Cost optimization guide

LLM cost optimization without wrecking quality

The best LLM cost optimization stack combines prompt compression, caching, model routing, and measurement.

By Arjun Shah - Creator of SuperCompress - Updated 2026-07-03

The LLM cost optimization stack

  1. Prompt compression (highest impact) - Remove 60-85% of input tokens
  2. Caching - Avoid repeating identical API calls
  3. Model routing - Use cheaper models for simpler tasks

Frequently asked questions

Is compression better than switching models?

They solve different problems. Use both for maximum savings.

How quickly can I implement compression?

About 1 hour. Install, add 3 lines of code, and start compressing.

Try it yourself

Paste your long prompt into the playground, ask a question, and see what SuperCompress keeps and removes. Free, no signup needed.

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