Glossary

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Glossary / Evaluation and implementation guide

Inference Cost

Inference cost is what you pay each time a model runs: the per-call compute charge, usually billed by tokens processed.

It is the metric that turns agent activity into a unit cost, because a single task may trigger several calls. At outreach volume, these small charges compound into a significant line item.

A practical example

Example: an enrichment agent makes four calls per lead—summarize, draft, score, check—so a campaign touching 10,000 leads means 40,000 billable calls, and the per-call rate directly sets the cost per lead.

What to evaluate before investing

  • Ask vendors to state the billing unit (tokens, calls, or seats) and whether input and output tokens are priced differently.
  • Request an estimate of calls per task for the workflows you plan to run, not just a headline rate.
  • Check whether you can cap spend, set alerts, or route cheap tasks to smaller models.

Limitations and tradeoffs

Advertised per-token rates look tiny but hide the real figure: multiply by calls per task and your actual volume to see true cost.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.