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.
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. SuperCompress is query-aware extractive selection: it keeps original lines that answer this question and drops the rest. Measure original_tokens / kept_tokens (or tokens_saved) on your traffic. Published suites live on /benchmarks.
How to measure the cut
Every compress response returns original_tokens, kept_tokens, and tokens_saved. Use those fields on your own Gemini traffic instead of a marketing savings table. Hosted API + MCP, wired into Claude Code, Cursor, Codex and other agents via npm install -g supercompress-proxy && supercompress setup.
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.