Cloud AI is priced by the token, so the bill grows with every query, document, and retry. NodePlus runs on local models for $0 per token on a flat subscription.
The comparison below is not just price. It is data location, predictability, lock-in, and quality, the things that decide the true cost of running AI on real work.
Sticker price is only part of it. The full cost of AI on real work includes where your data goes, how predictable the bill is, and whether you are locked to one provider.
A metered model punishes adoption. A flat local model rewards it. That difference compounds the more your team relies on AI.
Once it is running, one more query, one more document, or one more report costs nothing extra. Usage is free at the margin.
Fixed monthly cost instead of a metered one that spikes with a busy close or a large analysis job.
Data is read in place, so there is no third-party model to send it to and no residency exposure priced into the trade.
66.6% on SWE-bench Pro and 93.8% on LongMemEval, on local models. You do not give up quality to escape the meter.
The hardware cost is part of the deployment and does not grow with use, unlike per-token inference.
Teams stop rationing AI to control spend, so the highest-value uses actually get run.
Because it charges you more precisely when the tool is most useful. Every document read, every query, and every retry adds cost, so heavy real-world use becomes an unpredictable bill. Teams end up rationing the tool to control spend.
A flat recurring subscription. The engine runs on local models with no per-token bills and no metered cloud inference, so a heavy month costs the same as a light one, and analyzing a full history costs the same as a single lookup.
No. The same local engine scores 66.6% on SWE-bench Pro and 93.8% on LongMemEval. Every system that scores higher on the public coding leaderboard is a closed, paid, cloud model. You are not trading quality for cost here.
It is included in the deployment, not a surprise line item, and it is a fixed cost rather than a metered one that grows with usage. Past a modest volume, local is the cheaper model precisely because it does not scale with use.
Yes. Cloud AI sends your data to a third-party model on every request. NodePlus reads it in place on hardware you control, so there is no data-egress or residency exposure priced into the trade.
Book a briefing and we will scope a deployment on local models, priced as a flat subscription with no per-token bills.