Vistrow Voice
Pricing guide

What AI voice bot pricing really includes.

A per-minute number can hide a lot. Real pricing depends on the full pipeline: phone transport, speech recognition, the LLM, voice generation, storage, integrations, and retries.

01

The cost stack

Every live call uses several paid systems at once. You should understand which are included and which are passed through.

  • Telephony or web RTC minutes
  • Speech-to-text
  • LLM reasoning
  • Text-to-speech
  • Recording/transcript storage
02

Cheap can become expensive

A low model bill does not help if the agent repeats itself, misses intent, or fails to push leads to CRM.

  • Measure successful outcomes, not only minutes
  • Watch retry and re-call volume
  • Check whether support and integrations are included
03

What to ask vendors

Ask questions that expose hidden costs and operational gaps.

  • Are recordings included?
  • Are failed CRM pushes retried?
  • Are web-widget calls priced differently?
  • Can I cap spend per agent or workspace?
04

How Vistrow thinks about pricing

Vistrow Voice uses credit-based plans so operators can see usage and scale call volume without learning every underlying model price.

  • Plan-level visibility
  • Call-level credit breakdown
  • Separate voice/model tiers where needed
Decision rule

Buy the workflow, not just the model.

A production voice agent needs transport, listening, thinking, speaking, interruption recovery, recordings, transcripts, compliance controls, analytics, and CRM delivery. If one piece is slow or missing, the caller feels it.

FAQ

Questions, answered.

The things people ask us most. If yours isn’t here, talk to us — a person replies.

Ask us directly

It depends on monthly minutes, phone vs web calls, voice quality, model choice, recording storage, and integrations. Compare the full workflow cost, not only one API price.

Because live calls consume streaming speech recognition, language-model reasoning, voice synthesis, transport, and storage while the conversation is happening.

Yes, for structured qualification flows a smaller fast model can work well. You still need to test accuracy, hallucination controls, and latency on real calls.

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