Sesame AI vs Deepgram
Detailed side-by-side comparison to help you choose the right tool
Sesame AI
🟢No CodeVoice AI
Conversational voice AI from Sesame — personal voice agents Maya and Miles, plus the upcoming intelligent eyewear platform.
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CustomDeepgram
🔴DeveloperVoice AI
Speech-to-text, text-to-speech and voice agent APIs with industry-leading latency, accuracy and per-language model quality.
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Sesame AI - Pros & Cons
Pros
- ✓Voice naturalness is genuinely a step up — most reviewers cannot reliably tell Maya from a person
- ✓Open-source base model under Apache 2.0 makes commercial use uncomplicated
- ✓Persistent memory in the iOS app actually changes how you use a voice agent
- ✓Eyewear roadmap makes Sesame a credible long-term platform bet, not just an app
Cons
- ✗No turnkey business voice-agent platform — no telephony, CRM hooks or call analytics
- ✗Open model is the base CSM; production fine-tuning and serving is on the user
- ✗Eyewear hardware is a roadmap commitment for 2027, not a shipping product today
Deepgram - Pros & Cons
Pros
- ✓Best-in-class word error rate via Nova-3 model across 30+ languages
- ✓Aggressively priced per-minute: from $0.0043/min beats most rivals
- ✓Voice Agent API unifies STT + LLM + TTS with server-side turn-taking
- ✓Free $200 credit lets teams prototype end-to-end without commitment
- ✓On-prem deployment supports HIPAA and air-gapped environments
Cons
- ✗Aura TTS voice library smaller than ElevenLabs or Cartesia
- ✗Documentation can feel dense for first-time integrators
- ✗Some advanced features (diarisation tuning) require sales conversations
- ✗Voice agent API still maturing relative to Vapi or Retell AI for high-level orchestration
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