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Estimate what Score could saveon your workload.

Two calculators, both fed by the measured figures on the Results page. Each one shows its assumptions, where it applies, and the point at which the answer stops being us. The result is an estimate; the benchmark on your real workload is the number.

What the same workload would cost on Score, against what you run today.

  1. 1Your workload
  2. 2What you run today
  3. 3Your result

What does the workload look like?

Start from a scenario that resembles yours, then adjust. Volume is monthly, in tokens processed.

Average context length
Capacity, not tokens

Why the bill stops tracking usage.

Most AI services charge per token, so the bill grows with every request. Score is licensed against the servers you deploy, so you pay for capacity and then use it as much as you like. Usage growing does not automatically become spending growing.

How the two models behave

Per-token billing follows your usage. Capacity does not.

Usage growing
per-tokenowned capacityUsagecost

Illustrative estimate only, not a quote.

Every constant in these models is on the Results page, with its source, basis and date.

Get a real number for your workload.

The calculator is a model. A benchmark against your actual models and concurrency is a number, and that's what we'd rather give you.