A chat feature at tens of millions of DAU
At consumer scale, the self-host cliff arrives early.
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Inference Cost Forecaster
Context
A consumer app ships an AI chat feature to tens of millions of daily users. Volume is enormous and compounding, most traffic runs on a cheap model, and the team can keep GPUs busy.
The decision
At this scale the crossover to self-host arrives within the first year — pay-per-token can't compete once utilization is high and volume compounds.
What most miss
The API bill looks fine in the pilot and becomes a scary line item by month nine. The cliff is a function of growth × utilization, not today's invoice.
Stakes
Staying on usage-based pricing past the cliff at consumer scale is a seven-figure annual overspend.
Studied · Business of AI · verified 2026-07-03
Sources: Consumer-scale inference cost patterns (high-volume chat); Self-host crossover analysis