PyAI vs Deepgram
Deepgram is excellent STT. PyAI gives you free telephony-native transcription and the full agent stack after it.
The pricing wedge
PyAI
Hear is the wedge; Omni and Trace are the monetization path.
Deepgram
Public pricing and market estimates as of June 2026; verify before relying on procurement numbers.
Best fit
Developers who want cheap transcription plus a clean path into phone agents.
Deepgram has deep STT credibility and a mature developer footprint.
Why switch to PyAI
- Cheaper published STT on-ramp
- OpenAI-compatible transcription
- Grounded turn-taking inside Omni
- Omni when you want audio in, audio out
Where voice AI spend leaks
Costs buyers often miss
- Platform fees or seats that must be paid before usage creates value
- Pass-through STT, realtime model, TTS, telephony, and orchestration bills that are hard to forecast
- Credit or character pricing that hides the cost of long calls and long-form audio
- Manual QA, compliance review, and call summaries that only happen after the expensive mistake
How PyAI helps you prove the switch
PyAI keeps testing cheap and migration practical: free credits, OpenAI-compatible surfaces where supported, transparent minute pricing, and production add-ons for QA, compliance, summaries, and grounding.
Replacement plan: Deepgram to PyAI
- 1
Model your current all-in cost per minute, including every provider and platform fee.
- 2
Move one call path to PyAI with the migration guide or OpenAI-compatible base URL swap.
- 3
Replay real calls and compare latency, completion rate, transcript quality, and spend.
- 4
Route production traffic gradually, then add Trace, Recap, or managed Agents where the workflow needs review.
FAQ
When should I choose PyAI over Deepgram?
Developers who want cheap transcription plus a clean path into phone agents.
How does PyAI pricing compare with Deepgram?
PyAI pricing: 10,000 Hear minutes free every month, then $0.003/min; async $0.0015/min.. Deepgram pricing: Public STT rates commonly range around $0.0048-$0.0078/min for current streaming models.. Public comparison data should be verified before procurement decisions.
Where do businesses usually waste money in voice AI?
Waste usually comes from platform fees, per-seat packaging, pass-through model bills, credit or character math, and manual QA work that does not scale to every call.
How do I test a replacement without a risky rewrite?
Start with one call path, use a PyAI test key and free credits, replay real calls, and compare quality, latency, completion rate, and all-in cost before routing production traffic.
One voice stack. One bill. Built for phone agents.
Start with $50 in free credit and 10,000 free Hear minutes every month. No card.
No credit card - OpenAI-compatible - cancel anytime