Best for
Best for developers building low-latency, real-time voice agents.
- Small and mid-sized
- Enterprise
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AI Voice & Speech Comparison
At a glance
Best for
Best for developers building low-latency, real-time voice agents.
Best for
Best for developers putting voice agents on real phone lines for support, lead qualification or scheduling.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Cartesia | Vapi |
|---|---|---|
| Starting price | Free tier; Pro from $5 / month Usage-based credits and agent minutes. Pro adds a commercial-use license and instant voice cloning. | lower value From $0.05 / minute of calls Build plan, usage-based, plus $0.005 per SMS or chat message. Ten concurrent lines are included and further lines cost $10 / month each. Model provider costs for speech-to-text, the LLM and text-to-speech are passed through at cost, or nothing if you bring your own API keys. |
| Free trial | Free tier with 20,000 credits per month | Not stated |
| Commercial use | Paid | Yes, usage-based |
| Output | Low-latency real-time speech, instant clone from around three seconds | Voice agents for inbound and outbound phone calls, web voice, and SMS or chat |
| API | Yes | Yes, REST API, CLI and SDKs |
| Voice cloning | Yes, instant cloning from around three seconds, plus a Pro clone trained on 30 minutes or more of audio | Not part of Vapi itself; voices come from connected providers such as ElevenLabs and Deepgram |
| Real-time use | Yes, real-time text-to-speech (Sonic), built for live voice agents | Yes, live inbound and outbound phone and web conversations at an average latency under 500 ms |
| Languages | Yes, Sonic 3.6 covers 44 languages natively, chosen per request with a language parameter and regional locale variants | Depends on the providers chosen for a given assistant: automatic language detection and code-switching with Deepgram (100+ languages), Google STT (125+) or Gladia (110+), while Azure, OpenAI Whisper, Speechmatics and Talkscriber run one language at a time; on the voice side Vapi's own voices cover 40+ languages, Azure 140+ and ElevenLabs 30+. The languages an assistant may use have to be listed in its system prompt |
| Speech-to-speech and dubbing | Yes, a voice changer, plus localization that converts existing audio across the 44 supported languages while holding the speaker's emotion and identity | Yes, a call runs as spoken conversation by chaining speech-to-text, a language model and text-to-speech, with natural turn-taking |
| Editing and controls | Speed 0.6x to 1.5x, volume 0.5x to 2x, an emotion setting (neutral, calm, angry, content, sad) or model-interpreted emotion, custom pronunciation dictionaries, accent selection for multilingual voices and text normalization | Assistants for a single prompt with tools, Squads for multi-assistant orchestration, tool calls into APIs and databases mid-conversation, plus testing and call observability |
| Consent and trust | The terms of service forbid publishing audio of another person's voice without that person's express permission, and name deceased people and political candidates explicitly | SOC 2, HIPAA and PCI compliance with SSO, OAuth and role-based access control; HIPAA is a $2,000 / month add-on and zero data retention $1,000 / month on both plans |
| MCP-ready | No | stated Yes |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Support | Not stated | Email helpdesk, Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Small and mid-sized, Enterprise | Small and mid-sized, Enterprise |
| Integrations | Not stated | OpenAI, Anthropic, Groq, Deepgram, Gladia, ElevenLabs, Salesforce, HubSpot, Zapier, Slack, Google Workspace |
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The short version
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The trade-offs
Cartesia
Strengths
Limitations
Vapi
Strengths
Limitations
Plans
Cartesia
Vapi
What users say
Cartesia
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Vapi
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Where this comes from
Cartesia https://cartesia.ai · no check date recorded yet
Vapi https://vapi.ai · checked against the official source on 2026-08-30
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.