Google Gemini

Gemini is Google's multimodal AI model with the largest context window available — 1M+ tokens for processing entire codebases in a single request.

Why Vibe Coders Use It

• Massive context window — 1M+ tokens means you can paste entire projects for analysis
• Multimodal — understand code, images, audio, and video in one request
• Integrated with Google ecosystem — works with Drive, Gmail, YouTube, Search
• Fast and efficient — competitive speed with strong reasoning capabilities
• Grounding with Google Search — get real-time web information in responses

Key Specs

Getting Started

1. Get a Free API Key

Visit Google AI Studio to create a free API key (no credit card required).

2. Set Your Environment Variable

GOOGLE_GENERATIVE_AI_API_KEY=your-api-key-here

3. Install the AI SDK Provider

npm install @ai-sdk/google

4. Analyze an Entire Codebase

import { google } from '@ai-sdk/google';
import { generateText } from 'ai';

// Example: paste an entire Next.js project file structure
const codebaseContext = `
// app/page.tsx
export default function Home() {
  return <div>Hello World</div>
}

// app/api/route.ts
export async function GET(request: Request) {
  return Response.json({ data: [] })
}

// package.json
{
  "name": "my-app",
  "dependencies": { "next": "^15" }
}
`;

const { text } = await generateText({
  model: google('gemini-2.5-pro'),
  prompt: `Review this codebase structure and suggest architectural improvements:\n${codebaseContext}`,
});

console.log(text);

5. Streaming Chat Example

import { google } from '@ai-sdk/google';
import { streamText } from 'ai';

export async function POST(req: Request) {
  const { messages } = await req.json();

  const result = streamText({
    model: google('gemini-2.5-flash'),
    messages,
  });

  return result.toDataStreamResponse();
}

6. Image Analysis Example

import { google } from '@ai-sdk/google';
import { generateText } from 'ai';

const { text } = await generateText({
  model: google('gemini-2.5-pro-vision'),
  messages: [
    {
      role: 'user',
      content: [
        {
          type: 'image',
          image: new URL('https://example.com/screenshot.png'),
        },
        {
          type: 'text',
          text: 'What UI improvements would you suggest for this design?',
        },
      ],
    },
  ],
});

console.log(text);

When to Use This vs. Alternatives

Use Gemini when you need to analyze large amounts of code or documents in a single request (thanks to the 1M token context). Use Claude if you need the best reasoning. Use GPT for general-purpose speed and reliability.

Available Models

• Gemini 2.5 Pro — Most capable, ideal for complex analysis
• Gemini 2.5 Flash — Fast and efficient, best for most tasks
• Gemini 2.5 Flash Lite — Optimized for speed and cost

Resources

• Google AI Studio (free tier, no credit card)
• Gemini API Documentation
• AI SDK Google Provider
• Gemini Pricing
• See the full Gemini profile on LLMReference →