How Much Does an MVP Cost?
Cost is set by scope, and scope is set by how ruthlessly you cut. Enter the features you believe are essential, then remove the ones that do not test the core assumption.
- Build and run cost
- Feature by feature
- Free, no sign-up
- Nothing is stored
Scope your MVP
Email me this estimate
Get your MVP scope, cost range, and delivery-model comparison in your inbox to share with co-founders or investors.
The most expensive misunderstanding in software
An MVP is not a small version of the finished product. It is the smallest thing that proves whether people want it — and the difference between those two is usually the difference between eight weeks and eight months.
Enter the features you believe are essential, then remove the ones that do not test the core assumption. The second number is the real one.
Cutting scope without cutting value
Every feature removed here is one you can still build in month four, with the benefit of knowing whether anyone wants it.
- Manual is fine at first. If ten customers need onboarding, do it by hand. Automate at a hundred.
- One user role. Admin panels can wait — and two roles is not twice one role, because permissions multiply.
- Buy authentication, payments and email. Nobody has ever chosen a product for its login screen. And skip the settings page: configurability is the most expensive feature nobody asked for.
What actually drives the cost
The same product idea can be a six-week build or a nine-month one depending entirely on what survives the feature list. Everything below follows from the first line.
- Number of features — everything else follows from this. User roles next, because permissions multiply rather than add.
- Integrations each bring their own auth, edge cases and failure modes. Custom versus component design decides whether the UI takes days or weeks.
- Whether it is AI-native changes the shape of the budget entirely — AI features add a running cost per user, not just a build cost.
Eight to twelve weeks, and why
Under six weeks usually means the scope was too small to validate anything. Beyond six months usually means the scope was never cut — and by the time it ships, the assumption it was meant to test has changed.
- Discovery and design are short because the decisions were made before the build started.
- Build is the bulk of it, and testing is not optional — an MVP that falls over tests nothing except your patience.
- Launch prep runs alongside the last two phases, not after them.
Launch prep runs alongside the last two.
Two budgets, not one
The build is paid once. The run is paid every month — hosting, infrastructure, and for AI products, model usage. Teams estimate the first reasonably well and the second badly.
- An AI-native product with meaningful usage can carry a monthly cost that changes whether the pricing model works at all.
- That is worth knowing before you build rather than after, because it is a pricing decision disguised as an infrastructure one.
- Price it with the LLM Token Cost Calculator and the API Cost Calculator before the first line is written.
Four numbers worth keeping
Why Parix.ai gives this away
We build SaaS MVPs, and we scope against a cut feature list rather than a wish list — because that is the only version anyone can quote honestly. Running that cut yourself costs nothing and makes the conversation shorter.
Estimate my MVPWho uses it
Founders sizing a first build, product teams sanity-checking a quote, and anyone who has been told “about three months” without a feature list attached.
The test for every feature
Does this test the core assumption? If not, it is not part of the MVP — however obvious it seems that the product will eventually need it. The MVP Feature Prioritizer forces that decision and records it.
Want a quote instead of an estimate
Parix.ai builds SaaS MVPs. An estimate from a feature list is a good start; a quote needs a conversation, and the estimate is what makes that conversation short.