SuperCompress
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Gemini cost reduction guide

Reduce Gemini API costs before inference

Gemini pricing still scales with input tokens. SuperCompress removes low-value context before the Gemini API call while keeping the evidence needed for the current query.

By Arjun Shah - Creator of SuperCompress - Updated 2026-09-05

Where your Gemini costs come from

A typical agent making 1,000 calls/day with 4,000-token prompts burns real Google Gemini budget on filler context. Compressing by ~64% drops input spend by the same ratio while keeping answer-critical evidence.

Cost comparison

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

Related cost pages

Frequently asked questions

Does SuperCompress work with Gemini long context?

Yes. Long context is expensive and noisy — compress query-relevant blocks first so Gemini sees less filler.

Do I need to change my Gemini model?

No. Compression is provider-agnostic preprocess before any Gemini model call.