Cartesia vs Deepgram
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Cartesia if you want low-latency voice ai models and a platform for real-time voice agents (Assistant, freemium); choose Deepgram if you want voice ai infrastructure: speech-to-text, text-to-speech, and a voice agent api (Assistant, usage).
| Cartesia | Deepgram | |
|---|---|---|
| What it is | Low-latency voice AI models and a platform for real-time voice agents | Voice AI infrastructure: speech-to-text, text-to-speech, and a voice agent API |
| Type | platform | platform |
| Autonomy | Assistant | Assistant |
| Pricing | freemium · Free (20K credits/mo); Pro $5/mo | usage · $0.0048/min (Nova-3 streaming STT) |
| Best for | developers, enterprise | developers, enterprise |
| Deployment | saas, api, self-hosted, on-prem | saas, api, self-hosted, on-prem |
| Modalities | text, voice, api, code | voice, text, api, code |
| Models | proprietary | proprietary |
| Protocols | rest-api, function-calling | rest-api, function-calling |
| Integrations | LiveKit, Twilio, Pipecat, Vapi | Twilio, LiveKit, Vapi, Amazon SageMaker |
| Capabilities | 4 documented | 4 documented |
Cartesia
- +Genuinely differentiated state-space-model tech with best-in-class latency and on-device efficiency
- +Full stack (TTS, STT, cloning, and the Line agent platform) plus deep ecosystem integrations and self-hosted/VPC options
- +Strong technical credibility and capital, including NVIDIA backing
- -Younger and less battle-tested than ElevenLabs and Deepgram; the Line agent platform is barely a year old
- -Closed, proprietary models (no open weights for production Sonic/Ink), creating lock-in
Deepgram
- +Mature, competitive STT (Nova) with low per-minute pricing and strong streaming
- +Rare true self-hosted, on-prem, and air-gapped options for regulated and government use
- +A single Voice Agent API collapses the STT-LLM-TTS stack
- -Infrastructure, not a finished product: you build the agent and UX yourself
- -The Voice Agent API is materially pricier, and connection-time billing can surprise
Which should you choose?
Cartesia is low-latency voice ai models and a platform for real-time voice agents, best for developers, enterprise. Deepgram is voice ai infrastructure: speech-to-text, text-to-speech, and a voice agent api, best for developers, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Cartesia and Deepgram profiles. Open either profile to review its evidence and last-reviewed date.