AI Inference COGS Pro Forma
Tech & Software Excel Template (Free Download)
See how token mix, caching, throughput, capacity reservations and price deflation shape an AI inference platform’s projected gross margin.
professionals from Deloitte
About this pro forma
The full AI inference COGS Excel model builds cost bottom-up from billable tokens to compute tokens, accelerator hours, contracted capacity and dollars. It separates small, mid and frontier tiers, handles cached and free tokens, and keeps training compute in research spend.
The pro forma turns that capacity chain into projected revenue, unit cost, gross profit, working capital, free cash flow and Rule of 40 outputs. Test whether serving-cost deflation outruns price deflation and whether reservations are too short or too long.
What every model includes
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
What's inside the AI Inference COGS Pro Forma
- Billable token demand, mix, cache and free-tier projections
- Tier-specific price, volume, throughput and efficiency outputs
- Reserved, idle and on-demand accelerator-hour projections
- Capacity cost, unit cost and deflation decomposition checks
- Revenue, gross profit and gross-margin outputs
- Operating expense, tax, working capital and free-cash-flow forecast
- Utilisation, productivity and Rule of 40 dashboard outputs
Formatted to IB standards
Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with clear input, output, and cross-sheet reference styling - brand-ready, institutional-grade, and fully auditable.
Created by ex-finance professionals
Hey, I’m Alex and I created Finamodel.
Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.
Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.
I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.
Having a template library on hand cuts a first build from hours to minutes.
Need help finding your model? You’ll find me in the Finamodel app!
Frequently asked
How is inference COGS projected?+
Tokens become compute tokens, accelerator hours, reserved capacity and dollar cost rather than a percentage of revenue.
Why separate model tiers?+
Each tier has different prices, throughputs and growth rates, so blending tokens obscures mix and serving economics.
How are cache hits handled?+
Cached tokens remain billed at the applicable price while consuming lower compute intensity.
Can I test reservation risk?+
Yes. Change reserved coverage and planning growth to see on-demand premiums, idle hours, utilisation and margin.
Have more financial modelling questions? Contact us
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