How Much Does it Cost to Build an MVP: Realistic Ranges, AI MVP Budgets and Examples

Quick Answer
MVP development cost typically ranges from $25,000 for a simple, single-platform product to $250,000 or more for a complex, regulated or AI-heavy one. Most funded SaaS, mobile and AI MVPs land between $40,000 and $150,000 and take three to six months. The three biggest cost drivers are feature scope, platform choice and integrations.

An MVP exists to answer one question before you spend serious money: will real users pay for this? Getting the budget wrong in either direction defeats that purpose. Underfund it and you test a product too weak to judge; overfund it and you have built version 2 before learning anything.

The challenge is that quotes for the same idea can range from a few thousand dollars to well over $200,000. That spread rarely comes from pricing alone. It comes from different assumptions about features, platforms, integrations, AI components and what happens after launch. Founders who understand those assumptions can compare proposals properly and protect their runway.

This guide breaks down MVP development cost with realistic ranges by complexity, platform and product type, a full section on AI MVP budgets, three worked examples with phase-level splits, and the costs that come after launch. It is written for founders, product leaders and enterprise innovation teams planning a first release.

PoC, Prototype, MVP or MLP: Know What You Are Paying For

A minimum viable product is the smallest version of a product that real users can use, and that produces evidence about whether the idea works. It is not a demo and not a finished product. Many budgets go wrong because teams ask for an MVP when they need something cheaper, or something more complete.

Stage	Purpose	Typical cost	Typical timeline
Proof of concept (PoC)	Prove a technical approach works, often an AI model or integration	$10,000 to $40,000	2 to 6 weeks
Prototype	Test the user experience and demand with clickable screens or a no-code build	$5,000 to $25,000	2 to 4 weeks
MVP	Put a working product in front of real users and measure behavior	$25,000 to $150,000	3 to 6 months
Minimum lovable product (MLP)	Compete in a crowded market where basic functionality is not enough	$80,000 to $250,000+	4 to 8 months

If technical feasibility is the open question, start with a PoC. If you are unsure users want the workflow at all, a prototype is cheaper. Build the MVP once both are answered, which is how our AI PoC and MVP development engagements are usually sequenced.

MVP Development Cost by Complexity

Complexity is the first filter, and it shapes the cost to develop an MVP more than any other single factor. It reflects the number of user roles, features, integrations and the amount of business logic behind each screen.

Complexity	What it typically includes	Cost range	Timeline
Simple	One platform, one user role, 5 to 8 core features, 1 to 2 integrations	$25,000 to $60,000	8 to 12 weeks
Mid-level	Web or cross-platform mobile, 2 to 3 roles, payments, admin panel, 3 to 5 integrations	$60,000 to $150,000	3 to 5 months
Complex	Multiple platforms, real-time features, AI components, compliance scope	$150,000 to $250,000+	5 to 8 months

What an MVP Costs by Product Type

Product type shapes what has to be built before users see any value. A two-sided marketplace needs both sides working on day one; a SaaS tool can launch with one strong workflow.

Product type	Typical cost	What drives the cost
B2B SaaS web app	$40,000 to $120,000	Roles and permissions, billing, onboarding, integrations
Mobile app (cross-platform)	$50,000 to $140,000	Device features, offline use, app store requirements
Two-sided marketplace	$70,000 to $180,000	Two user journeys, payments and payouts, trust and reviews
AI-powered product	$40,000 to $250,000+	Data preparation, model approach, evaluation, usage costs
Fintech or healthtech (regulated)	$100,000 to $250,000+	Compliance controls, security testing, audit trails

SaaS MVP development cost in practice

SaaS MVP development cost usually sits in the middle of the table because the hard parts are well understood: authentication, multi-tenant data, subscription billing and an admin panel. What pushes a SaaS MVP toward $120,000 is enterprise readiness, such as SSO, granular roles and audit logs, built before a single customer asks for them.

Seven Factors That Decide Your MVP Budget

• Feature scope. Each feature adds design, build and test effort. The difference between 6 and 15 features is often the difference between $50,000 and $150,000.
• Platform. One web app costs far less than separate iOS and Android apps.
• Design depth. A clean design system on proven patterns is cheaper than custom illustration and motion work, and usually tests just as well.
• Integrations. Payments, maps, CRM, identity and data providers each add $2,000 to $20,000 depending on documentation quality.
• Tech stack. Mainstream frameworks with large talent pools keep both build and hiring costs down.
• Compliance. HIPAA, PCI DSS or SOC 2 scope adds security controls, logging and testing across the build.
• Team model and location. The same scope can cost twice as much depending on who builds it and where.

MVP App Development Cost by Platform

Platform choice is the single easiest lever on MVP app development cost. Launch where your first users already are, not everywhere at once.

Platform	Typical cost	Best when
Web app (responsive)	$30,000 to $100,000	B2B tools and products used mainly at a desk
Single native app (iOS or Android)	$40,000 to $110,000	Your early users are concentrated on one platform
Cross-platform (Flutter or React Native)	$50,000 to $140,000	You need both stores from day one
Two separate native apps	$80,000 to $200,000	Heavy device-level features or performance demands

Cross-platform frameworks share most of the code between iOS and Android, so they typically cost 30 to 40 percent less than two native apps. Native still wins for intensive camera, AR, Bluetooth or background processing work. Our mobile app development services team usually recommends cross-platform for MVPs unless one of those features is central to the product.

Where the Budget Goes: Cost by Phase

Phase	Healthy share	What it covers
Discovery and scoping	8 to 12%	Feature prioritization, user flows, architecture, written scope
UI/UX design	10 to 15%	Wireframes, clickable prototype, visual design
Development	40 to 50%	Front end, back end, integrations, admin tools
QA and testing	15 to 20%	Functional, device, security and user acceptance testing
Deployment	3 to 5%	Cloud setup, app store submission, launch support
Project management	8 to 12%	Sprint planning, reporting, change control

A proposal that skips discovery or folds testing into development is not cheaper. It moves those costs into rework after launch, when they are more expensive.

Team Models and Regional Rates

Team model decides both the rate and how much management falls on you. The rates below are typical blended hourly ranges for professional delivery teams.

Option	Typical cost	Trade-off
In-house US team	About $14,000 to $20,000 per engineer per month, fully loaded	Full control, but months of hiring before work starts
Freelancers	$30 to $120 per hour	Cheap for small tasks, risky for a full product with no one owning delivery
US agency	$120 to $220 per hour	Full overlap and accountability at the highest rate
Latin America or Eastern Europe	$45 to $100 per hour	Good overlap or engineering depth at mid-range rates
Dedicated India-based team	$28 to $60 per hour, or $22,000 to $40,000 per month for a five-person team	Lowest total cost when product ownership and code review are strong

The in-house figure starts from the US median wage for software developers, which the U.S. Bureau of Labor Statistics puts above $130,000 a year, plus benefits, taxes and recruiting. For an MVP that may pivot in three months, that fixed cost is hard to justify.

India-based delivery works best as a deliberate model, not a discount. A product owner on your side sets priorities in US hours, and a dedicated team builds and tests overnight, so feedback from one day is in the build the next morning. You can hire dedicated developers with onboarding in as little as 48 hours instead of waiting for a hiring cycle.

Want a scoped number for your MVP? Our team can turn your idea into a prioritized feature list, a phase-level estimate and a timeline before you commit. Request an MVP estimate.

AI MVP Development Cost: What Changes When AI Is the Product

The budget for an AI MVP depends less on the screens and more on four decisions made before any code is written: which model, how it gets your knowledge, how you measure quality and what it costs to run.

AI MVP type	Typical cost	Timeline
AI feature on an API model (chat, summarization, extraction)	$40,000 to $80,000	8 to 12 weeks
RAG product grounded in your own data	$60,000 to $150,000	3 to 5 months
Fine-tuned model or multi-step AI agents	$120,000 to $250,000+	4 to 8 months

API model or open-weight model

Hosted API models from providers such as OpenAI, Anthropic or Google are the fastest and cheapest way to start, because there is no infrastructure to run. Open-weight models hosted on your own cloud give more control over data and cost at scale, but add GPU infrastructure that can run from about $1,000 to over $10,000 a month. Most MVPs should start on an API and keep the option to switch.

RAG or fine-tuning

Retrieval-augmented generation (RAG) lets the model answer from your documents and data without retraining it, which makes it the default for MVPs. Fine-tuning makes sense later, when you need consistent output formats, a specialist tone or lower per-request cost at high volume.

Data preparation, evaluation and guardrails

Cleaning, structuring and permissioning data often takes 15 to 30 percent of an AI MVP budget. Another 10 to 15 percent goes to evaluation sets, accuracy testing and guardrails that stop the model from giving unsafe or off-topic answers. Teams that skip this ship a demo, not an MVP.

Monthly usage costs

Model usage is billed per token or per request, so it grows with adoption. At MVP stage, expect roughly $200 to $5,000 a month depending on volume and model choice. Caching, smaller models for simple tasks and good prompt design keep it in check. Our AI development services team builds these controls into the MVP rather than retrofitting them.

How AI-assisted coding affects the bill

AI coding tools speed up scaffolding, standard CRUD screens, tests and documentation. A sensible planning assumption is a 10 to 20 percent reduction in development-phase effort. Architecture, security, integrations and edge cases still need experienced engineers, and every AI-generated change still needs human code review before it ships.

Three Worked MVP Budgets

These examples show how real scopes add up. Each uses a dedicated team with a US-facing product lead.

Example A: B2B SaaS MVP, about $85,000 over 4 months

Web app with three user roles, subscription billing through Stripe, a reporting dashboard, an admin panel and two integrations.

Example B: AI document assistant MVP, about $120,000 over 4 to 5 months

RAG-based assistant that answers questions from a company’s policy and contract documents, with permission-aware search, source citations, an evaluation set and a web interface. Running costs after launch: roughly $800 to $3,000 a month for model usage and hosting.

Example C: Cross-platform mobile MVP, about $95,000 over 4 to 5 months

Booking app built in Flutter for iOS and Android, with user accounts, maps, in-app payments, push notifications and a web admin panel.

Phase	A: SaaS ($85K)	B: AI assistant ($120K)	C: Mobile ($95K)
Discovery and scoping	10% / $8,500	12% / $14,400	9% / $8,550
UI/UX design	12% / $10,200	10% / $12,000	14% / $13,300
Development	46% / $39,100	44% / $52,800	45% / $42,750
QA and testing (incl. AI evaluation)	16% / $13,600	20% / $24,000	17% / $16,150
Deployment	4% / $3,400	4% / $4,800	4% / $3,800
Project management	12% / $10,200	10% / $12,000	11% / $10,450

Example B spends more on discovery and testing because data mapping and AI evaluation carry most of the risk. Example C spends more on design because mobile flows have less room for error.

Hidden and Recurring MVP Development Costs

The build quote rarely includes everything. Budget for these from the start:

• App store accounts. The Apple Developer Program costs $99 a year, and Google Play charges a one-time $25 registration fee.
• Hosting and infrastructure. Typically $100 to $1,500 a month at MVP scale.
• Third-party services. Payments, email, SMS, maps and analytics, billed per transaction or per user.
• AI model usage. Grows with every active user, as covered above.
• Security and legal. A penetration test, privacy policy and terms of service before you collect real user data.
• Maintenance. 15 to 20 percent of the build cost per year for fixes, updates and OS changes.

After the MVP: What Scaling to Version 1 Costs

The MVP is the start of the spend, not the end. Once users validate the idea, the next 6 to 12 months typically cost 1.5 to 3 times the original MVP budget. That money goes to features users asked for, performance and security hardening, analytics and a growing team.

The biggest variable is whether the MVP can be extended or must be rebuilt. An MVP built on a clean architecture with tests can grow; one built as a throwaway often needs a partial rebuild within a year. Decide which you are building on day one, because “temporary” code has a habit of becoming permanent. For larger programs, our enterprise software development cost guide covers what scaling budgets look like.

How to Reduce MVP Development Costs Without Cutting Corners

• Cut features, not quality. Ship one workflow that works well rather than five that half work.
• Launch on one platform. Add the second once usage justifies it.
• Buy what is not your product. Use proven services for authentication, payments, email and analytics.
• Prototype before you build. A few weeks of user testing on clickable screens prevents expensive rebuilds.
• Start AI on an API with RAG. Move to fine-tuning or self-hosting only when data proves the need.
• Use AI-assisted coding with human review. Take the speed gains on routine work, never skip the review.
• Choose the team model deliberately. A dedicated offshore team with strong product ownership is often the largest single saving.
• Fix scope in writing. A written scope with a change process stops budget creep.

How to Choose an MVP Development Partner

Ask	A strong answer
How did you arrive at this estimate?	Effort by feature and phase, with assumptions and exclusions
What would you cut from our scope?	Specific suggestions, not agreement with everything
Can we see a similar product you built?	A live product or case study with comparable scope
How do you review AI-generated code?	Mandatory human review and automated tests
Who owns the code and accounts?	You do, from day one, in writing
What happens after launch?	A maintenance plan and a path to version 1

Why Founders and Product Teams Work with Xicom

Xicom has delivered software for more than 20 years, across 1,800+ projects for 750+ clients in over 50 countries, with 350+ professionals working from New Delhi and a presence in San Francisco. AI products we have built include Parity AI, an AI financial planning platform, and the IELTS Speaking Evaluator.

Delivery runs under ISO 9001, ISO/IEC 27001, ISO/IEC 42001 and SOC 2 Type II controls, and dedicated teams can reduce cost by up to 65 percent compared with in-house hiring. That keeps MVP development cost predictable while leaving room in the budget for version 1.

Conclusion

A well-planned MVP is not the cheapest version of your product. It is the smallest version that produces evidence you can trust. For most funded teams, that means a budget of $40,000 to $150,000 and three to six months of focused work, with clear limits on scope and a plan for what comes next.

The decisions that matter most are made before development starts: which problem to test, which platform to launch on, how much AI the first release really needs and who will build it. Get those right, keep part of the budget for maintenance and version 1, and the MVP becomes the foundation of the product rather than a prototype you have to replace.

Note: How we estimated these figures: cost ranges in this guide are planning estimates based on typical market rates and project scopes for professional delivery teams, including discovery, design, QA and project management. Actual costs depend on your scope, team model and region. Facts drawn from published sources are linked where they appear.

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