Need Estimated Cost Breakdown Per Minute for Futur...
# support
a
We’re trying to understand the expected cost per minute for our existing setup and configuration, specifically for estimating future calls. This is not about past usage or logs — we need a way to predict/estimate costs in advance based on our current setup. We’re looking for a full per-minute cost breakdown, including: Vapi base cost LLM cost (based on model/token usage) STT (speech-to-text) cost TTS (text-to-speech) cost Is there any way to get this kind of cost estimation per minute in the Vapi dashboard or via API? Also, is there a way to estimate: Token usage per minute for the configured model Cost contribution of each component (LLM, STT, TTS) for a typical call
v
Currently, the Vapi dashboard does not provide a built-in tool for estimating future per-minute costs by component. Most costs are direct pass-throughs from your chosen providers (STT, LLM, TTS), plus a small Vapi fee. For detailed, up-to-date pricing and to estimate costs for your setup, please review the [Vapi pricing page](https://docs.vapi.ai/pricing) or contact support for a tailored breakdown. Tip: You can analyze historical costs in Boards using formulas like:
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Average Cost Per Minute = {{totalCost}} / ({{totalMinutes}} / 60)
—but this is for past data, not future projections. Sources: - [FAQ](https://docs.vapi.ai/faq) - [Boards quickstart](https://docs.vapi.ai/observability/boards-quickstart)
s
Hi
There's currently no built-in predictive cost estimator in Vapi - cost tracking is based on actual usage after calls complete. That said, here's how to estimate costs for your setup: Component pricing Vapi passes through provider costs at-cost, so your per-minute estimate depends on your specific stack: Vapi base fee — $0.05/min STT - depends on your provider (e.g. Deepgram Nova 2 is ~$0.0059/min) LLM - depends on model and token usage (e.g. GPT-4o is ~$2.50/1M input tokens) TTS - depends on provider (e.g. ElevenLabs is ~$0.30/1K characters)
Best way to estimate your specific setup Run a few test calls and check the costs breakdown in the call object - it shows exact spend per component. Use that as your baseline and extrapolate by call volume and duration.