How much does it cost to build an app with AI?
Last reviewed May 28, 2026 · SoftwareEstimator.com
Building an app with AI coding agents in 2026 typically costs between $20 and $5,000 in model tokens for the build itself — versus $15,000–$180,000 for a traditional dev shop. A landing page runs roughly $2–$110 in tokens; a small CRUD app $40–$2,000; a full SaaS MVP about $130–$4,000 on Claude Opus 4.8. The single biggest variable is not the model price but how the agent is run: an optimized build with a test-backed verify loop can cost 10–30× less than a "runaway" session that re-reads its own logs. Because of that variance, any honest estimate is a range, never one number.
Why the range is so wide
Agentic token spend has more than 10× run-to-run variance, and is near-unpredictable before a build — academic work puts the pre-build correlation at r<0.15. The same scope can land anywhere in the band depending on operator skill, test coverage, and session hygiene.
Two documented builds bracket the reality. Cloudflare’s "vinext" rebuilt 94% of the Next.js API surface for about $1,100 in tokens, because a comprehensive public test suite gave the agent an automated verify loop. At the other end, one developer burned $30,983 in a single month by running continuous sessions that streamed verbose logs back into context.
Token cost by project type (Claude Opus 4.8)
Expected-band build cost in model tokens, with the traditional dev-shop contrast:
- → Landing page — ~$2–$110 in tokens vs $3k–12k agency
- → Small CRUD app — ~$40–$2,000 vs $15k–50k agency
- → SaaS MVP — ~$130–$4,000 vs $60k–180k agency
- → Mobile app (Expo) — ~$300–$9,000 vs $80k–220k agency
- → Framework-scale — ~$1,500–$40,000 vs $250k–650k agency
What actually drives the cost
Output code is a tiny fraction of the bill — cache reads account for over 97% of agentic token volume. You are mostly paying for the agent to re-read the codebase, tool definitions, and its own context on every turn.
Connected MCP servers add roughly 18,000 tokens of overhead per turn, each. And Claude Opus 4.7 and later use a tokenizer that consumes up to ~35% more tokens for the same text — so the same scope genuinely costs more tokens on the latest models, not just more dollars.
Frequently asked questions
Is it cheaper to build an app with AI than to hire developers?
On raw build cost, almost always — a SaaS MVP that costs $60k–180k at an agency can cost a few thousand dollars in AI tokens. The trade-off is that AI builds need an operator who can steer the agent and verify the output; the token cost is low, but it is not zero-effort.
How many tokens does it take to build a SaaS MVP?
Roughly 50M (optimized) to 500M (runaway) tokens, with about 150M expected, before the model tokenizer multiplier. On Claude Opus 4.8 that works out to around $130–$4,000.
Why can’t you just give one price?
Because agentic token spend has 10×+ run-to-run variance and is near-unpredictable before a build. A single number would be false precision; a Low/Expected/High range is the honest answer.
Does the choice of AI model change the cost much?
Yes. Claude Opus 4.8 is $5/$25 per million input/output tokens; Sonnet 4.6 is $3/$15; Gemini 2.5 Flash is $0.30/$2.50. Cheaper models cut the bill but often need more retries on complex work, which adds tokens back.
Related guides
Figures are industry-composite estimates for planning, not quotes — agentic token spend has 10×+ run-to-run variance. See the full methodology or run an estimate .