DOriginal technical demonstration / Synthetic data

Cheaper inference can mean more expensive useful work.

A reproducible arithmetic example showing why cost must include accepted quality, reviewer effort, and infrastructure. These inputs are invented for illustration; no model was benchmarked and no client outcome is represented.

Tensor State Group · 12 October 2026

Context and question

Two hypothetical configurations each process 1,000 requests. B halves inference spend, but fewer outputs meet the same hypothetical acceptance threshold and more review is needed. Costs use one arbitrary currency unit consistently.

Inputs and computed results

ConfigurationAccepted / requestsInference / review / infrastructureTotalCost / accepted task
A800 / 100040 / 80 / 201400.1750
B600 / 100020 / 120 / 201600.2667

Reproduce it

Download the complete JavaScript example. Run it with Node; it requires no packages or API keys.

node inference-cost.mjs

The calculation is (inference + review + infrastructure) / accepted tasks. A yields 140 / 800 = 0.1750; B yields 160 / 600 ≈ 0.2667. B is cheaper per inference request and more expensive per accepted task.

Limits and production state

This is a teaching artifact, not a production system, experiment, pricing quote, or evidence that a particular model behaves this way. It omits implementation costs, taxes, retry attribution, and quality variation within accepted tasks. A real study needs measured costs, a predefined quality rubric, workload traces, and repeated trials. The example validates the arithmetic and the importance of the denominator.

Use the method on your workload

Inference optimization and infrastructure · Production architecture analysis · Discuss a measured optimization study