + image + video + code
- Large context: up to 1 million tokens
- Official SDK: @google/generative-ai (Node.js)
Available Models
| Model | Context Window | Strengths | Best For |
|---|---|---|---|
| Gemini 1.5 Pro | 2M tokens (up to 2M) | Balanced performance, reasoning | Complex tasks, long documents |
| Gemini 1.5 Flash | 1M tokens | Speed, cost-effective | High-volume, real-time apps |
| Gemini Ultra | Variable | Most capable, advanced reasoning | Complex multimodal tasks |
| Gemini Nano | Limited | On-device, privacy | Mobile, offline use |
Model Selection Guide
- Use Flash for: chatbots, real-time features, high-volume processing
- Use Pro for: complex reasoning, document analysis, code generation
- Use Ultra for: research, advanced multimodal tasks, mission-critical applications
- Use Nano for: on-device inference, privacy-sensitive applications
Getting Started with Gemini API
1. Obtain Your API Key
- Visit Google AI Studio
- Sign in with your Google account
- Click "Get API key" and create a new key
- Store it securely (never commit to version control)
2. Install the SDK
npm install @google/generative-ai
3. Basic Text Generation
Simple Example
import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
const prompt = "Explain how AI works in simple terms";
const result = await model.generateContent(prompt);
const response = result.response;
console.log(response.text());4. Multimodal Input (Text + Image)
Image Analysis Example
import { GoogleGenerativeAI } from "@google/generative-ai";
import fs from "fs";
const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-pro" });
const imageData = fs.readFileSync("image.jpg");
const base64Image = imageData.toString("base64");
const result = await model.generateContent([
{ text: "Describe what's in this image in detail" },
{
inlineData: {
mimeType: "image/jpeg",
data: base64Image
}
}
]);
console.log(result.response.text());5. Streaming Responses
Real-time Streaming
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
const prompt = "Write a short story about a robot";
const result = await model.generateContentStream(prompt);
for await (const chunk of result.stream) {
const chunkText = chunk.text();
process.stdout.write(chunkText);
}Use Cases
1. Content Generation and Code
- Article writing: Generate blog posts, documentation, marketing copy
- Code generation: Create functions, debug code, explain algorithms
- Creative writing: Stories, poetry, dialogue
- Summarization: Condense long documents into key points
2. Image and Document Analysis
- OCR alternative: Extract text from images and PDFs
- Visual understanding: Describe scenes, identify objects
- Document parsing: Extract structured data from invoices, receipts
- Accessibility: Generate alt text for images
3. Chatbots and Conversational AI
- Customer support: Automated helpdesk with context retention
- Virtual assistants: Task automation and information retrieval
- Interactive tutorials: Adaptive learning experiences
- Multi-turn conversations: Context-aware dialogue
4. Multilingual Translation
- 100+ languages: Including Arabic, French, English
- Context-aware: Better than literal translation
- Tone preservation: Maintains formality and style
- Code comments: Translate documentation and comments
5. RAG (Retrieval-Augmented Generation)
Combine Gemini with your own data for accurate, context-specific responses:
RAG Pattern
- User asks a question
- Retrieve relevant documents from your database/vector store
- Include retrieved context in Gemini prompt
- Gemini generates answer based on your data
- Reduces hallucinations, ensures accuracy
Pricing and Limits
Free Tier
| Limit Type | Gemini Flash | Gemini Pro |
|---|---|---|
| Requests per minute | 15 | 15 |
| Tokens per day | 1,500,000 | 1,500,000 |
| Requests per day | 1,500 | 1,500 |
| Cost | FREE | FREE |
Paid Tier (Pay-as-you-go)
For production applications exceeding free tier limits:
- Gemini Flash: $0.075 per 1M input tokens, $0.30 per 1M output tokens
- Gemini Pro: $1.25 per 1M input tokens, $5.00 per 1M output tokens
- No minimum: Pay only for what you use
- Higher rate limits: 1000+ requests per minute available
Best Practices
Security
- Never expose API keys: Use environment variables, never commit keys
- Server-side only: Don't call API from client-side JavaScript
- Rate limiting: Implement your own rate limiting for user-facing features
- Content filtering: Use Gemini's safety settings to filter inappropriate content
Optimization
- Caching: Cache common responses to reduce API calls
- Model selection: Use Flash for simple tasks, Pro for complex ones
- Prompt optimization: Clear, specific prompts produce better results
- Streaming: Use streaming for better perceived performance
Comparison with Other APIs
| Feature | Gemini | OpenAI | Anthropic |
|---|---|---|---|
| Free tier | ✅ Very generous | ❌ Trial credits only | ❌ No free tier |
| Context window | Up to 2M tokens | 128K tokens | 200K tokens |
| Multimodal | ✅ Text, image, video | ✅ Text, image | ✅ Text, image |
| Pricing (input) | $0.075-1.25 per 1M | $2.50-15 per 1M | $3-15 per 1M |
Need Help Integrating Gemini AI?
Our VOID team can help you integrate Google Gemini API into your applications. We work on:
- Custom AI integrations with Gemini API
- RAG implementations for enterprise knowledge bases
- Chatbot development with conversational AI
- Multimodal applications (text, image, video analysis)
- Cost optimization and scaling strategies
Additional Resources
- Official Gemini API Documentation
- Google AI Studio: Test prompts and get API keys
- Artificial Intelligence Expertise: our AI services
- All our publications: tech guides and news
Article published on 2025-12-06. Complete guide to Google Gemini API integration with examples and best practices.