Groq Cost Tuning

Overview

Optimize Groq inference costs by selecting the right model for each use case and managing token volume. Groq's pricing is extremely competitive (Llama 3.1 8B at ~$0.05/M tokens, Llama 3.3 70B at ~$0.59/M tokens, Mixtral at ~$0.24/M tokens), but high throughput (500+ tokens/sec) makes it easy to burn through large volumes quickly.

Prerequisites

• Groq Cloud account with billing dashboard access
• Understanding of which use cases need which model quality
• Application-level request routing capability

Instructions

Step 1: Implement Smart Model Routing

// Route requests to cheapest model that meets quality requirements
const MODEL_ROUTING: Record<string, { model: string; costPer1MTokens: number }> = {
  'classification':  { model: 'llama-3.1-8b-instant',    costPer1MTokens: 0.05 },
  'summarization':   { model: 'llama-3.1-8b-instant',    costPer1MTokens: 0.05 },
  'code-review':     { model: 'llama-3.3-70b-versatile',  costPer1MTokens: 0.59 },
  'creative-writing':{ model: 'llama-3.3-70b-versatile',  costPer1MTokens: 0.59 },