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Scrum & story points

How many tokens does a 1-point story take to build with AI?

Quick answer

A 1-point user story typically takes about 160,000 tokens to build with an AI coding agent (roughly 64,000–374,000 depending on complexity), about $0.4750 at today's GPT-4o prices ($0.1900–$1.12). This is the build-time (developer) cost, not the cost of running the finished feature.

A 1-point story is the smallest unit most teams estimate: a change one developer finishes quickly, with little unknown. For an AI coding agent that usually means a handful of turns on one or two files, so the token spend — and cost — is small but non-zero because the agent re-reads context each turn.

Token & cost ranges

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

ScenarioInput tokensOutput tokensTotal tokensEst. cost
Low (simple)60,0004,00064,000$0.1900
Typical150,00010,000160,000$0.4750
High (complex)350,00024,000374,000$1.12

Typical cost by model

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

ModelTypical costRange (low–high)
GPT-4o$0.4750$0.1900$1.12
GPT-4o mini$0.0285$0.0114$0.0669
Claude Sonnet 4.6$0.6000$0.2400$1.41
Gemini 2.0 Flash$0.0190$0.00760$0.0446

How we estimate this

A 1-point story is a tiny, well-understood change — a couple of agent turns touching one or two files. 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

  • Add a field to an existing form and validate it
  • Copy or config change with a small test
  • Fix a well-isolated, reproducible bug

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 1-point user story take to build with AI?+

A 1-point user story typically takes about 160,000 tokens to build with an AI coding agent (roughly 64,000–374,000 depending on complexity), about $0.4750 at today's GPT-4o prices ($0.1900–$1.12). 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 1-point story is a tiny, well-understood change — a couple of agent turns touching one or two files. 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.