Replace your AI subscriptions with one box? Do the math first.
Most "AI hardware saves you money" claims skip the awkward part: the device still calls a cloud model, and those calls still cost money. So we built the calculator instead of the claim. Put in what you pay today, and it will tell you — including the costs vendors usually leave out — whether a one-time box actually beats your monthly subscriptions. If it does not, it will say so.
Do the math
—
Assumptions: $349 hardware, credits at $4 / $14 / $42 per month for light / medium / heavy use, electricity at ~$12 per year (under 10W, 24/7). Hardware list price is ¥2,499 CNY (shown as $349 in this calculator, converted at roughly 1 USD = 7.15 CNY for display only); the product page is authoritative. Credits are consumed by token usage, so your real number depends on how much you actually run.
Why this is not a simple comparison
A cloud subscription bundles two things into one monthly fee: the agent layer (memory, orchestration, tool use) and the model inference. A local box splits them. You buy the agent layer once, and you keep paying for inference — just at API rates instead of a SaaS markup.
That split is where the savings come from, and also where the claims go wrong. If you only compare "$349 once" against "$60 a month forever," you have quietly deleted the second half of your own bill.
Hardware is a one-time cost. Inference is not. Any honest comparison has to carry both lines for the whole period you plan to own the thing.
The three numbers that decide it
1. How much you pay today
Add up everything: ChatGPT Plus, Claude Pro, Gemini Advanced, Perplexity, any Cursor or Copilot seat, plus whatever you burn on API keys. Most people who think they spend $20 are actually spending $60 to $110. Check your card statement before you trust your memory.
2. How hard you will actually run it
This is the number people guess wrong in their own favour. A light user asking a few questions a day spends a few dollars a month in credits. Someone running an always-on agent that reads mail, watches pages, and drafts replies all day is on a different tier entirely. Be honest here — the calculator is only as useful as this input.
3. How long you keep it
Hardware amortises. A device that looks expensive over one year often looks ordinary over three, and obviously good over five. If you replace your laptop every two years, do not pretend you will keep a box for five.
When you should not buy one
Three honest cases where a subscription wins:
- You use AI occasionally. A few prompts a week does not pay back a device. Keep the subscription.
- You need frontier reasoning constantly. The heaviest workloads still belong on cloud models called per-request — which is exactly what a box does, so you gain orchestration and privacy, not raw model cost savings.
- You want it purely to save money. If saving is the only goal and your monthly spend is modest, the arithmetic will not flatter the hardware. Buy it because you want an agent that is always on and whose memory sits on your desk.
What you actually get for the money
| Luz AIbox | Build it yourself | Cloud subscriptions | |
|---|---|---|---|
| Upfront | $349 one-time | Hardware + days of setup | $0 |
| Monthly | Credits only | Electricity | Per seat, per service |
| Agent memory | On-device | You build it | Vendor servers |
| Always on | Yes, under 10W | Depends what you bought | Only while open |
| Setup | About 5 minutes | Hours to days | Minutes |
| When you stop paying | Agent keeps running locally | Keeps running | Everything stops |
How the box consumes credits
Credits are debited by the tokens your agent actually spends calling cloud models. Different models cost different rates, so the same task can be cheap or expensive depending on which model you route it to. Three things keep this down in practice:
- Route by task. Use a fast, cheap model for classification and summarising, and reserve the expensive one for hard reasoning.
- Keep work local. Orchestration, memory retrieval, and tool selection happen on the device and cost nothing.
- Watch the dashboard. Usage is visible in your account, so you can see what a workflow really costs before you scale it.
Frequently asked
Is there a mandatory subscription?
No. The hardware is a one-time purchase and ships with starter credits to get going. After that you top up when you need to. Monthly plans reset at month end; top-up packs stay valid for 365 days.
Can I use my own API keys instead?
Yes. The box speaks any OpenAI-compatible endpoint, so you can point it at your own keys and skip the credits entirely. That usually costs less if you already have API access.
Does it run models locally?
The agent layer runs locally. Inference is cloud, which is what makes a sub-10W fanless box viable. This is a deliberate architecture, not a limitation — and it is why the hardware can be this cheap and this quiet.
What if I stop paying altogether?
The agent runtime, your memory, and your tools keep working on the device. What stops is the cloud inference, so the box goes quiet until you top up or attach your own key. Your data stays put either way.
Run the numbers on your own usage
Luz AIbox Pro — $349 one-time, under 10W, 5-minute setup, ships with starter credits.
View Pricing → Compare the costs →