If you search for what an app costs, the first answer you find is usually a six-figure median. That number is real, but it almost certainly does not describe your project, and the gap between it and what you will actually pay is large enough to change what you decide to build.
Clutch maintains a live pricing directory built from the projects reviewed on its platform. As of its 31 July 2026 update, Clutch's app development pricing guide reports that most app development projects on the platform fall between $10,000 and $49,999, with an average project cost of $90,780 and a typical timeline of around 11 months. Both numbers are true at once. The average is dragged upward by a small number of very large projects, and the range is where most real work sits.
That is the first useful thing to understand about app pricing. There is no single price because there is no single product. What follows is what the outside data actually says, what moves the number in practice, and what we charge.
What an hour costs, and why the hourly rate tells you very little
Clutch's directory puts most app development companies in the $25 to $49 per hour bracket, including firms in the United States, Spain, Mexico and the Philippines. Indian firms sit below $25. Australian firms sit between $100 and $149.
Accelerance's 2026 rate data, published in November 2025, breaks the same picture down by seniority. Senior developers in Central and Eastern Europe run $64 to $76 per hour, senior developers in Latin America $60 to $75, and senior developers in Asia $31 to $41. Junior rates run roughly half of senior across every region.
The more interesting part of that dataset is the direction. Rates fell in every major region during 2025. Latin America dropped 7.1 percent year on year, Central and Eastern Europe 4.4 percent, and Asia around 8 percent. Accelerance attributes this to competition and to the growing pool of AI-assisted developers.
Rate arbitrage used to be the main lever on software cost. It is closing. A team at $35 an hour that needs 900 hours costs more than a team at $70 an hour that needs 350, and the second team usually produces something that survives contact with real users. When you compare quotes, compare the total and the scope behind it, not the rate.
What actually drives the price
The reliable predictor of what a build costs is not the number of screens. It is the number of distinct states your data can be in, and the number of systems that have to agree about those states.
A booking app with one user type, one payment path and no external integrations is a small project regardless of how many screens it has. A booking app with three user roles, partial refunds, a calendar sync to an external system, and an audit requirement is a different project entirely, even if it looks nearly identical to the user. Roles multiply against states, states multiply against integrations, and the testing surface grows with the product of all three.
Four things move a quote more than anything else.
Integrations. Every external system you connect to is a contract you do not control. Its API changes, its rate limits bite, its sandbox behaves differently from production, and its failure modes become your failure modes. A single well-documented integration adds modest cost. Four integrations, at least one of which is an older system without a real API, can double a project.
Roles and permissions. The jump from one user type to several is the single most underestimated cost in custom software. Every screen, every endpoint and every report has to be correct for every role, and getting it wrong is a security problem rather than a cosmetic one.
Data migration. Moving existing records into a new system is rarely quoted honestly because nobody knows how bad the data is until they look. This is the line item most likely to blow a fixed price.
Compliance and audit requirements. If you handle health, financial or personal data under a regime that requires audit trails, retention rules and access controls, that is a structural requirement rather than a feature. It is far cheaper to build it in at the start than to retrofit it.
Notably absent from that list is design polish. Visual quality is worth paying for, but it is a small fraction of a build budget and it is not what makes projects overrun.
What we charge
We build custom software and MVPs, and we run our own products, so these are the ranges we actually work in rather than a market survey.
An AI audit starts at $3,000, and the fee is credited toward a build if you go ahead. The audit exists so you can find out what a project is worth before committing to it. It ends with one problem picked and scoped, not a report.
Integration projects run $5,000 to $15,000. This is the range for connecting systems you already have, putting AI into an existing workflow, or building a focused internal tool that does one job well.
Larger builds start at $18,000. A first version of a real product, a multi-role internal platform, or a customer-facing application with its own data model sits here and goes up from there depending on the four drivers above.
Ongoing work runs $2,000 to $6,000 per month. Software is not finished at launch, and this is what it costs to keep a shipped product changing with the business rather than decaying.
If those numbers look low against the Clutch average, that is mostly scope discipline rather than a rate difference. Most of the cost in a large quote is work that should not be in the first version.
The number nobody puts in the quote
An application is closer to a subscription than a purchase. After launch you are paying for hosting and third-party services, for dependency and security updates, for the small changes that keep the product usable as the business changes, and for the eventual replacement of an integration when the vendor on the other end deprecates something.
A workable planning assumption is that a year of ownership costs a meaningful fraction of the original build. If your budget covers the build exactly and nothing else, the product will start degrading within months, and the second year will cost more than budgeting for maintenance would have.
This is also the honest argument against the cheapest quote. The cheapest build is usually the one that produces code nobody else can safely change, which means every later change is priced as though it were new work.
Why estimates go wrong
The Standish Group's CHAOS research found that 31 percent of software projects were successful, 50 percent were challenged, and 19 percent failed outright. The size effect in that data is the part worth acting on. Small projects succeeded around 90 percent of the time. Large projects succeeded less than 10 percent of the time.
The named success factors were user involvement, executive support and a clear statement of requirements. None of those are technical, and none of them are things a development partner can supply on your behalf.
The practical consequence is that project size is a risk decision, not just a budget decision. Cutting scope until the first release is small is the highest-leverage thing you can do to protect the money you are spending, and it is usually resisted because a small first release feels like a compromise. The data says it is the opposite.
How to get an estimate you can trust
Ask for the estimate to be broken into the pieces that carry risk, not into screens. If a quote lists twelve screens at a similar price each, the person writing it has not thought about your data.
Ask what happens when the estimate is wrong, because it will be, and the answer tells you how the relationship will work. Ask what is explicitly out of scope, since the gaps are where fixed-price projects turn adversarial. Ask to see the data model before you approve the budget, because a partner who can draw your data correctly after two conversations understands the problem, and one who cannot will discover the real complexity while spending your money.
Then start smaller than feels right. You will learn more from four weeks of real usage than from four months of specification, and the specification will be wrong in ways the usage would have shown you.
Frequently asked questions
How much does it cost to build an app?
Most app projects reviewed on Clutch fall between $10,000 and $49,999, with an average of $90,780 across all sizes as of July 2026. Our own builds start at $18,000, with focused integration work from $5,000. The range is wide because complexity, not size, sets the price.
Is it cheaper to build an MVP first?
Almost always, and not only because the first bill is smaller. A first version that reaches real users tells you which half of your planned features nobody wanted, which is money you then do not spend. The Standish data showing small projects succeeding around 90 percent of the time points the same way.
Why do quotes for the same project differ so much?
Usually because they are not the same project. One firm has quoted what you asked for, another has quoted what it thinks you will need in year two, and a third has quoted a number low enough to win the work and expects to make it back on changes. Compare the assumptions, not the totals.
Does offshore development actually save money?
Sometimes, and less than it used to. Accelerance's 2026 data shows senior rates in Asia at $31 to $41 per hour against $64 to $76 in Central and Eastern Europe, so the rate gap is real. The saving disappears when time zones, specification overhead and rework eat the difference. It holds up best on well-specified work and worst on anything still being figured out.
What should I budget for after launch?
Plan for a recurring cost rather than a one-off. Hosting, third-party services, security updates and small changes continue for as long as the product is in use. Our retainers run $2,000 to $6,000 per month depending on how much the product is still moving.
Where to start
If you have a budget in mind and are not sure what it buys, the cheapest way to find out is to scope one problem properly before committing to a build. Our audit starts at $3,000 and the fee comes off the build if you proceed.