Pricing
llamay runs GGUF models on your machine and costs nothing to do it — no account, no card, no ceiling, and nothing leaving the machine. What the plans below buy is the part that cannot happen on one computer: a conversation that picks up where you left it on another, and models too large to run on yours.
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Billed monthly and cancellable in a click. Payments go through Polar, llamay’s merchant of record — llamay never sees or stores a card.
One thing, mostly. It is worth saying plainly rather than putting it in a table as a tick.
Every other engine stores your conversation as text. Reopen it and the model reads the whole thing again before it can answer — thirty seconds of a long thread, every time, on every machine.
llamay stores the computed state instead: 140–450 MB that resumes in under a second. Syncing that state is what Pro buys. The conversations themselves sync on the free plan.
Twenty-seven chat models run on llamay’s own hosting. Twenty of them run on any plan, paid for out of that plan’s token allowance.
Seven cost over a dollar a million tokens to run — GLM 5, Kimi K2, DeepSeek V4 Pro and the rest. Those are what Plus buys.
A conversation is a few KB. Its attention state is 140–450 MB, so a working set of them is measured in tens of gigabytes and a library of them in hundreds.
Storage is sold separately from the ladder, because an account on Pro that has filled 100 GB does not want Plus — it wants somewhere to put the next conversation.
Generated from the same table the service enforces, so this page cannot promise a limit the service does not honour.
On top of whichever plan you are on, and changing nothing else about it.
To run models on your own machine from the command line, no — install it and go. The desktop app asks you to sign in, because everything it adds over the CLI is an account: sync, the hosted models, your plan. Signing in is free.
You drop to the free plan. Nothing is deleted and nothing is held hostage: your conversations keep syncing, your local models keep running, and the attention state already in your storage stays there and stays downloadable. What stops is new state syncing up.
In a click, from Polar’s customer portal, and it takes effect at the end of the period you have paid for. There is no call to make and no retention flow to sit through.
No. Local models never leave your machine at all. Hosted requests go to Cloudflare Workers AI and are not retained for training — and the bytes in your storage are under a prefix only your account can reach.
Only hosted inference. Anything running on your own hardware is uncounted and unlimited, which is most of what llamay is for — the allowance is for the models running on ours.
Where a yearly price exists it is on the card above, with the saving worked out from the two live figures rather than written down. Monthly is always available and is the default: it needs no promise about what llamay will be in twelve months.
It is not a trial and it does not expire. Upgrade the day something in it stops being enough, and not before.