Reserved vs on-demand: which fits my AI usage pattern?
Costs that look tiny per request add up fast at scale, so teams with predictable base load need to compare reserved capacity against on-demand for your usage pattern early. This tool extrapolates your current usage to the volume you are planning for, so budget surprises don't happen.
Start here: Self-Hosted vs API Break-Even Calculator
Results update automatically as you type.
- API cost / request
- $0.000645
- GPU host / month
- $1,500.00
- Break-even volume
- 2,325,581 req/mo
Then: Monthly AI Bill Forecaster
Results update automatically as you type.
- Starting monthly spend
- $1,000.00
- Monthly growth
- 15.0%
- Spend in month 12
- $4,652.39
- Cumulative spend
- $29,001.67
| Month 1 | $1,000.00 | $1,000.00 |
| Month 3 | $1,322.50 | $3,472.50 |
| Month 6 | $2,011.36 | $8,753.74 |
| Month 12 | $4,652.39 | $29,001.67 |
Why this isn't trivial
The part people underestimate: reserved capacity is cheaper per unit but wasted if idle, so it fits steady base load, not spiky traffic. In practice the biggest savings come from reserving for the predictable base and using on-demand for peaks, so it is worth modelling before you commit.
How it's calculated
We estimate this by comparing reserved commitment cost against on-demand pricing at your utilization. Every figure uses the current provider prices baked into the site (reviewed daily), and you can override any input to match your own assumptions.
Frequently asked questions
When is reserved worth it?+
For steady, predictable load you'll actually use; idle reserved capacity wastes money.
Can I mix them?+
Yes — reserve the base and burst on-demand, which usually minimizes total cost.
Are these prices up to date?+
Yes. The model prices behind this calculator are refreshed and reviewed daily, so your estimate reflects current provider rates rather than a stale snapshot.
Related
Estimates for planning. Pricing data last reviewed 28 July 2026.