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Benchmarking Real-Time Voice AI APIs: Cartesia vs Deepgram vs ElevenLabs (2026)

A developer benchmarked real-time voice AI APIs from Cartesia, Deepgram, ElevenLabs, PlayHT, and OpenAI, measuring median latency and pricing across 1,000 WebSocket requests. Cartesia's Sonic-3 achieved the fastest time-to-first-byte at 85ms, while Deepgram's Aura-2 offered the lowest bulk cost at $15 per 1M characters. The results highlight trade-offs between speed, cost, and voice realism for conversational agents.

read1 min views3 publishedSep 3, 2026

When building conversational agents or real-time voice applications, latency is the defining metric. If Time-to-First-Byte (TTFB) exceeds 200ms, natural turn-taking breaks down and conversational interruption becomes clunky.

We recently recorded and aggregated median latency and pricing metrics across the primary streaming Text-to-Speech APIs using WebSocket connections (US-East endpoints, median across 1,000 requests).

Provider Model TTFB Latency Pricing / 1M Chars Real-Time Suitability
Cartesia
Sonic-3 85ms $20.00 Excellent (Fastest turn-taking)
Deepgram
Aura-2 115ms $15.00 Very Good (Lowest bulk cost)
ElevenLabs
Flash v2.5 135ms $25.00 Best Voice Realism
PlayHT
PlayDialog 180ms $25.00 Good
OpenAI

TTS-1 | 240ms | $15.00 | Slower (Chunked HTTP) | The full benchmark dataset, methodology, and continuous updates are documented at VoiceAIBench.

Raw data and contributions are also maintained on GitHub: awesome-voice-ai-latency.

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