vs the fieldMarch 17, 2026· 3 min read

Crowkis vs doing nothing: the most expensive cache is no cache

The default strategy, every query goes to the model, has a precise cost. It's on your invoice, itemized as everything.

Doing nothing is a choice with a price tag. Every production LLM workload we've replayed shows the same shape: a long tail of novel questions and a fat head of repeats, the same intents, rephrased endlessly, each one purchased fresh at full price and full latency. The head is commonly a third to two-thirds of all traffic. That's the doing-nothing tax, compounding monthly.

In plain words: You're already paying for a cache, you're just paying the model provider to be one, at a markup of several thousand x per hit.

The tax has a latency component too, and it's arguably crueler: your users wait seconds for answers your system produced yesterday. Speed is a feature users feel on every interaction; paying premium prices to be slow at repetition is a strange position to defend in a roadmap review.

what repeated traffic costs without crowkis

1
'how do refunds work?'
2
model call · $$ · 2s
3
'what's the refund window?'
4
model call · $$ · 2s
5
'refund timeline?'
6
model call · $$ · 2s
7
the same answer, three times

Every paraphrase is a fresh bill, unless the cache understands meaning.

Crowkis exists to make the head of the distribution nearly free: semantic hits in under a millisecond, gated for safety, with the dashboard pricing the savings in real time. The tail still goes to the model, that's what models are for, but the repeats stop billing.

The bottom line

Community edition is free, deployment is five minutes, and the worst case is a pass-through that cost you an afternoon. The status quo charges more than that every day. Few infrastructure decisions are this asymmetric.