Vapi vs Cartesia
Detailed side-by-side comparison to help you choose the right tool
Vapi
🔴DeveloperVoice AI
Vapi is the developer platform for voice AI agents — build, deploy, and scale phone agents with usage-based pricing and bring-your-own model keys.
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$0.05/minute + provider costsCartesia
🔴DeveloperVoice AI
Real-time generative voice and on-device speech models built on state-space architectures — Sonic TTS at ~40ms first-token latency, Ink-Whisper STT, voice cloning, and an Edge SDK for offline voice on devices.
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Vapi - Pros & Cons
Pros
- ✓Transparent usage pricing — $0.05/min plus BYO model keys is easy to forecast
- ✓Sub-700ms turn-taking feels conversational, not robotic
- ✓Provider-agnostic stack lets you pick best-of-breed STT, LLM, and TTS
- ✓Developer surface is solid: SDKs, webhooks, custom function calls
- ✓HIPAA and PCI options unlock healthcare and fintech use cases
Cons
- ✗Not a no-code product; non-developers will need engineering support
- ✗HIPAA at $2k/mo and ZDR at $1k/mo add up quickly for small teams
- ✗10 concurrent lines is fine for most pilots but extra lines at $10/mo scale fast
- ✗Model costs pass through, so a chatty agent on GPT-4 can be expensive
- ✗Documentation around advanced routing and warm transfers is still maturing
Cartesia - Pros & Cons
Pros
- ✓Sonic TTS posts ~40ms first-token latency — among the lowest in production TTS
- ✓Edge SDK runs Sonic and Ink-Whisper on-device for offline voice without per-minute cloud cost
- ✓Voice cloning from short clips is fast enough to deploy a branded assistant in an afternoon
Cons
- ✗No first-party MCP server — tool calling must land at the LLM brain or orchestrator
- ✗Per-minute usage charges on top of plan credits make total cost harder to forecast
- ✗Smaller community than transformer-based TTS providers so fewer copy-paste tutorials
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