Direct answer
Forecast demand first; compare plans second
A useful AI coding budget starts with developers × workdays × sessions, then prices the expected input and output tokens. Subscription prices can sit beside that estimate, but a seat price alone does not reveal task limits, model access, throttling, or whether the workload is included.
Forecast a monthly coding workload
Describe a typical month and paste usage-based API rates for the model mix you want to budget. All calculations stay in this browser.
API-equivalent monthly cost
$135
A usage-based API estimate, not a subscription bill or entitlement forecast.
Projected sessions
600
6 per developer per workday
Input tokens
30,000,000
50,000 per session
Output tokens
3,000,000
5,000 per session
API-equivalent cost per developer
$27.00
Projected monthly cost divided by the developer count.
API-equivalent cost per session
$0.225
One session at the entered token volumes and rates.
Compare two custom subscription budgets
Enter prices from plans you are evaluating. The comparison shows only when their seat cost equals this API worksheet; it does not claim either plan covers the projected workload.
Team subscription budget
$100
$20.00 × 5 developers
- Break-even API sessions
- ≈444.4
- Budget difference
- $35.00
At this worksheet's API-equivalent cost per session.
Plan budget is below the API-equivalent estimate.
Team subscription budget
$200
$40.00 × 5 developers
- Break-even API sessions
- ≈888.9
- Budget difference
- $65.00
At this worksheet's API-equivalent cost per session.
Plan budget is above the API-equivalent estimate.
Planning method
How to forecast an AI coding budget
Treat the result as a living forecast. Its value comes from explicit assumptions and repeated calibration, not from false precision.
01
Define a repeatable session
Choose a unit your team can recognize—such as one focused agent task—and estimate its input and output tokens from representative history.
02
Scale activity, not provider limits
Multiply developers, workdays, and sessions per day. Keep this demand forecast separate from any product's request, task, or rolling-window allowance.
03
Paste current API rates
Use the provider and model rates relevant to your workload. A blended rate is acceptable when its derivation is recorded alongside the budget.
04
Compare with actual invoices
After the month closes, replace assumptions with measured token totals and billed spend. The gap tells you which input needs calibration next.
Transparent example
Worked planning scenario
The starting worksheet uses illustrative assumptions—not observed averages and not a provider plan: 5 developers, 20 workdays, 6 sessions per day, 50,000 input and 5,000 output tokens per session, at $3/M input and $15/M output.
Sessions
600
5 × 20 × 6
Token demand
33M
30M input + 3M output
API equivalent
$135
$90 input + $45 output
Unit economics
$27/dev
$0.225 per session
Use the estimate well
Budget questions this can answer
- What if the team grows? Increase developers while keeping the per-developer workflow visible.
- Which assumption matters most? Change one input at a time and watch its effect on cost per session and month.
- What is a plan price being compared with? The tool reports the exact API-equivalent workload and break-even calculation beside it.
- Is the forecast improving? Save monthly assumptions externally and reconcile them against measured usage and invoices.
Keep separate
Questions only providers can answer
- How many tasks or requests remain in the current account window.
- Whether a specific model, background task, or premium feature consumes allowance differently.
- How capacity, fair-use controls, or service availability will affect a future session.
- Whether unused allowance rolls over, pools across seats, or changes when a plan is upgraded.
Definitions and limits
Frequently asked questions
Does the calculator know Claude, Codex, or Cursor plan limits?
No. It deliberately does not hardcode plan quotas. Providers may meter tasks, requests, models, time windows, or capacity differently, and those rules can vary by account. The signed-in product usage view and current terms are authoritative.
What counts as a coding session?
You define it. A session can mean one agent task, one issue, or one focused work block, as long as the team applies the definition consistently. It is a forecasting unit, not a claim about a provider's billing unit.
Why compare a subscription with API-equivalent cost?
It provides a common budget reference when evaluating custom scenarios. The comparison does not value product features and does not prove that a subscription includes the projected workload.
Can local token history predict when a plan will throttle?
No. Local logs can inform workload volume, but they do not expose account entitlement, server-side routing, fair-use enforcement, or remaining allowance. Use the provider's native usage indicator for those questions.
Should cached input be included?
The shared estimator intentionally uses ordinary input and output for a legible first forecast. If cache reads, cache writes, or multiple model tiers materially affect the workload, model those buckets in the LLM cost calculator and bring its blended result back here.
Sources
- LiteLLM model pricing dataset
Public model pricing reference used for API-equivalent estimates; provider billing remains authoritative.
- Data collection and privacy methodology
Explains what the CLI aggregates, what it does not collect, and the limits of the public cohort.