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

The honest answer is: it depends. But that's only useful if you understand what it depends on — and most of the articles that claim to answer this question don't tell you that part.

This guide is for founders who need a real number to work with, not a range so wide it's meaningless. We'll cover what actually drives MVP cost, realistic ranges by product type, where to cut without hurting yourself, and where the savings always turn into something more expensive later.

When someone asks "how much does an MVP cost?", they're asking the equivalent of "how much does a building cost?" A garden shed and a hospital are both buildings.

The same range problem applies to software. A simple internal tool with basic CRUD functionality and no mobile requirement is a fundamentally different project to a two-sided marketplace with real-time features, payment integration, and native iOS and Android apps. Both might be described as MVPs.

That said, the range narrows significantly when you get specific about what you're building, who's building it, and how much definition exists before development starts.

Scope and feature count. This is the biggest lever. Every feature adds design time, build time, testing time, and future maintenance. Most first-time founders dramatically overestimate what an MVP needs to include. The goal is the minimum set of features that lets you test your core hypothesis — not the product you eventually want to exist.

Team composition. A senior engineer at a UK-based development agency costs more per hour than a mid-level freelancer on a global platform. But the output rate differs too — a senior engineer might build something in two days that takes a junior three weeks. The hourly rate doesn't tell you the project cost.

Design requirements. If your MVP needs a polished, consumer-facing UI — the kind where first impressions determine whether a user stays or leaves — design is not where you cut. If you're building an internal tool or B2B product where the buyer cares about function over aesthetics, you can move faster and cheaper on design. Conflating these two situations leads to either unnecessary spend or products that fail for reasons that had nothing to do with the idea.

Third-party integrations. Payment processors, authentication, analytics, email, SMS, mapping, AI APIs — each integration adds scope. Some are trivial. Some (particularly payment compliance and enterprise SSO) can add significant time. Count your integrations before you count anything else.

Infrastructure and hosting. A basic MVP can run for under £50/month on managed cloud infrastructure. A data-intensive or high-concurrency product needs more from day one. This is rarely the dominant cost driver at MVP stage, but it matters when estimating ongoing operational costs post-launch.

How much is defined before development starts. A project that goes into development with detailed wireframes, agreed user flows, and a written spec moves significantly faster than one being defined as it's built. The pre-development work is real work — it just looks cheaper because nobody's writing code yet. Skipping it typically costs you in scope changes and rework.

These are ranges based on working with early-stage companies across sectors. They assume a competent team — not the cheapest option available, not an expensive consultancy charging enterprise rates.

Simple web application A web-only product with straightforward user flows, standard authentication, a database, and modest design requirements. Range: £18,000 – £55,000

Example: a SaaS dashboard, a booking tool, a community platform, an internal operations tool.

Consumer mobile application (iOS or Android) Native or cross-platform mobile with standard features — onboarding, profiles, core functionality, push notifications. Range: £30,000 – £85,000

Add 30–40% for building both iOS and Android natively rather than using a cross-platform framework like React Native or Flutter.

Two-sided marketplace or platform Products with two distinct user types (buyer/seller, host/guest, client/provider) typically cost more because every feature has to work for two different contexts, and trust mechanisms (reviews, payments, disputes) add complexity. Range: £50,000 – £150,000

AI or data product Products with machine learning components, data pipelines, or LLM integrations vary widely depending on whether you're building on existing APIs (faster, cheaper) or training and fine-tuning models (slower, more expensive, rarely necessary at MVP stage). Range: £35,000 – £120,000

Using existing AI APIs (OpenAI, Anthropic, Google) rather than building custom models brings this number toward the lower end.

The ranges above assume a small, focused team: one or two senior engineers, a designer, and a product lead or project manager. At the lower end of each range, you're getting a genuinely functional MVP — something real users can use, that tests your core assumption, and that gives you data to work with. At the higher end, you're getting more polish, more features, more robust infrastructure, and a product that requires less explanation to an investor.

Neither end is inherently right. The question is whether the cost is proportionate to the uncertainty you're still carrying.

If you're not sure yet that people want what you're building, spend the minimum that lets you test it. If you've already validated demand and are raising a round on the back of traction, the higher-end investment may be appropriate.

Platform scope. Launch on web only, even if you eventually want mobile. A web app can be accessed on mobile. Starting cross-platform adds 40–60% to your scope and delays your first user interaction by months.

Admin tooling. Internal dashboards, CMS interfaces, and operational tools for your own team can be basic at MVP stage. Notion, Airtable, or direct database access will get you through the early period. Don't build a custom admin panel for a product with no users yet.

Feature depth. Build features to the minimum depth needed to test the hypothesis. A payment flow needs to work — it doesn't need to support twelve payment methods, subscription tiers, and multi-currency on day one.

Animations and micro-interactions. Unless your product is in a category where delight is the differentiator (consumer apps competing on experience), fine-grained animations are a late-stage concern.

Security fundamentals. Authentication, data encryption, and access control are not optional — especially if you're handling user data. The cost of a security incident, both financial and reputational, is disproportionate to the cost of getting these right from the start.

Core user flows. Whatever the one or two things your product has to do well — the flows that represent your central value proposition — those need to be done properly. Everything else is negotiable. This isn't.

Architecture decisions. Shortcuts in how the codebase is structured, how data is modelled, or how services communicate tend to compound. The debt from a badly structured MVP often costs more to address at scale than the original MVP cost. It's worth spending the time with a senior engineer to get the foundational decisions right, even if you're cutting scope everywhere else.

Experienced engineers on critical components. Junior engineers cost less per hour. They're also slower and make more architectural mistakes that take senior time to untangle. On low-risk components, this trade-off is fine. On the parts of your product that have to work — don't optimise for hourly rate.

Over-building.

It's more common than under-building, and it's more expensive. Teams that spend eight months building a comprehensive product before showing it to users frequently discover, at launch, that users want something meaningfully different from what was built. Eight months of work becomes the starting point for a rebuild, not a launch.

The purpose of an MVP is to learn as fast as possible. Every week you spend building before you have a real user reaction is a week of risk you're carrying without data to offset it.

The cheapest MVP is the one that answers your most important question the fastest.

If you're at the point of getting quotes, a few things will produce better numbers:

Write down your user flows before you talk to anyone. "We need a marketplace" is not a brief. "A buyer can search by location, filter by availability, view a profile, and book a session with a one-step checkout" is a brief. The more specific you are, the more accurate the estimate.

Ask what's included. Does the quote include design? QA testing? Deployment setup? Project management? Bug fixes for the first month post-launch? These vary significantly between providers and make quotes that look similar actually quite different.

Ask what's not included. The fastest way to discover scope gaps is to ask what assumptions the estimate is based on.

Get at least two quotes. Not to play providers off each other, but because the process of receiving and comparing two different interpretations of your brief often surfaces scope assumptions you hadn't made explicit.

If you're working out what your MVP should cost and want a realistic scoping conversation before committing to a budget, our product consulting team can help you define scope and estimate properly. If you have scope defined and need the team to build it, take a look at how we work or get in touch directly.