White Label AI App Builder Cost: $3,699, Paid Once
Most AI app builders sold as white label are rented by the month. This one is bought once, with the source, and set up on your servers. Below: what the other routes charge, what our figure covers, and the running costs that stay on your side, from model tokens to the runtime license.
Get a Fixed Quote →See the FeaturesRoutes to Your Own AI App Builder, Priced Side by Side
Buyers searching this category usually weigh a rented reseller plan, a fork or script, a commissioned build and a bought platform. The sticker matters less than what you hold a year later: the code, the users, the provider keys and the margin on every credit.
| Route | Typical Cost | Timeline | What You Hold Afterward |
|---|---|---|---|
| Rented reseller plan | A monthly fee, often counted per seat, for as long as you trade | Quick to start | Your logo on the vendor's workspace; servers, model choices and terms stay with the vendor |
| Open-source fork or script | Low or unclear up front, then mostly do-it-yourself | Unclear | A prompt box; sign-in, plans, metering and an admin console are left for you to write |
| No-code / Freelancer | $8,000 - $18,000 | Variable, frequently a wrapper around one provider | Whatever the brief paid for |
| Custom Development | $25,000 - $60,000 | 3-9 months | Everything, once the build is finished |
| Enterprise Solution | $70,000 - $150,000+ | 9-15+ months | Everything, after a long program |
| Miracuves platform | $3,699, one-time | 6 days to deploy | Full source, 22 providers, per-model credits, plans and the operator console |
The first five rows describe how those routes generally price and behave, not offers from us. A rented plan often folds hosting and the runtime into its fee, so the honest comparison is a one-time software price against a charge that repeats, not a promise that owning costs less to launch. Owning puts hosting, model usage and the StackBlitz license on your own invoices, and in exchange the credit margin is yours.
Six Days on Our Side, and the Jobs Running Beside Them
Our part ends when a branded platform is running on your infrastructure. Several approvals belong to you and other companies, so start them on day zero and let them overlap.
| Workstream | Who Does What | Usual Duration |
|---|---|---|
| Rebrand and deploy | We apply your name, colors and domain, configure the environment on your servers, test it and hand over a working platform | 6 days |
| LLM provider accounts | You open accounts with the providers you plan to offer and ask each one to lift its rate limits beyond the trial tier | Days to 2 weeks, alongside |
| Runtime license | You request a commercial license from StackBlitz for WebContainers, which production use in a for-profit product requires | Set by StackBlitz, so start early |
| Plans and credit rates | You decide which models each tier reaches and the input and output rate per model, so margin exists before anyone pays | 1-2 weeks, alongside |
| Payment provider | You open and get approved for a processor such as Stripe, which we wire in at deployment because the platform meters usage but takes no payments itself | 1-2 weeks, alongside |
What Moves Your Total Cost of Ownership
Our figure does not change once agreed. What changes month to month is the running side, and on a metered AI product one line outweighs the rest.
Model tokens
The heaviest recurring bill. Each generation on a shared key draws on provider accounts you pay for, which is why every model carries its own input and output credit rate on every plan.
The model line-up you switch on
A frontier model can cost many times what a small open-source one does for the same request. Offering all of them on a free plan is the quickest way to run a working product at a loss.
Where code executes
Installs, builds and previews happen inside each user's browser through WebContainers, so you rent no sandbox per session. That runtime still needs its commercial license from StackBlitz, which belongs in this line of the budget.
Server footprint
Your servers relay AI calls, run the auth proxy and hold six PostgreSQL tables. The documentation calls 2 vCPU and 4 GB comfortable, with 1 vCPU and 2 GB as the floor.
How generous the free plan is
Every free generation on a shared key is paid for by you. Since any plan can bring its own provider keys, you can let free users carry their own spend instead.
Support load
People who build software write exact, technical tickets. Plan for someone able to answer them, or state the level of help in each plan's terms.
Where the Six Days Go
Four stages, and what is in your hands when each one closes.
Brand and launch scope
Product name, logo, palette and domain, the providers you want live on day one, and the Free, Pro and Enterprise tiers you mean to sell.
Set up on your infrastructure
The platform goes onto the cloud you choose, using the Docker Compose files or Kubernetes manifests in the package. The database is migrated, your provider keys are held by the Express proxy, and runtime settings are applied.
Tiers, credits and flags
Each plan gets its models and a per-model input and output rate, token caps where you want them, template access, and the feature flags that match what you are selling.
Test and handover
A pass through the builder, each paid tier and the operator console, then the running platform is handed to you with every line of source and the documentation set.
Cutting Running Costs Without a Cheap-Feeling Product
Four settings that guard margin while users still get a capable builder.
Keep frontier models off the free plan
Model access is set per plan for exactly this reason. Free users get a model that does the job, and you learn your conversion rate before you start paying for premium tokens on their behalf.
Set input and output rates apart
Writing code produces far more output than input. One blended price overcharges a light user and silently loses money on a heavy one.
Launch with a short provider list
All twenty-two are wired in, yet each one switched on is one more account, key and rate limit to look after. Add more when users ask for them.
Cap tokens per request
Context size can be limited by plan and by model, whatever window the model itself allows, so one oversized request cannot drain a balance or your provider account.
Regional Development Rates
Writing it yourself? Then team location shapes the bill more than any other choice. A workbench with a browser runtime, routing across many providers, per-model credit metering and a transaction ledger takes about four engineers for six months, so plan on 4,000 engineering hours before design, QA and project management are counted.
| Region | Typical blended rate | 4,000 hours works out at | What usually gets cut first |
|---|---|---|---|
| North America | $100 - $180 / hr | $400,000 - $720,000 | Nothing - but the scope shrinks to fit the budget |
| Western Europe | $70 - $130 / hr | $280,000 - $520,000 | Per-model credit rates, so all models cost the same and one subsidises another |
| Eastern Europe | $40 - $70 / hr | $160,000 - $280,000 | Consumption-accurate metering, replaced by estimates |
| Latin America | $35 - $60 / hr | $140,000 - $240,000 | The template library, leaving users an empty workbench |
| Southeast Asia | $25 - $50 / hr | $100,000 - $200,000 | The credit ledger, so disputes end in refunds |
| India | $20 - $45 / hr | $80,000 - $180,000 | Multi-provider routing, locking you to one vendor's pricing |
| Miracuves readymade | Not hourly | $3,699 one-time | Nothing - the scope above is what ships |
The ranges indicate what a region's market tends to charge for this engineering; they are not our rates and they price the build only. On a product that sells metered usage, the Western and Eastern Europe cuts hurt most: flat model pricing and estimated consumption both hand away the gap between provider cost and credit price that was supposed to be your margin.
Why the Price Is Fixed, Not "Starting At"
An hourly contract rewards the vendor for going slowly. A fixed figure on software that already exists works the other way: the generation pipeline, the provider layer, metering and the console are written, so the job is branding, deployment and handover, none of which has an open end. That is why $3,699 is a single number with no asterisk. It shifts only if you add scope, never because our hours ran long. The deployment tasks the documentation marks as configuration required, such as CSP and HSTS headers, switching off demo accounts and a strong admin password, are named before you buy. Larger additions like single sign-on, two-factor sign-in, a dedicated audit datastore, a Redis-backed limiter, team workspaces or a native mobile app are quoted in writing up front instead of surfacing in a change order.
Hidden Costs Most Quotes Leave Out
None of these are paid to us, which is why comparisons tend to skip them. They are the operator's own running costs, and the first is by far the largest.
- LLM provider usageYour biggest variable line. You buy model capacity at wholesale rates and sell it on as credits, so any change in a provider's pricing lands straight on your margin.
- StackBlitz WebContainers licenseThe in-browser runtime is licensed commercially by StackBlitz. Production use in a for-profit product needs that license, which you obtain and pay for directly; StackBlitz sets the price, so ask them for a quote early.
- HostingThe platform runs on servers or a cloud account you hold, and the monthly invoice is yours. The load is light because user projects execute in the browser.
- Free-plan generationsEach one on a shared key is real spend at a provider. Treat the free plan as a marketing budget and give it a ceiling on purpose.
- Promotional credit grantsTrial, onboarding and win-back credits are written to the ledger with a reason, and they still use capacity you bought.
- Payment processingThe platform has no checkout. A processor such as Stripe is connected at deployment on your merchant account, and its fees, refunds and chargebacks come with it.
- Redis for several instancesRate limits sit in an in-memory map that resets on restart. Running more than one instance calls for a shared Redis store, which has its own running cost.
- Audit datastore and retentionIf your security review asks for retention windows, export and automated deletion, that means a separate store built on request, not a toggle.
- Keeping the model catalog currentProviders retire and launch models all the time. Updating the line-up and its credit rates is steady work for someone on your team.
- Answering questions about generated outputUsers will ask why the AI wrote what it wrote. That is a support skill, not a feature, and it grows with usage.
Weighing us against a reseller plan, an agency or a freelancer?
The Provider page compares ownership, timeline, licensing and support, and lists the questions to put to any provider before you sign.
Frequently Asked Questions
What does a white label AI app builder cost?
Is LLM usage included in the price?
Do I need a license from StackBlitz?
What sits outside the $3,699?
Do I owe Miracuves anything after launch?
What would change the price?
Explore the White Label AI App Builder
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Tell us the providers you want to offer and how you plan to price each tier. We will set the fixed figure next to the token, hosting and license costs that come with it, in writing.
Miracuves is an independent software development company. We are not affiliated with, connected to, sponsored by, or endorsed by Bolt.new, StackBlitz or any other AI app builder or code generation service.
“White label AI app builder” describes a category of product, not any one company. Brand names appear elsewhere on this site only to describe the kind of platform being built and the terms buyers search for.
We supply software, not rights to any AI model or runtime. Opening and paying for LLM provider accounts and staying within their terms, obtaining the commercial license StackBlitz requires for production use of WebContainers, your terms of service for the code your users generate, privacy notices and payment processing are your responsibility. We do not advise on any of it.
The entire design and codebase is built by our own team. The product contains no code, design, graphics, or content originating from any third-party AI app builder website or application. All third-party names and marks belong to their respective owners.