Cursor Teams and Windsurf (Devin) share an identical entry-level price point of $40 per seat per month for their team tiers. For procurement and finance teams, this means the decision rests on developer preference and specific workflow integration rather than a budget variance.
Both platforms provide individual tiers at $20 per month, but the team-specific plans are designed for collaborative environments. The financial threshold for a positive return on investment is exceptionally low across both products, requiring less than one hour of monthly time savings per developer to reach break-even.
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 — Teams |
$40 |
0.8 h |
0.5 h |
0.4 h |
| Devin — Teams |
$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.
Which subscription should teams buy?
Organizations must choose between Cursor’s straightforward Pro and Teams tiers or Windsurf’s broader range of options, which include a $200 Max plan and a $40 Teams seat. While the base cost for a team seat is the same, Windsurf offers additional tiers that may be necessary for high-utilization users or specific CLI and desktop environments.
How do these costs impact the engineering budget?
At $40 per seat, these tools represent a small fraction of the total loaded cost of an engineer. The primary financial risk is not the subscription price, but the potential for "the credit pool catch" where teams exceed baseline limits. Management should focus on whether the $40 investment consistently reduces the time spent on routine tasks or fixing broken AI-built code.
Measuring the value of AI adoption requires moving beyond anecdotal developer satisfaction to hard data. By comparing the seat cost against verified time saved on specific pull requests or tickets, NetLift allows finance leaders to see the net return of these tools. This data-driven approach ensures that a $40 monthly spend is actually delivering the 0.4 to 0.8 hours of efficiency gains required to break even.
Sources
All pricing on this page comes from official vendor pages: