Groq

Groq is the speed champion for AI inference — custom-built Language Processing Units (LPUs) deliver ultra-fast responses, critical for real-time coding assistants and interactive agentic loops.

Why Vibe Coders Use It

• Fastest inference available — 10-50x faster than GPU-based alternatives
• Real-time responsiveness — critical for interactive coding assistants and user-facing AI
• Runs popular open models — Llama, Mixtral, Gemma, Claude, and others
• Predictable latency — consistent response times regardless of prompt length
• Cost-effective — pay for throughput, not compute time

Key Specs

Getting Started

1. Sign Up for Groq Cloud

Visit groq.com and create an account.

2. Generate an API Key

Create an API key from the Groq Cloud Console.

3. Install the SDK

npm install groq-sdk
# or for Vercel's AI SDK:
npm install @ai-sdk/groq

4. Run a Fast Inference Example

import { Groq } from 'groq-sdk';

const groq = new Groq({
  apiKey: process.env.GROQ_API_KEY,
});

const message = await groq.chat.completions.create({
  messages: [
    {
      role: 'user',
      content: 'Explain React hooks in 50 words or less',
    },
  ],
  model: 'mixtral-8x7b-32768', // Fast, capable model
});

console.log(message.choices[0].message.content);

5. Streaming Example (For User-Facing Chat)

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

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

  const result = streamText({
    model: groq('mixtral-8x7b-32768'),
    messages,
    // Groq will stream tokens ultra-fast
  });

  return result.toDataStreamResponse();
}

6. Real-Time Agentic Loop Example

// Groq is ideal for agents that call tools frequently
// because the speed makes the loop feel responsive

async function agent(userTask: string) {
  let messages = [{ role: 'user' as const, content: userTask }];

  for (let i = 0; i < 5; i++) {
    // Get response from Groq (ultra-fast)
    const response = await groq.chat.completions.create({
      model: 'mixtral-8x7b-32768',
      messages: messages as any,
      tools: [...], // define tools
    });

    // If tool is needed, execute it and continue immediately
    // Thanks to Groq's speed, the loop feels real-time
    if (response.choices[0].message.tool_calls) {
      // execute tools, update messages, continue loop...
    } else {
      return response.choices[0].message.content;
    }
  }
}

When to Use Groq vs. Alternatives

Use Groq when latency matters — real-time chat, interactive features, and agentic loops. Use Claude or GPT when you need the strongest reasoning or broader model choice.

Supported Models

• Mixtral 8x7B — Strong general-purpose model, 32K context
• Llama 3 70B — Powerful, good reasoning
• Gemma 7B — Lightweight, fast

Resources

• Groq Official
• Groq API Documentation
• Groq Python SDK
• Groq JavaScript SDK
• AI SDK Groq Provider
• See the full Groq profile on LLMReference →