En
Fr
De
It
Es
Uk
How much does an MVP cost in 2026?
With Lytvynov Production, MVP development cost in 2026 typically ranges from $6,000 for a focused web product to about $50,000 for a production-ready product with web and mobile apps, admin, payments and integrations. Most MVPs we build land at $10,000 to $20,000. A typical US or UK agency quotes roughly 2.5 to 4 times more for the same scope. The real number depends on scope, platforms and integrations, and we give a fixed quote after a short scoping call.
A minimum viable product is the smallest version of your product that real users can use for the core job, and that you can learn from. It is not a demo and it is not the full roadmap. Most budget overruns come from confusing the two: founders ask for an MVP and then describe version three. The fastest way to control MVP cost is to write down the one workflow that must work end to end and treat everything else as a candidate for later.
What does an MVP cost by scope?
The single biggest cost driver for an MVP is scope: how many user roles, platforms and integrations the first version needs. The table below shows our typical ranges by scope (design, development, QA and deployment included) next to what a typical US or UK agency quotes for the same scope in 2026.
| MVP type | Typical scope | Typical timeline | With Lytvynov Production | Typical US/UK agency |
|---|---|---|---|---|
| Focused web MVP | One user role, one core workflow, auth, admin basics | 6-10 weeks | $6,000 - $15,000 | $15,000 - $60,000 |
| SaaS MVP | Accounts, teams, roles, subscriptions, billing, dashboard | 8-14 weeks | $10,000 - $25,000 | $25,000 - $100,000 |
| AI-native MVP | Web app plus LLM features, prompt management, usage limits | 8-14 weeks | $12,000 - $50,000 | $30,000 - $200,000 |
| Web plus mobile MVP | Web app and iOS/Android (React Native or Flutter) | 10-16 weeks | $15,000 - $50,000 | $40,000 - $200,000 |
| Two-sided marketplace | Two user types, search, messaging, payments, payouts | 12-20 weeks | $20,000 - $50,000 | $50,000 - $200,000 |
| Full online business | Product, admin, payments and integrations, production-ready | 12-20 weeks | $35,000 - $70,000 | $125,000 - $200,000 |
Most MVPs we build land at $10,000 to $20,000. If you want to see how the build is sequenced week by week, read our MVP development process guide.
What drives MVP development cost up or down?
MVP cost is driven by the number of distinct things the product must do reliably, not by the number of screens. A screen that shows data from three external systems costs more than ten static pages. These are the drivers we see move budgets most often:
- User roles. Each role (admin, customer, provider, manager) adds permissions, views and test cases. Two roles is a very different project from five.
- Platforms. Web only is cheapest. Adding iOS and Android through React Native or Flutter shares much of the code but still adds design, testing and store release work.
- Integrations. Payments, calendars, CRMs, delivery APIs, banking or government systems each add build and testing time, and some add compliance work.
- Real-time features. Chat, live maps, notifications and collaborative editing require extra infrastructure.
- Data and compliance. Health, finance and children's data bring security reviews, audit logs and legal checks.
- AI features. Covered in detail below.
- Team location and seniority. The same scope can cost two to four times more depending on region and seniority mix.
How much do AI features add to MVP cost?
With Lytvynov Production, a single AI feature built on a hosted model API adds from $2,000 to an MVP, while retrieval over your own data or model fine-tuning adds considerably more. The model call itself is simple; the cost is in prompts, guardrails, evaluation and handling bad outputs.
| AI feature | What it involves | Added cost with Lytvynov Production | Typical US/UK agency |
|---|---|---|---|
| Text generation or rewriting | OpenAI or Claude API, prompt templates, output validation | $2,000 - $5,000 | $5,000 - $20,000 |
| Chat assistant on product data | Conversation state, tool calls to your API, rate limits | $3,000 - $8,000 | $8,000 - $30,000 |
| RAG over your documents | Ingestion, chunking, vector search (pgvector, Qdrant), evaluation set | $5,000 - $15,000 | $12,000 - $60,000 |
| AI agent that takes actions | Tool definitions, approval steps, logging, failure handling | $5,000 - $20,000 | $12,000 - $80,000 |
| Fine-tuning or LoRA training | Dataset preparation, training runs, model hosting | $20,000 and up | $50,000 and up |
A complex AI product built around fine-tuning and RAG memory is a different category: a product of that scope costs $60,000 to $150,000 with us. For most MVPs, start with a hosted model and good prompts, then add retrieval if the product needs your own knowledge. Fine-tuning is rarely the right first step. Our AI integration service covers how we choose between these options.
Our own product AI Resume Master is an example of an AI-native MVP done this way: an LLM generates, rewrites and improves resume content and cover letters inside a standard web product. The platform was built in about three months and reached 50,000 monthly active users. See the AI Resume Master case study.
How much does MVP development cost by region?
Region changes the hourly rate more than anything else, and hourly rate multiplied by hours is most of the MVP budget. This is why the same MVP that costs $10,000 to $20,000 with us is often quoted at 2.5 to 4 times that by a US or UK agency. Typical blended agency rates we see in the market in 2026:
| Region | Typical agency rate (2026 market range) | Notes |
|---|---|---|
| United States | $100 - $200+ per hour | Full time zone overlap, highest cost |
| UK and Western Europe | $80 - $160 per hour | Strong overlap with Europe |
| Poland and Central Europe | $45 - $90 per hour | EU jurisdiction, mature market |
| Ukraine | $30 - $50 per hour | Strong engineering base, 2-3 hours ahead of Central Europe |
| Latin America | $35 - $80 per hour | Good overlap with US time zones |
A lower rate only saves money if the team is productive and the scope is controlled. A cheaper team that needs twice the hours is not cheaper. We compare regions, time zones and risks in detail in our guide to outsourcing software development to Ukraine.
What does an MVP cost to run after launch?
Running an MVP after launch usually costs from under $100 to a few hundred dollars per month in infrastructure, plus usage-based fees for AI and third-party APIs. The bigger ongoing cost is people: bug fixes, small improvements and keeping dependencies up to date.
Typical monthly items for an early-stage product:
- Hosting and database: a managed cloud setup for an MVP often runs $50 to $500 per month until traffic grows.
- Email, storage, monitoring, error tracking: often free tiers at first, then tens of dollars each.
- AI API usage: billed per token. A simple generation request may cost a fraction of a cent, while long documents or multi-step agents cost more per request. Set per-user limits and cache repeated results from the first release.
- Maintenance: many teams budget 10 to 20 percent of the initial build cost per year, or a small monthly retainer.
How can you reduce MVP cost without hurting the product?
The most reliable way to reduce MVP cost is to cut scope before development starts, not to cut quality during it. Removing a feature on paper costs nothing; removing it after it is half built costs the time already spent.
Scope cuts that rarely hurt a first release:
- Launch on one platform. A responsive web app first, native mobile apps later.
- Use managed services. Hosted authentication, Stripe for payments, managed databases and email services instead of custom builds.
- Keep the admin panel minimal. A generated admin (EasyAdmin in Symfony, for example) covers early operations.
- Fake the rare paths. Manual refunds, manual onboarding for the first customers, email instead of in-app notifications.
- Use sandbox integrations. Build each integration behind an interface with a sandbox implementation so the product can be demonstrated before real credentials arrive.
The last point is how we built the flower subscription service: Telegram ordering, courier dispatch through Uklon Delivery and a CRM all worked end to end in sandbox mode from day one, before the client connected production credentials.
How do you compare MVP quotes from different agencies?
Compare MVP quotes by putting them against the same written feature list and checking what each one includes, not by comparing the totals. Two quotes of $15,000 and $45,000 are often pricing two different products.
Questions that make MVP quotes comparable:
- Does the quote include UX/UI design, or only development from your designs?
- Is QA a separate role, or do developers test their own work?
- Are deployment, CI/CD, monitoring and a staging environment included?
- How many rounds of changes are included, and how are new requests priced?
- Who exactly will work on the project, and at what seniority?
- Is post-launch support included, and for how long?
- Who owns the code, the cloud account and third-party API keys?
A low quote that excludes design, QA and deployment often ends up more expensive than a higher, complete one. Ask each agency to list its assumptions in writing; the assumptions tell you more than the number.
Why is a fixed quote only possible after scoping?
A reliable fixed MVP quote needs a written feature list, user flows and a list of integrations, and those rarely exist at the first call. Any firm price given without them either hides a large buffer or leads to change requests later.
This is why we give a fixed quote after a short scoping call. On the call we agree the one workflow that must work end to end, the user roles, the platforms and the integrations, and turn that into a prioritized feature list and a milestone plan. The build then runs as fixed-scope milestones, so you know what each stage delivers and costs before it starts.
How we price MVP development at Lytvynov Production
Lytvynov Production builds MVPs for startups and B2B companies in the US and Europe, with PHP/Symfony on the back end, React or Vue on the front end, React Native or Flutter for mobile, and OpenAI or Claude APIs for AI features. Senior engineers run delivery, and we use AI coding agents internally to speed up routine work, which is part of how we keep MVP timelines short.
Our MVPs typically cost $6,000 to $50,000, and most land at $10,000 to $20,000. Because two MVPs with the same name rarely share the same scope, we give a fixed quote after a short scoping call, split into milestones. Projects like the Kodcy pet boarding marketplace, with iOS and Android apps, map search and real-time chat, were delivered in about three months this way.
If you have a product idea and a rough budget, tell us about it and we will tell you honestly what fits in that budget. You can also read more about our MVP development service.
