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Products & projects

How many tokens does building a landing page take with AI?

Quick answer

A landing page typically takes about 408,000 tokens to build with an AI coding agent (roughly 162,000–912,000 depending on complexity), about $1.23 at today's GPT-4o prices ($0.4950–$2.75). This is the build-time (developer) cost, not the cost of running the finished feature.

A landing page is a friendly starting project for AI: much of it is generated from a prompt, with iteration on layout, copy and responsiveness. It's a good reference for non-engineers estimating a first build.

Token & cost ranges

Cost uses GPT-4o at current prices. Verified 29 July 2026.

ScenarioInput tokensOutput tokensTotal tokensEst. cost
Low (simple)150,00012,000162,000$0.4950
Typical380,00028,000408,000$1.23
High (complex)850,00062,000912,000$2.75

Typical cost by model

The same typical token estimate priced across a few common coding models.

ModelTypical costRange (low–high)
GPT-4o$1.23$0.4950$2.75
GPT-4o mini$0.0738$0.0297$0.1647
Claude Sonnet 4.6$1.56$0.6300$3.48
Gemini 2.0 Flash$0.0492$0.0198$0.1098

How we estimate this

A landing page is mostly generation with some iteration on layout, copy and responsiveness — a few agent turns from a blank or template start. Input tokens dominate because an agent re-sends file context on every turn; output is the generated code, diffs and tests. Treat these as planning ranges, not a quote — your real usage depends on codebase size, model, prompt caching and how many iterations it takes.

Examples of this size

  • A marketing hero + features + CTA page
  • A waitlist page with a form
  • A pricing page from a spec

Estimate it with your own model

Plug in your model, complexity and prompt-caching to get a tailored range.

Frequently asked questions

How many tokens does a landing page take to build with AI?+

A landing page typically takes about 408,000 tokens to build with an AI coding agent (roughly 162,000–912,000 depending on complexity), about $1.23 at today's GPT-4o prices ($0.4950–$2.75). This is the build-time (developer) cost, not the cost of running the finished feature.

Is this the cost to build it or to run it?+

This is the build-time (developer) cost — the tokens an AI coding agent burns while implementing the work. Running the finished feature is a separate, usually much smaller per-request cost.

Why is the range so wide?+

A landing page is mostly generation with some iteration on layout, copy and responsiveness — a few agent turns from a blank or template start. Input tokens dominate because an agent re-sends file context on every turn; output is the generated code, diffs and tests. Treat these as planning ranges, not a quote — your real usage depends on codebase size, model, prompt caching and how many iterations it takes.

How can I lower the cost?+

Split large work into smaller pieces, enable prompt caching so re-sent context is billed at the cheaper cache-read rate, and use a cheaper model for routine steps. Try your own model in the Cost to build X estimator.