GitHub Copilot provides a broader range of entry points, starting at $10 per month for the Pro tier, compared to Amazon Q Developer's single Pro Tier at $19 per month. For organizations requiring high-volume credit allotments, GitHub Copilot offers the Max tier at $100 per month, which includes a $100 monthly flex allotment.
Financial performance for these tools is measured by the time saved relative to the seat cost. While the $10 Copilot Pro tier requires as little as 6 minutes of saved time per month to break even for a $100/hour employee, higher tiers like Copilot Max require a full hour of efficiency gains at that same salary level.
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 |
| GitHub Copilot — Pro |
$10 |
0.2 h |
0.1 h |
0.1 h |
| Amazon Q Developer — Pro Tier |
$19 |
0.4 h |
0.3 h |
0.2 h |
| GitHub Copilot — Pro+ |
$39 |
0.8 h |
0.5 h |
0.4 h |
| GitHub Copilot — Max |
$100 |
2.0 h |
1.3 h |
1.0 h |
Break-even hours = seat price ÷ loaded hourly cost. Each seat pays for itself once it saves that much verified time per month.
How do the subscription structures differ?
GitHub Copilot tiers are structured around increasing monthly flex allotments, ranging from $5 in the Pro plan to $100 in the Max plan. Amazon Q Developer uses a different billing model for its Pro Tier, where the first month is pro-rated and activation is triggered by specific user activities.
What are the break-even requirements for these tools?
To justify the spend, procurement leads should look at the loaded hourly cost of their engineering team. At a $50/hour rate, Amazon Q Developer requires 0.4 hours of monthly savings to cover its $19 cost. GitHub Copilot Pro+ ($39) requires 0.8 hours at that same rate, while the Max tier ($100) requires saving 2.0 hours per month to avoid a net loss on the subscription.
Verifying the return on AI investment requires a shift from tracking seat utilization to measuring net value. By using NetLift to compare saved hours against the specific pricing of GitHub or Amazon tiers, finance leaders can identify if the 20-30% of licenses that often go unused are impacting the overall return on adoption.
Sources
All pricing on this page comes from official vendor pages: