Token burn rate dashboard
Knowing how many tokens you used yesterday is interesting; knowing what that implies for your monthly bill and your cost per user is what actually drives decisions. This dashboard turns a daily token count into a forward forecast and a unit-economics figure, so you can see whether your AI feature is sustainable before the invoice arrives.
How it works
You enter your average daily prompt and completion tokens. The dashboard prices each at the selected model’s per-million-token rate — output tokens usually cost several times more than input — to compute a daily burn. It then projects that across a 7-day week and a 30-day month. Finally, dividing projected monthly spend by your active user count yields an average cost per user, the number that tells you whether your pricing covers your inference.
Tips and notes
- Pull real numbers. Most providers expose daily token usage in their dashboard — use those rather than guessing, then sanity-check the forecast.
- Watch the output ratio. If completion tokens dominate your burn, shorter responses or a cheaper model for generation can cut the bill faster than trimming prompts.
- Cost per user is an average. Segment power users separately if a small cohort drives most of the spend — they may need a higher tier.
- Prices are editable estimates. Confirm current per-million-token rates in your provider dashboard before committing a budget.