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. Values are sourced from the COST_ROWS dataset, which is refreshed monthly from public provider list pricing pages. Cached input tokens were excluded due to inconsistent reporting.
3) This dataset reflects public list prices only, enterprise and volume discounts are not included.