Deepgram vs whisper.cpp
No leader: the top candidate whisper.cpp has only 0.24 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for speech to text. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Deepgram
A platform providing real-time speech-to-text, text-to-speech, and voice agent APIs with native support for understanding turn-taking, interruptions, and multi-speaker scenarios. Supports 45+ languages with features like speaker identification, smart formatting, and keyword recognition for enterprise and developer use cases.
whisper.cpp
An open-source library that provides speech-to-text transcription capabilities, ported from OpenAI's Whisper model. It supports various hardware accelerators and runs on multiple platforms with a command-line interface.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Deepgram
From $0.0048/min for speech-to-text, $0.015/1k characters for text-to-speech. Free tier with $200 credit.
- Pay As You GoFree
- Speech-to-text (45+ languages)
- Text-to-speech
- Voice Agent API
- Speaker diarization
- Smart formatting
- +4 more
- EnterpriseContact sales
- Custom trained models
- On-premises or private cloud deployment
- Dedicated support
- HIPAA Business Associate Agreement
- Data Processing Agreement
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Deepgram
- Zapier
- Genesys
- Cisco
- Avaya
- Nuance
- UniMRCP
- Y Combinator
whisper.cpp
Not documented yet.
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.