Token, credit or flat-fee billing: what is the real impact on usage?

In short.

AI services are billed in three ways: per token (the unit of text consumed by the model), per credit (in-house units repackaged by the provider) or as a flat fee (a fixed price per scope). This choice is not a contractual detail, it is a driver of adoption: the meter instils rationing behaviour, people hesitate, they do not iterate; the flat fee frees up usage. Yet the value of a document AI comes precisely from volume and iteration.

The three models, without caricature

Per token: you pay for the model’s raw consumption; transparent in appearance, unpredictable in practice, because serious document processing multiplies invisible calls (analysis, extraction, cross-checks). A team processing a large file can use up the month’s budget in a week. Per credit: the provider repackages tokens into in-house units, often with hard-to-read conversion rules; the meter remains, with an extra layer of opacity. Flat fee: a price per scope, independent of the volume processed; the finance department records a line, not a curve.

The behavioural effect, the blind spot of comparisons

Faced with a meter, every employee becomes a micro management controller: rerunning an analysis costs money, reprocessing a file costs money. Usage settles at the minimum, the tool is under-used, and the project, judged on its adoption, fails despite having technically worked. Three questions to ask any provider, with written answers required: does my annual cost depend on my volume? What happens in the month we process three times as many files? Who bears the capping mechanisms, finance or the users?

The Optivalue.ai approach

Optivalue.ai is subscribed on a flat-fee basis, with no per-token or per-credit billing: the cost is predictable and usage is not rationed, which aligns the platform’s interest with its actual adoption.
‍

Isn’t pay-per-use fairer?
In theory; in practice it produces either under-use or unmanaged budget drift.

‍How do you compare two offers with different models?
Simulate a realistic year, peaks included, and require the total cost in writing for both scenarios.