How Much Does It Cost to Build an MVP in 2026? Real Fixed Prices

The short answer

A working MVP from Zeebrix costs $30,000 to $70,000 and takes 6 to 10 weeks for an AI product, or 10 to 16 weeks for a cross-platform mobile app with a backend and admin panel. To test the idea before committing, a consulting engagement that ends in a working prototype costs $8,000 to $18,000.

Both are fixed prices for a defined scope, quoted after a free discovery call. The figure on the quote is the figure on the invoice.

The wider market is far less tidy. A 2026 guide from Helpware puts an MVP at $10,000 to $200,000 or more, and Appinventiv’s guide, updated in September 2026, stretches that to $5,000 to $500,000. A range that wide tells you the vendor bills by the hour and hasn’t yet worked out how many hours your build will take.

If your first version needs real-time features, several user roles and multiple integrations, you’re buying a v1 product, and we price those at $80,000 to $180,000 over 16 to 24 weeks.

What is an MVP, and what is it not?

An MVP is the smallest version of a product that lets real users complete one valuable job, so you can learn whether they want it. Atlassian’s definition is similar: the most basic version of a product, with only the core features needed to satisfy early adopters and validate the idea. Eric Ries called it the version that gives a team the maximum amount of validated learning with the least effort.

Notice what neither definition mentions: a feature count, a platform or a budget. What counts is what it teaches you.

So we push back when a founder arrives with a 40-screen wireframe and calls it an MVP. Enacton, an offshore agency, says a disciplined discovery phase cuts 30 to 40% of the initial feature wishlist. The first version should do one thing for one audience, well enough to produce a signal.

Our case studies for Mindway, a mental wellness app, and Petpass, a pet health records app, are the shape we mean: one clear job, one audience, built properly enough to launch and learn from.

Should you pay anyone for an MVP at all?

The third result on Google for this question is an essay by Paul O’Brien arguing that the real cost of an MVP is $0, because an MVP should prove demand rather than functionality. His example is Dropbox, whose MVP was an explainer video that took the waiting list from 5,000 to 75,000 people overnight.

We agree with more of this than you might expect from a development agency. Before paying anyone, put up a landing page on Carrd with a waitlist, open a Stripe pre-order you can refund, and count who shows up. All of that costs next to nothing, apart from Stripe’s fee on any pre-order you take. If nobody signs up, you’ve saved $30,000 and three months.

Where we part ways is the next step. A video can’t process a payment, store a health record or run a model over a customer’s documents. Once demand is proven, the question changes from “does anyone want this” to “can we deliver it reliably to people who pay,” and that is a build.

Enacton cites CB Insights’ finding that 42% of startups fail because there is no market need. That is why we ask what has been validated before we quote. If the answer is nothing, we send the founder off to validate first.

Why do MVP quotes range from $5,000 to $500,000?

Because most agency pages price hours rather than a product. Appinventiv publishes its formula: total role hours multiplied by a blended hourly rate, plus third-party setup, plus a 10 to 20% contingency. Move any input and the total moves with it.

Rates are the biggest lever. Helpware’s guide puts US developers at $80 to $150 or more an hour, Eastern Europe at $35 to $70 and Asia at $20 to $45. Enacton says the same MVP that costs $25,000 offshore costs $75,000 in Silicon Valley. Same scope, three times the price, and both numbers are honest.

Team model is the second lever. By Helpware’s figures, freelancers deliver an MVP for $10,000 to $40,000, an agency for $30,000 to $150,000 or more, and an in-house team for $80,000 to $200,000. In-house costs the most for a plain reason: the US Bureau of Labor Statistics put the median software developer wage at $135,980 in May 2025, before benefits and hiring time, and you can’t employ a quarter of a developer.

Scope is the third lever and the one buyers see least. Appinventiv puts it plainly: if two vendors estimate different user journeys, platforms or compliance responsibilities, their totals don’t describe the same MVP. Most quote comparisons fail right there.

What does a fixed-price MVP cost at Zeebrix?

We price scope, not hours. After a free discovery call we write down what the first version does, what it doesn’t do, and a fixed price with a fixed timeline. Appinventiv notes that fixed price works best after detailed discovery, which is why the call exists.

Exclusions go on the same page as inclusions, so quotes can be compared line by line. If a vendor won’t write down what is excluded, you can’t compare their number with anyone else’s.

Beevr also publishes fixed prices, about $18,000 for an investor-ready MVP and $38,000 for a production build, and Enacton’s offshore Basic tier is $5,000 to $10,000. We aren’t the cheapest name on that list. The extra money buys one accountable party and a scope that doesn’t grow by the hour.

Our MVP development service and our custom software development work are both quoted this way.

• Consulting engagement with a working prototype: $8,000 to $18,000. We test the idea, settle the architecture and leave you with a prototype to show users and investors.
• AI MVP for a startup: $30,000 to $70,000 in 6 to 10 weeks. One core AI workflow, your own data, real users.
• Cross-platform mobile app (iOS and Android) with backend and admin panel: $30,000 to $70,000 in 10 to 16 weeks.
• Complex app with real-time features: $80,000 to $180,000 in 16 to 24 weeks. This is the tier where “MVP” stops being the right word.

What pushes the price of an MVP up?

The kind of features, more than the number. Enacton and Appinventiv both publish per-feature figures, and they make a decent sanity check on any quote.

The pattern matters more than the figures. Login, payments and an admin screen are commodity work. The budget goes to real-time features, extra user roles and anything with AI in it. A first version that needs all three belongs in the v1 tier.

One driver cuts the other way. Helpware says AI-assisted development can reduce MVP cost by roughly 30 to 40%, then cites Veracode’s 2025 finding that about 45% of AI-generated code samples contained security flaws. We use AI tooling and review every line it produces.

• Login and user accounts: $1,000 to $3,000 for authentication at Enacton, $4,000 to $15,000 for registration and user profiles at Appinventiv.
• Payments: $3,000 to $7,000 at Enacton, $8,000 to $30,000 for payments and subscriptions at Appinventiv.
• Each third-party integration: $5,000 to $25,000 at Appinventiv.
• Admin panel and reporting: $8,000 to $35,000 at Appinventiv.
• AI or machine learning: $20,000 to $100,000 at Appinventiv, from $20,000 at Enacton.
• Real-time messaging alone adds $10,000 to $15,000, according to Enacton.

What does an MVP quote leave out?

Every MVP quote, ours included, leaves out costs that land on your own card. Ask about each of these before signing.

• Store accounts. Apple’s Developer Program is $99 a year and a Google Play Console account is a one-time $25, per their official pages.
• Payment processing. Stripe’s standard pricing is 2.9% plus 30 cents per successful domestic card transaction, and $15 per dispute.
• Hosting and APIs. Expect $50 to $500 a month for cloud hosting and another $50 to $500 or more for third-party APIs, by Helpware’s estimate.
• Legal documents. Helpware estimates Terms of Service and Privacy Policy drafting at $1,000 to $3,000.
• Compliance. If you touch health data, HIPAA work runs $18,000 to $40,000 or more in Helpware’s figures.
• Model usage, for AI MVPs. Our published running-cost figure is about $200 to $1,500 a month for one agent including hosting. OpenAI’s October 2026 list prices: GPT-6 Luna $0.10 per million input tokens and $0.50 per million output, GPT-6.1 Terra $1 and $5, GPT-6 Astra $10 and $50. Use the smallest model that does the job.
• Maintenance. Helpware puts ongoing maintenance at 15 to 25% of the original build cost, and Appinventiv budgets the same 15 to 25% every year. Our support retainer starts at $2,500 a month.

How long does it take to build an MVP?

Most MVPs take 8 to 16 weeks from kickoff to a release real users can try. Codevelo and 7L International both land on that range, and Netguru says three to four months. Our cross-platform mobile tier, at 10 to 16 weeks, sits inside that range, and our AI MVP tier, at 6 to 10 weeks, starts a little faster because it has one core workflow and no app store review.

Speed costs money. Helpware estimates a fast MVP delivered in 2 to 4 weeks at $40,000 to $80,000, a normal one in 2 to 3 months at $25,000 to $60,000, and a careful one in 4 to 6 months at $20,000 to $50,000. Compressing the calendar means more people working in parallel and less time to catch mistakes, so the same scope costs more.

Appinventiv’s budget split shows where the money goes: discovery 8 to 12%, design 10 to 15%, engineering 45 to 55% and QA 15 to 20%. A vendor who skips the first and last of those is cheaper on paper and more expensive by launch day.

US team or offshore: what are you paying for?

Most of the agency pages ranking for this question come from offshore teams, and the pitch is the rate card: $25 to $50 an hour in India against $80 to $120 in the US, in Enacton’s figures. The arbitrage is real and we won’t pretend otherwise.

What the rate card leaves out is what the extra money should buy: time-zone overlap, so a morning question gets a morning answer, and one accountable party that answers for the whole build. And the cost nobody tabulates: when a cheap build has to be redone, you pay for the MVP twice.

Offshore isn’t wrong. A technical founder who can review code and manage a remote team can save real money. A non-technical owner buying a first product usually can’t tell a good $25,000 build from a bad one until it is too late, and for that buyer a fixed price from a team in the same time zone is the safer money.

We have been building since 2017, across 200+ projects for 150+ clients, with offices in San Jose, California and Perth, Western Australia.

The checklist: 10 questions that make three quotes comparable

Send these to every vendor on your shortlist. If the answers don’t line up, neither do the prices.

Ten straight answers are worth more than any range on any agency page, this one included. If you want ours in writing, the discovery call is free.

• Is there a written scope document listing every screen and user journey, and is it attached to the quote?
• What are the acceptance criteria for done, and who decides?
• What is excluded? Ask specifically about store accounts, hosting, API bills, legal documents, content and data entry, design revisions, the admin panel, analytics and a second platform.
• Is the price fixed for that scope or an hourly estimate? If hourly, what happens at 110% of the estimate?
• Who owns the code repository, cloud accounts, domain, store accounts and every third-party login from day one? Insist on your name on all of them.
• Who is writing the code, where are they, and how experienced are they?
• How long is the post-launch bug-fix window and what does it cover?
• What does support cost after that window? Ours starts at $2,500 a month.
• What will it cost to run each month: hosting, APIs and, for an AI product, model usage?
• If we part ways halfway through, what happens to the work in progress and the accounts?

Frequently asked questions

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