OpenAI cost reduction guide

Reduce OpenAI costs before the API call

The fastest way to reduce OpenAI spend is to stop sending tokens the model does not need. SuperCompress compiles long context around the current question before the API call.

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

Where your OpenAI costs come from

With GPT-4o at $2.50/1M input tokens, a typical agent making 1,000 calls/day with 4,000-token prompts spends ~$10/day on input tokens. Compressing by 65% drops that to ~$3.50/day.

Cost comparison

ScaleWithout CompressionWith SuperCompressAnnual Savings
1 agent~$3,650~$1,278~$2,372
100 agents~$365,000~$127,750~$237,250

Frequently asked questions

Will compression work with OpenAI streaming?

Yes. Compress first, then stream the model response.

Do I need to change my OpenAI model?

No. Compression is provider-agnostic.

Try it yourself

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

Open the Playground See benchmarks