An AI mobile app in 2026 lands in one of three cost brackets. A 2-week MVP with one AI feature wired in: $8,000 to $25,000 at a senior agency. A 6-12 week production app with multiple AI surfaces, App Store submission, and proper QA: $40,000 to $150,000. An ongoing AI mobile product with a small in-house team: $25,000 to $60,000 per month all-in once you count salaries, infra, model spend, and tooling. The honest version: the price you pay tracks less with feature count and more with how much you can compress through a senior team running modern AI-assisted workflows. This is the buyer's view from the agency side.
What this article is for
If you're a funded-startup founder, a product lead at a scale-up, or a CTO scoping an AI mobile build, you've already seen the spread of quotes. $5,000 from a freelancer on Upwork. $300,000 from a tier-one consultancy. Both for "the same scope." This walks through what's actually behind those numbers, where the spread comes from, and the cost ranges I see at CasaInnov in real client conversations.
I'll be specific about the agency prices because vagueness on this stuff doesn't help buyers. The freelance and in-house numbers are based on what clients tell me they're seeing in their other quotes plus my own hiring conversations.
The 2-week AI MVP bracket: $8K to $25K
This is the most common entry point for funded founders. One core AI feature, auth, payments, store submission, analytics. A versioned binary real users can open. Not a Figma file, not a TestFlight demo.
The price floor is around $8,000 (where we sit at CasaInnov with our Vibe Coding 2-week service, $8,999 fixed). The ceiling is roughly $25,000 at agencies that do similar scope with more designer hours, more handover documentation, or a heavier brand process built in.
What drives the price inside this band:
- AI feature complexity. A chat-shaped agent over a single endpoint is at the floor. A multi-step research agent with tool-use, citations, and structured rendering is at the ceiling. The model layer isn't the cost, the orchestration around it is.
- Design depth. Founder brings a Figma file: floor. Founder needs design from scratch: add $3K to $7K.
- Regulatory wrapper. Standard consumer app: floor. KYC, age-gate, GDPR-strict PII handling: add $4K to $10K for the work inside the same 2-week window or push the timeline.
- Stack readiness. Agency uses a pre-wired boilerplate: floor. Agency starts from a blank
create-expo-app: add a week and the cost grows.
At CasaInnov we ship every 2-week MVP on top of AI Mobile Launcher, our React Native boilerplate. The auth, payments, push, theming, and AI-coding-agent guardrails are pre-wired. The reason we can hold the price at $8,999 isn't that we work faster than other senior teams. It's that the boilerplate eats the week of plumbing that other quotes have to bill for.
The 6-12 week production app bracket: $40K to $150K
Once you're past the MVP, the cost shape changes. You're shipping a real product, not a demo of a feature. Multiple screens, multiple AI surfaces, real QA, performance work, App Store and Google Play submission with proper provisioning, analytics that match your funnel.
The floor is around $40,000. That's a 6-week build, two senior engineers, one designer, light QA, agency overhead. The ceiling pushes $150,000 when the scope grows to 10+ AI features, deep integrations with existing backend systems, accessibility compliance for regulated verticals, and 12+ weeks of senior time.
A useful breakdown for the middle of this band, roughly $80,000 for a 10-week build:
- Senior engineering: $50,000 (two engineers at ~$5K/week each over 10 weeks, blended hours)
- Design: $12,000 (one designer, 6 weeks engaged, not full-time)
- QA + device testing: $6,000 (last 3 weeks, real device matrix)
- Project management + delivery: $7,000 (one PM at partial allocation)
- Buffer + agency margin: $5,000
I've seen exact line-by-line breakdowns from other agencies in this range and the math is similar. The honest variable is how much each agency pads the buffer and the margin. Reputable agencies sit at 10-15% margin on the all-in price. Tier-one consultancies sit at 40-60% and you pay for the brand. Both can be the right call depending on whether you need a brand-name vendor for an enterprise stakeholder or whether you just need the app shipped.
For context: I ran the engineering on the DocMorris React Native app (9M users, regulated German digital health, NFC reads of electronic health insurance cards). That stack was a 9-month build with a full team, not a 12-week scope. Regulated verticals at scale break the 12-week ceiling. I mention it because clients sometimes ask "can you do health regulated in 12 weeks." The answer is no, and any quote that says yes is either misjudging the work or planning to surface the cost later as scope changes.
The in-house AI mobile team bracket: $25K to $60K per month
If you're hiring instead of contracting, the math changes again. A small in-house AI mobile team usually looks like:
- 1 senior React Native engineer with AI integration experience: $14,000 to $22,000 per month all-in (Berlin / EU senior rates, fully-loaded including taxes and benefits). US rates are 30-50% higher.
- 1 mobile-comfortable designer: $7,000 to $11,000 per month all-in
- AI model spend (inference): $500 to $5,000 per month at MVP scale, grows linearly with usage
- Infra (Sentry, EAS, analytics, RevenueCat, vector DB if applicable): $300 to $1,500 per month
- Tooling (Cursor or Claude Code Pro seats, design tools, Figma, Linear): $200 to $600 per month per person
Floor: ~$25K per month for one engineer plus light infra. Ceiling: ~$60K per month for two engineers, one designer, full tooling, growing model spend.
The trade-off vs an agency: the in-house team compounds. By month 6, they know your codebase, your product, your users. The same team running for 12 months at $40K average per month is $480K, which buys you a product, not just a feature. Agencies don't compound the same way. We hand off and move to the next client.
The buyer logic I see most often: founders use an agency for the first 2-6 months to get to product-market fit signal, then hire the in-house team off the back of that traction. The agency build is the prototype. The in-house team is the product.
What freelancers cost (and where they break)
Freelance rates for React Native + AI work in 2026:
- EU / Berlin senior independent: $100 to $150 per hour
- US senior independent: $150 to $250 per hour
- Eastern Europe / Latin America senior: $50 to $100 per hour
- Global junior to mid-level: $30 to $80 per hour, wide quality spread
The freelance route works for scoped, well-specified work where the founder or an internal CTO can hold the architectural line. It breaks when nobody on the founder side can evaluate the AI architecture decisions, the model selection, or the streaming patterns.
The failure mode I see most often: founder hires a $60/hour mid-level freelancer for an AI feature. The freelancer ships something working. Three months later, the feature falls over at scale because the streaming layer was hand-rolled, the prompts have no versioning, the cost-per-call wasn't measured, and there's no test on the AI output shape. Founder hires an agency to fix it. The fix costs 3x what the original build would have at the agency.
This isn't an argument against freelancers. It's an argument against using freelancers without an experienced AI mobile reviewer in the loop. If your CTO or technical co-founder is senior on AI mobile, freelance can be very cost-effective. If they're not, the agency premium is buying you the reviewer.
What you actually pay for at the higher end
When you see a $300,000 quote for what looks like a $50,000 scope, here's what's in the delta:
- Brand name on the invoice. Some enterprise buyers need a Big Four or tier-one consultancy name for procurement reasons. That's a real cost, paid in cash.
- Account management overhead. Multiple PMs, weekly steering committees, change-request paperwork. Required at large orgs, optional at startups.
- Process compliance. SOC 2 audit packages, security reviews, formal architecture docs. Required for regulated verticals, optional for consumer.
- Bench depth. Tier-one consultancies guarantee staffing replacements if someone leaves. Smaller agencies cannot.
- Liability and contracts. Bigger insurance, bigger legal, bigger SOW. Real money.
None of those are wrong to pay for. They're wrong to pay for if you don't need them. Most funded startups don't.
What we charge at CasaInnov
Specific because vagueness doesn't help buyers:
- Vibe Coding 2-week AI MVP: $8,999 fixed. One core AI feature, auth, payments, store submission. Boilerplate-accelerated. Three slots per month.
- Custom AI mobile build (6-12 weeks): $100 per hour or fixed-scope sprints from $3,499 per scoped block. Most projects land in the $40K to $90K total range.
- Ongoing engagement post-launch: $100 per hour or fixed monthly sprints. Most clients hold 40-80 hours per month for the first 3 months after launch.
The pricing reflects a small senior team based in Berlin running modern AI-assisted workflows on top of pre-wired stacks. We're not the cheapest. We're not the most expensive. We're priced for funded-startup founders who want senior judgment without enterprise overhead.
Where the cost math gets non-obvious
Three places the price surprises buyers:
Model spend at scale. A consumer app with 100,000 monthly active users running 10 AI calls per user per day at ~$0.002 per call is roughly $60,000 per month in model spend. Most early founders don't model this until usage hits product-market fit. By then it's a real budget line. Hybrid routing (local for high-frequency short calls, cloud for heavy reasoning) is what controls this. See our on-device LLM mobile apps article for the cost-shaping pattern.
App Store review and store-listing work. Founders forget this until week 11. Provisioning, app icons, privacy manifest, screenshots, store copy, ATT prompts, EU DSA disclosures. Real work, typically 20-40 hours at the end of a build. Agencies that bake it in don't surface it. Agencies that don't will add it as a change order. Ask explicitly during scoping.
Iteration after launch. The first 3 months post-launch are when the AI feature stops being a demo and starts being a product. Prompt tuning based on real user data. Latency optimization once you see real network conditions. Edge-case handling that only surfaces at scale. Plan for 40-80 hours per month in this window. Founders who don't plan for it ship a 2-week MVP, get traction, and then stall because the team isn't sized for the iteration loop.
Where to start as a buyer
If you're scoping an AI mobile project in 2026:
- Write the AI feature spec before the screens. The cost differs by 5x depending on whether the AI feature is a chat-shaped agent or a multi-step orchestration. Vague specs get padded quotes.
- Decide on your timeline-vs-scope priority. 2-week MVP buys you a feature done well. 12-week production buys you a product. Both are valid. Mixing them creates scope creep.
- Get three quotes. Floor (freelancer or boutique), middle (senior agency like ours), ceiling (tier-one consultancy). The middle is usually the right answer for funded startups, but the floor and ceiling tell you why.
- Ask each vendor what stack they ship on. Pre-wired boilerplate-accelerated agencies are 30-50% faster than greenfield-every-time agencies at the same quality.
- Look at AI Mobile Launcher if your team is technical enough to evaluate the stack. The free Lite tier is on GitHub. The boilerplate is what CasaInnov ships from.
- Book a scoping call from casainnov.com/contact when you have a feature spec ready. We turn around fixed-scope quotes within 48 hours.
FAQ
How much does it cost to build an AI mobile app in 2026?
The honest range is $8,000 to $150,000 depending on scope. A 2-week MVP with one AI feature, auth, payments, and store submission costs $8,000 to $25,000 at a senior agency. A 6-12 week production app with multiple AI surfaces and proper QA costs $40,000 to $150,000. An in-house team running ongoing costs $25,000 to $60,000 per month. At CasaInnov, the Vibe Coding 2-week MVP is $8,999 fixed.
Why do AI mobile app quotes vary so much?
Three reasons. First, scope clarity: vague specs get padded quotes. Second, stack readiness: agencies with pre-wired AI mobile boilerplates ship faster at the same quality, which lets them price lower. Third, brand and overhead: tier-one consultancies charge 3-5x boutique agency rates for the same engineering work because of account management, compliance overhead, and brand premium. None of those are wrong to pay for if you specifically need them.
Is it cheaper to hire a freelancer or an agency for an AI mobile app?
Freelancers are cheaper on an hourly basis ($50 to $150 per hour vs agency blended rates that work out closer to $200 per hour all-in). They become more expensive when no one on the founder side can evaluate AI architecture decisions and the work has to be redone. If your CTO is senior on AI mobile, freelance is cost-effective. If not, the agency premium is buying you architectural judgment, not just engineering hours.
What does a 2-week AI mobile MVP actually include?
At CasaInnov, the $8,999 Vibe Coding scope includes: one core AI feature wired to a real model, auth flow, payments (RevenueCat or Stripe), App Store and Google Play submission, analytics, on-device QA on real iPhones and Androids, and a working binary your users can open. It does not include unlimited revisions, multiple AI features, complex regulatory wrappers, or design from scratch (we work from a Figma direction you provide).
What about ongoing AI mobile app maintenance costs?
Most production apps need 40-80 hours per month of engineering time in the first 3 months post-launch. That's $4,000 to $8,000 per month at our rate, or roughly $14,000 to $22,000 per month if you hire a senior in-house React Native engineer in Berlin. The cost compounds with usage: model spend at 100,000 monthly active users with moderate AI usage runs $40,000 to $80,000 per month in inference cost alone, before engineering.
How do I avoid getting overcharged for an AI mobile app?
Three checks. First, get a written scope before the quote. Vague RFPs get vague quotes that grow during the build. Second, ask which stack the agency ships on. Pre-wired boilerplate-accelerated agencies are structurally faster. Third, ask for references from clients with similar scope. The right agency at the right price will have receipts. The wrong one won't.