Voice AI Pricing Explained (and How to Cut Costs)
2 min read · Bolcho
Voice AI pricing confuses people because a 'minute' isn't one cost — it's the sum of several. Speech-to-text, the LLM, text-to-speech and telephony each meter separately, and most platforms add a per-minute markup on top, billed in dollars. This guide breaks a minute down, shows why Indian teams overpay on USD platforms, and explains how to estimate and cut your bill.
What actually drives voice AI cost
A minute of conversation bills across four provider components, plus a platform fee. The big two are usually the LLM (how much it reads and generates each turn) and TTS (how many characters it speaks).
The cost components
- Speech-to-text (STT): per minute of audio transcribed.
- LLM: per token read (prompt + knowledge) and generated, every turn.
- Text-to-speech (TTS): per character synthesised.
- Telephony: per minute of the actual phone call.
- Platform fee: what many providers add per minute on top of the above.
Why Indian teams overpay on USD platforms
Global platforms bill in USD and add a per-minute platform fee — commonly $0.05–$0.13 — on top of provider costs. Converted to rupees and summed, a minute often lands around ₹8–14. A platform that meters near raw provider cost in ₹, with no per-minute markup, lands far lower.
The markup is the difference
The underlying providers are similar for everyone. The gap is the per-minute platform fee plus forex — which is exactly what near-cost ₹ billing removes.
How to estimate your monthly bill
A quick back-of-envelope: multiply your expected call minutes per month by the all-in per-minute rate. 10,000 minutes at ₹2.40 is ~₹24,000; the same at ₹11 is ~₹1,10,000 — same conversations, very different bill.
- 1
Estimate minutes
Calls per month × average call length in minutes.
- 2
Pick a per-minute rate
Use the platform's all-in rate (provider + platform fee), converted to ₹.
- 3
Multiply
Minutes × rate = your monthly voice spend. Add a buffer for retries.
- 4
Model growth
Re-run at 3× and 10× volume — the per-minute markup is what compounds.
How to cut your voice AI bill
The biggest levers, whichever platform you use:
- Cache repeated phrases (greetings, disclaimers, confirmations) instead of re-synthesising them — Bolcho does this automatically.
- Route to the cheapest capable model per task instead of one premium model for everything.
- Keep prompts tight and use retrieval so the LLM reads fewer tokens each turn.
- Use good endpointing so you're not paying for dead air at the end of turns.
- Bill in ₹ near provider cost to remove the platform markup entirely.
Build it on Bolcho
Everything in this guide ships out of the box. Spin up an agent in minutes, free.
Frequently asked questions
How much does voice AI cost per minute?
It depends on the platform. USD platforms add a per-minute fee (often $0.05–$0.13) on top of STT/LLM/TTS/telephony, landing around ₹8–14/min all-in once converted. Bolcho bills in ₹ near raw provider cost, typically ₹1.80–3.00/min.
Why is voice AI billed per minute?
Because the underlying costs (transcription, LLM tokens, synthesis, telephony) all scale with call length. Some platforms bundle this into a per-minute rate plus a markup.
What's the cheapest way to run voice AI in India?
Bill in rupees near provider cost with no per-minute markup, cache repeated audio, route models per task, and keep prompts tight. That combination is what Bolcho is built around.
Are there hidden costs?
Watch for platform fees on top of provider costs, forex on USD billing, and separate telephony charges. Near-cost ₹ billing with telephony included avoids most surprises.