Deepgram vs Groq (hosted Whisper)

Groq (hosted Whisper) holds a clear price advantage at $0.00185/audio-min versus Deepgram's $0.0043/audio-min for batch work. However, Deepgram wins on two critical product-building capabilities: it offers a WebSocket streaming API while Groq (hosted Whisper) does not, and it ships official SDKs in six languages (JS/TS, Python,.NET, Go, Java, Rust) versus two for Groq (hosted Whisper). Both support word-level timestampsword-level timestamps - The API reports exactly when each word is spoken in the audio, for subtitles and highlighting., but Deepgram also handles 100+ audio formats versus a handful for Groq. For developers building full-featured transcription products, the streaming API and broader SDK coverage outweigh the per-minute savings.

The available information covers speech-recognition API capabilities, pricing, and compliance, but none of it addresses the attributes that actually decide a dictation use case: which desktop or mobile platforms a dictation app runs on, whether audio is processed locally or sent to the cloud, AI-powered formatting or editing features, one-time versus subscription app pricing, or integrations with word processors and other apps. Neither tool's information speaks to these questions, so there is no basis to favor one over the other for personal voice-typing on a computer.

For clinical transcription under US healthcare privacy law, having a HIPAA BAAHIPAA BAA - A signed Business Associate Agreement that lets you handle protected health information under US healthcare privacy law. is the absolute requirement before any other consideration matters. Deepgram publishes a HIPAA BAA, while Groq (hosted Whisper) has no verified HIPAA BAA, which alone is disqualifying for most healthcare buyers. Beyond that gate, Deepgram also offers PII redaction as a paid add-on at $0.002/audio-min, while Groq (hosted Whisper) offers no PII redaction at all. Both tools support custom vocabulary boosting, both hold SOC 2 Type II certification, and self-hosting is available on both sides, so those attributes are level. Deepgram sweeps the two most critical clinical requirements, making the choice straightforward.

Both Deepgram and Groq (hosted Whisper) offer a self-hostself-host - Run the software on your own servers instead of the vendor’s cloud. or on-premises option. Beyond that single shared fact, neither tool has published information on model weights license, hardware requirements, project maintenance status, or model size for the self-hosted deployment scenario. Those attributes are central to any decision about running a model on your own hardware, and without that data for either tool, no meaningful differentiation is possible. Confirming self-host availability alone cannot tip the scales when license terms, hardware specs, and project health all remain unpublished.

For voice agents, real-time streaming capability is the deciding factor. Deepgram offers WebSocket streaming with a claimed 300 ms latency, while Groq (hosted Whisper) has no WebSocket streaming API at all, making it unsuitable for live voice bot use. Deepgram also supports up to 150 concurrent WebSocket connections on its base pay-as-you-go plan, providing the concurrencyconcurrency - How many phone calls the platform can handle at the same time. voice agents need at scale. Both tools support custom vocabulary boosting. Deepgram's streaming rate of $0.0048/audio-min is the only option in play since Groq simply lacks streaming.