How many tokens does building an internal tool take with AI?
A internal tool / admin app typically takes about 5,260,000 tokens to build with an AI coding agent (roughly 2,110,000–11,580,000 depending on complexity), about $15.10 at today's GPT-4o prices ($6.10–$33.30). This is the build-time (developer) cost, not the cost of running the finished feature.
An internal tool is a small but real application — several screens, CRUD, auth and a couple of integrations. Built with an agent it runs into millions of tokens across many sessions, so it's worth estimating before you start.
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) | 2,000,000 | 110,000 | 2,110,000 | $6.10 |
| Typical | 5,000,000 | 260,000 | 5,260,000 | $15.10 |
| High (complex) | 11,000,000 | 580,000 | 11,580,000 | $33.30 |
Typical cost by model
The same typical token estimate priced across a few common coding models.
| Model | Typical cost | Range (low–high) |
|---|---|---|
| GPT-4o | $15.10 | $6.10 – $33.30 |
| GPT-4o mini | $0.9060 | $0.3660 – $2.00 |
| Claude Sonnet 4.6 | $18.90 | $7.65 – $41.70 |
| Gemini 2.0 Flash | $0.6040 | $0.2440 – $1.33 |
How we estimate this
An internal tool is a small app — a few screens, CRUD, auth and some integrations — built over many sessions with iteration. 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
- An admin dashboard over an existing DB
- An internal approvals workflow
- A data-entry tool with role-based access
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 internal tool / admin app take to build with AI?+
A internal tool / admin app typically takes about 5,260,000 tokens to build with an AI coding agent (roughly 2,110,000–11,580,000 depending on complexity), about $15.10 at today's GPT-4o prices ($6.10–$33.30). 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?+
An internal tool is a small app — a few screens, CRUD, auth and some integrations — built over many sessions with iteration. 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.