Per-seat AI tool subscriptions versus usage-based API.
Per-seat AI pricing is great at full adoption and wasteful when half the seats are dormant. Compare against a usage-based build before committing. Model the build on the AI agent cost calculator and cost per active user calculator.
This calculator compares two ways of paying for an AI tool: a seat-license model and a usage-based API model. On the seat side, it multiplies your total Seats by the $ per seat / month to get a flat monthly bill that stays the same whether or not people use the tool. On the usage side, it applies your Active seats % to find how many people actually work with the tool, then multiplies that count by the API cost per active user to estimate variable monthly spend. Comparing the two totals shows which pricing model is cheaper for your team, with seat count, per-seat price, activation rate, and per-user API cost as the main drivers.
The key trade-off is utilization. When most seats are active, a flat per-seat license is often cheaper and more predictable; when only a fraction of licensed users are active, paying per active user through the API usually wins. Watch the Active seats % closely, because seat licenses charge for idle accounts while API costs scale with real usage and can climb sharply if activity or per-user demand grows beyond your estimate.
Per-seat tools (like coding assistants at ~$19/seat) are predictable and cheap when every seat is used heavily. Usage-based APIs win when adoption is patchy, because you only pay for the users and tokens actually consumed instead of dormant seats.
Compare seat cost to what the same work would cost usage-based: seats times price versus active users times their real API spend. If a big share of seats are idle, you are paying a flat fee for people who barely use the tool.