In 2026, a traditional agency MVP typically costs $15,000–$150,000+ and takes 2–5 months. AI-assisted development teams usually deliver the same scope for 30–60% less, in 2–6 weeks. The biggest cost drivers are scope, integrations, and design polish, not the tech stack.
What does an MVP cost by product type?
Ranges below are typical market figures for a competent, tested build (not a throwaway prototype):
| MVP type | Traditional agency | AI-assisted team | Timeline |
|---|---|---|---|
| Landing page + waitlist | $3k–$10k | $1k–$4k | 3–7 days |
| Single-feature SaaS | $15k–$40k | $6k–$18k | 2–4 weeks |
| Multi-role SaaS / dashboard | $40k–$100k | $15k–$45k | 4–6 weeks |
| Marketplace / booking platform | $60k–$150k+ | $25k–$70k | 5–8 weeks |
| AI-powered tool or agent | $30k–$120k | $12k–$50k | 3–6 weeks |
Every project is different. Treat these as calibration, not a quote. (At Dev4ager we scope first, then give a fixed price, so the number you sign is the number you pay.)
What actually drives MVP cost?
- Scope. The number of screens, roles, and workflows is the single biggest factor. An MVP with 4 screens and one user type is a different animal from one with 12 screens and admin/customer/vendor roles.
- Integrations. Payments, calendars, CRMs, messaging, AI APIs. Each external system adds real engineering and testing time.
- Design depth. Using a clean design system is fast. Fully custom, animation-heavy UI is beautiful and expensive.
- Auth & billing complexity. "Login with email" is cheap. Teams, permissions, seats, metered billing, and tax handling are not.
- The rewrite tax. The most expensive MVP is the one you build twice. Unreviewed AI output or the cheapest freelancer often costs more by month six.
How does AI-assisted development change the math?
AI coding tools like Claude Code and Cursor cut the build phase, often the largest line item, dramatically. Scaffolding, CRUD flows, dashboards, and integrations that took a week now take a day. What AI doesn't cut: scoping, design decisions, code review, testing, and deployment. Those are exactly the parts that make software dependable, which is why they stay human. (More on this in what is vibe coding? and our workflow breakdown.)
Net effect: the same scope lands at 30–60% lower cost and roughly 3–4× faster than a traditional build,if the team has real engineering discipline around the AI.
How can you lower the cost without killing the product?
- Cut features, not quality. Ship one workflow that works end to end, not five that half-work.
- Use proven building blocks. Supabase for auth and data, Stripe for billing, a design system for UI.
- Defer the mobile app. A responsive web app or PWA validates the same demand for a fraction of the cost.
- Buy the second version later. Launch, learn from real users, then invest where the data points.
- Consider hourly help for tiny scopes. If it's a fix or a feature, hourly developers beat a project quote.
What do you need to get an accurate quote?
Three things: the core workflow ("a coach sells sessions, clients book and pay"), the user types, and your must-have integrations. With that, a good team can give you a fixed scope and price within a day or two, no 40-page RFP required.
Want a fixed quote on your MVP?
Tell us what you're building. We'll break it into scope and give you a fixed price and timeline, usually within 48 hours.
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