Per-minute vs. per-character vs. concurrency: how voice AI pricing actually works
Blog post from Deepgram
Voice AI pricing is complex due to the use of different billing models that measure various cost drivers, such as audio minutes for speech runtime, text characters for generated text, concurrent sessions for simultaneous live sessions, and committed volume for prepaid usage. Each model—per-minute, per-character, concurrency-based, and committed-volume pricing—has unique advantages and disadvantages depending on the traffic pattern, and hidden costs can often arise from orchestration markups, unbundled add-ons, rounding rules, and overage surcharges. Understanding these pricing models is essential for accurately comparing vendors, as the differences in units can signal architectural differences and significantly affect the total cost. To avoid surprises, it is crucial to convert all costs into an all-in cost per conversation minute using one's traffic profile and evaluate pricing pages with a checklist that considers base rates, add-ons, overages, and scalability commitments.
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