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.