How many tokens does building a marketing website take with AI?
A marketing website typically takes about 1,290,000 tokens to build with an AI coding agent (roughly 540,000–2,900,000 depending on complexity), about $3.90 at today's GPT-4o prices ($1.65–$8.75). This is the build-time (developer) cost, not the cost of running the finished feature.
A marketing website is several pages sharing components, styling and content — more generation than logic. It sits above a single landing page but below a real application, and it's a common 'how much would this cost me' question.
Token & cost ranges
Cost uses GPT-4o at current prices. Verified 29 July 2026.
| Scenario | Input tokens | Output tokens | Total tokens | Est. cost |
|---|---|---|---|---|
| Low (simple) | 500,000 | 40,000 | 540,000 | $1.65 |
| Typical | 1,200,000 | 90,000 | 1,290,000 | $3.90 |
| High (complex) | 2,700,000 | 200,000 | 2,900,000 | $8.75 |
Typical cost by model
The same typical token estimate priced across a few common coding models.
| Model | Typical cost | Range (low–high) |
|---|---|---|
| GPT-4o | $3.90 | $1.65 – $8.75 |
| GPT-4o mini | $0.2340 | $0.0990 – $0.5250 |
| Claude Sonnet 4.6 | $4.95 | $2.10 – $11.10 |
| Gemini 2.0 Flash | $0.1560 | $0.0660 – $0.3500 |
How we estimate this
A marketing site is several generated pages with shared components, styling and content — output-heavy with iteration on design and copy. 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 5-8 page product site
- Landing + blog + pricing + docs shell
- A rebranded static site from a template
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 marketing website take to build with AI?+
A marketing website typically takes about 1,290,000 tokens to build with an AI coding agent (roughly 540,000–2,900,000 depending on complexity), about $3.90 at today's GPT-4o prices ($1.65–$8.75). 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 marketing site is several generated pages with shared components, styling and content — output-heavy with iteration on design and copy. 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.