Optimization guide
Compression ratio vs answer quality
Higher compression saves more money but may reduce answer quality. The key is finding the compression budget where savings are maximized without noticeable quality loss.
Empirical findings
SuperCompress benchmarks show:
- Up to 65% compression: No measurable quality loss (100% oracle recall)
- 65-80% compression: Minor quality impact (95-99% oracle recall)
- 80-90% compression: Moderate quality impact (85-95% oracle recall)
- 90%+ compression: Significant quality risk (below 85% oracle recall)
Frequently asked questions
Does the optimal ratio vary by use case?
Yes. Factual extraction tasks (contract review, data extraction) need lower ratios. Creative tasks (content generation, brainstorming) can tolerate higher ratios.
How do I test for my use case?
Run 50 examples at each compression level and compare outputs manually or with an evaluation LLM.
Try it yourself
Paste your long prompt into the playground, ask a question, and see what SuperCompress keeps and removes. Free, no signup needed.