Cartesia vs Deepgram
A side-by-side comparison of Cartesia and Deepgram, two Voice tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Cartesia
State-space Sonic models hit sub-100ms first audio — the latency floor for real-time voice agent loops.
- Streaming over WebSocket for fast first audio
- State-space architecture, not transformer
- Streaming-first WebSocket protocol depth
- Cost-competitive at scale
- Long-form expressive texture trails ElevenLabs
- Fewer voices than ElevenLabs catalog
- API-only, no end-user app
Deepgram
Tuned for messy real-world audio (accents, phone lines, overlapping speakers) where general transcribers fall apart.
- Strong on accented/telephony audio
- Real-time streaming + batch
- Diarization and language detection
- Low latency
- API-only, no end-user app
- Proprietary Nova models
- English strongest, other langs vary