AI prices by build type
| AI build | Typical cost | Build time | What it is |
|---|---|---|---|
| AI wrapper MVP | $15,000 – $35,000 | 1–3 months | A focused app on a public AI API (chat, writing, images) |
| App + AI features | $50,000 – $120,000 | 4–7 months | A normal product with AI inside: support chat, recommendations, recognition |
| AI-first product | $120,000 – $200,000+ | 6–12 months | Custom pipelines, fine-tuning, your data as the moat |
AI features, priced individually
| AI feature | Build cost | Running cost driver |
|---|---|---|
| Support / chat assistant | $8,000 – $25,000 | Per-conversation tokens |
| Recommendations | $15,000 – $40,000 | Data pipelines, retraining |
| Image recognition | $20,000 – $50,000 | Per-image API or GPU time |
| Document / voice AI | $15,000 – $45,000 | Per-minute / per-page pricing |
| Custom fine-tuned model | $40,000 – $100,000+ | Training data and evaluation |
The second bill: per-use costs
Normal apps cost roughly the same to serve the 100th and the 100,000th user. AI apps charge you per question, image or minute. Published product examples put early AI running costs anywhere from $2 to $340/month at small scale — and the line grows linearly with usage. Model your per-user AI cost before pricing your subscriptions, or growth itself becomes the loss-maker.
Build on an API or train your own?
| Public AI API | Custom / fine-tuned | |
|---|---|---|
| Build cost | Lower ($8K–$40K per feature) | Higher ($40K–$100K+) |
| Time to launch | Weeks | Months |
| Running cost | Per use, forever | Infrastructure, more predictable |
| Defensibility | Low — anyone can call the same API | Higher — your data is the asset |
| Right for | MVPs and standard features | Domain-specific quality needs |
The calculator's AI feature line ($20,000–$60,000) reflects a serious integrated feature, not a wrapper — choose the utility/content base for wrapper pricing.
Sources: Clutch app development cost data (2026), GoodFirms research (2026), Accelerance global pricing report, US Bureau of Labor Statistics — checked November 2026.
The three AI cost mistakes
Pricing subscriptions before modelling per-use cost. An AI feature that costs $0.40 per active user per day turns a $10/month plan into a loss at scale — model it first. Building custom training into the MVP. Fine-tuning before you have users trains on guesses; ship on APIs, collect real usage, then decide what deserves a custom model. Ignoring evaluation. AI features need ongoing quality testing as models and data drift — budget it as maintenance, roughly 5–10% on top of normal upkeep, or quality quietly rots while the app still "works".
Frequently asked questions
How much does it cost to build an AI app?
An AI wrapper MVP costs $15,000–$35,000, a full app with integrated AI features $50,000–$120,000, and an AI-first product with custom models $120,000–$200,000+. On top sit per-use API costs that scale with your users.
How much does it cost to add a chatbot to an app?
A support or chat assistant built on a public AI API costs $8,000–$25,000 to integrate properly — knowledge base, guardrails, fallbacks and analytics included. The API usage itself is billed per conversation.
Why do AI apps cost more to run?
Every AI interaction consumes paid compute — tokens, images or minutes — unlike normal app features that cost almost nothing per use. At scale, per-use cost is the business model question, not a technical detail.
Is it cheaper to use ChatGPT's API than to train a model?
To start, almost always: API integration is weeks and five figures; custom training is months and high five to six figures. Custom models earn their cost only when your data or quality bar is the product's advantage.
How much do AI APIs cost per month?
Small products report $2–$340/month in early stages. A chat-heavy app with 10,000 active users can pass $1,000/month — model the cost per user before setting prices.