A 100-seat deployment of Cursor Teams costs $4,000 per month. This totals $48,000 per year, based on the Standard plan price of $40 per seat.
For Finance and IT leaders, the investment reaches break-even when the average developer saves approximately 30 minutes of work per month. At a $75/h loaded staff cost, the entire 100-person department needs to recover 53 hours of capacity monthly to achieve a neutral return on investment.
What Cursor Teams costs for 100 people
| Plan |
Price / seat / month |
100 seats / month |
100 seats / year |
Break-even hours / month (at $75/h) |
| Cursor — Standard |
$40 |
$4,000 |
$48,000 |
53 h |
Break-even hours = total monthly cost ÷ $75/h loaded staff cost (NetLift default assumption — adjust to your own rate).
Break-even value per seat
| Plan |
Price / seat / month |
Hours to break even at $50/h |
Hours to break even at $75/h |
Hours to break even at $100/h |
| Cursor — Standard |
$40 |
0.8 h |
0.5 h |
0.4 h |
Break-even hours = seat price ÷ loaded hourly cost. Each seat pays for itself once it saves that much verified time per month.
Is the seat cost justified by time saved?
The primary metric for Cursor adoption is the break-even point relative to labor costs. At a loaded staff cost of $75/h, a single seat pays for itself once it saves 0.5 hours of verified time per month. For teams with a higher loaded cost of $100/h, the break-even threshold drops to 0.4 hours per month.
What is the total annual commitment?
Procurement and department owners should budget for a fixed annual cost of $48,000 for 100 developers. This per-seat model allows for predictable forecasting compared to tools that rely on fluctuating credit pools, ensuring that the monthly cost remains a steady $4,000.
Measuring the return on engineering AI
Calculating the net return on Cursor requires moving beyond usage metrics to verified time saved against your development baseline. NetLift helps teams track whether these 100 seats are recovering the 53 hours needed each month to justify the $4,000 spend. By focusing on evidence-based value, you can distinguish between software sprawl and genuine productivity gains.
Sources
All pricing on this page comes from official vendor pages: