"Self-hosted AI is more expensive" is one of those things everyone repeats and nobody checks. So let's check it — honestly, including the costs that usually get left out of both sides.
The monthly-vs-once trap
Cloud AI is priced to feel cheap: $20–30 a month, cancel anytime. Self-hosted AI has a number that looks scary up front: a few hundred euros for hardware. But you're comparing a recurring cost to a one-time cost, and over a multi-year horizon that changes the picture completely.
The honest question isn't "which is cheaper this month" — it's "what does each actually cost over three years of real use?"
Cloud AI: the 3-year math
Take a single mainstream AI subscription at ~$20/month:
- Year 1: ~$240
- Year 2: ~$480 cumulative
- Year 3: ~$720 cumulative
For a small team of five on per-seat tools at ~$25/user/month, that's $1,500/year — $4,500 over three years, and it never stops. Add a second tool (transcription, coding, image) and it compounds.
What you get for it: excellent models, zero maintenance, and a hard dependency — your history lives on their servers, prices can rise, and the service can change or disappear.
Self-hosted AI: the 3-year math
A dedicated always-on box like a ClawBox is €549 once. The ongoing cost is electricity:
15W running 24/7 is roughly €3/month (€36/year) at typical EU rates.- 3-year total: €549 + ~€108 ≈ €657 at the stated 15W and electricity assumptions, before maintenance or optional cloud services.
If you also call cloud models per request, you pay only for what you actually use — not a flat monthly seat whether you use it or not.
| Cloud (1 user) | Self-hosted (ClawBox) | |
|---|---|---|
| Up-front | €0 | €549 |
| Ongoing | ~$20/mo | ~€3/mo power |
| 3-year total | ~$720 | ~€657 |
| Per-seat fees | Plan-dependent | Hardware is not licensed per seat; capacity and services vary |
| Data location | Their cloud | Your hardware |
| Works offline | No | Yes (local models) |
For one user the totals are surprisingly close. A team can share self-hosted capacity without licensing the hardware per person, but concurrency, model size, support, and any connected services still affect the real cost.
The costs people forget
On the cloud side: per-seat multiplication, annual price creep, and the switching cost — export your history and you get a text dump with none of the learned context. That lock-in is a real, if invisible, cost.
On the self-hosted side: be honest too. A pure-DIY build costs you time — sourcing parts, flashing, installing, troubleshooting, and ongoing updates. That's 10–20 hours that aren't free. The way to avoid that cost is a pre-configured appliance (that's the entire point of ClawBox): you skip the build but keep the ownership.
When cloud actually wins
Self-hosting isn't always right. Cloud makes sense when:
- You need the absolute frontier model for every single query and nothing less.
- Your usage is tiny and occasional.
- You never want to think about hardware at all.
The good news: you don't have to choose. A self-hosted box can call cloud models when you want their power and run local models the rest of the time — frontier quality when it matters, local processing when it fits, and no per-request model API fee for local requests. Electricity and maintenance still remain.
The bottom line
Over three years, self-hosted AI can be competitive, especially when several people share the same appropriately sized system. It also gives you owned hardware, local processing for suitable work, and an offline fallback. Compare actual workloads rather than assuming either option always wins.
If you want the ownership without the build, that's what we make.