An honest comparison — including where FLUX loses

Most cost-saving tools publish their best number. Independent measurement keeps finding a gap between claimed and delivered, so this page compares *methods*, and includes the rows where we lose.

The independent findings this market needs to answer

Method comparison

Typical trimmer / routerFLUX
Unit of measurementper requestper completed task
Quality checkself-graded or nonereplay gate on your recorded requests; failed tasks void savings
Cache economicsusually ignored (trimming can *raise* bills: one measured case cut tokens 38% and raised cost +6.8%)simulated to provider rules; cache-safe levers only
Customer's existing savingssilently absorbed into the claimitemised, excluded, never billed
Headline numberone global percentageper-segment bands, including "do not pay us"
The invoicetrust ushash-chained events; recompute it yourself

Where FLUX loses, stated plainly

Not competitors: LiteLLM, Helicone, Langfuse

These are gateways and tracers — excellent at routing, logging and spend tracking, and none of them performs token reduction or savings verification. FLUX reads their exports directly: if you run any of them, you are one file export away from a quote. Runbook →