Margin Analysis
(Pricing Data As Of December 2025)
A
Cost
Select provider/model and confirm token pricing.
B
Volume
Converts per-request assumptions into monthly totals.
C
Pricing
Defines revenue model and target gross margin.
D
Outputs
Gross margin computed from inferred monthly inference cost and the selected revenue model.
Usage Increase
MAU Held Constant
Output Increase
Stress Test
Monthly Inference Cost (Selected)
$0.00
Today: $0.00
Revenue (Selected)
$20,000
Price × MAU
GM (Selected)
100.0%
Stress Case Applied
Usage Scenarios
Scenario
Requests/User
MAU
Revenue
Cost
GM
Today
50
1,000
$20,000
$0.00
100.0%
2× Usage
100
1,000
$20,000
$0.00
100.0%
5× Usage
250
1,000
$20,000
$0.00
100.0%
10× Usage
500
1,000
$20,000
$0.00
100.0%
UNSAFE: Revenue Is Effectively Zero At Scale.
Set A Non-Zero Price To Compute GM And A Target-Closing Recommendation.
E
Break-even analysis
Derived threshold where unit economics break, based on current pricing and costs.
Break-Even: — At Current Pricing. Break-Even Usage Per User/Month (GM = 0%) At Current Per-Seat Pricing.
Margin Sensitivity
Gross Margin vs Usage (1× to 10×)
Baseline GM
Stress GM (+50% Output)
1) Pricing data as of December 2025. Cached input tokens were excluded due to inconsistent reporting.
2) This dataset reflects public list prices only, enterprise and volume discounts are not included.