You know that feeling when you check your OpenAI billing dashboard at the end of the month and your stomach drops? Yeah. We've all been there. The thing is, most teams aren't actually using expensive models for every single request. They're just... doing it out of habit. Let me walk you through the real-world tactics that cut our API spend by 62% last quarter—without sacrificing quality. The Audit You're Probably Not Doing First, you need visibility. You can't optimize what you can't measure. Start by logging every API call with timestamps, model names, token counts, and latencies: curl -X POST https://api.openai.com/v1/chat/completions \ -H "Authorization: Bearer $OPENAI_API_KEY " \ -H "Content-Type: application/json" \ -d '{ "model": "gpt-4", "messages": [{"role": "user", "content": "Hello"}], "user": "user_12345" }' | jq -r '.usage | "\(.prompt_tokens),\(.completion_tokens),\(.total_tokens)"' Enter fullscreen mode Exit fullscreen mode Pipe this into a CSV and start analyzing.…