Cartesia Sonic 3.5
The lowest published time-to-first-audio among flagship APIs.
10 · 2023–
Time-to-first-audio is the number voice agents actually feel. Architectures that decode left-to-right, or that scale linearly, win here.
Playable examples
You cannot hear latency on a file. You can hear the models people chose for streaming: Pocket TTS and Piper on the bench line, CosyVoice 2 as a clone, Aura-2 and Sonic as labelled vendor exhibits.
A streaming TTS system emits audible audio before the full sentence is known. That requires incremental text, a model that does not need the future, and a transport (often WebSocket) that does not wait for a complete MP3.
Cartesia Sonic uses a state-space model so cost scales linearly with length; Sonic 3.5’s published figures sit around 40–82 ms to first audio. Inworld Mini, Deepgram Aura-2, ElevenLabs Flash v2.5, and CosyVoice 2 occupy the same brief. Piper is the offline version of the idea: small enough that ‘streaming’ is just ‘faster than real time on a Pi.’
Quality and latency still trade. ElevenLabs v3 is the expressive model; Flash is the one you put on a phone call. Google is explicit that Gemini 3.1 Flash TTS does not stream. If your product is an agent, that sentence is the whole review.
You cannot hear latency on a file. You can hear the models people chose for streaming: Pocket TTS and Piper on the bench line, CosyVoice 2 as a clone, Aura-2 and Sonic as labelled vendor exhibits.
The lowest published time-to-first-audio among flagship APIs.
The other half of a Deepgram voice stack.
Open voice cloning that actually fits in a laptop CPU budget.
Open streaming clone quality that is actually usable live.
Edge and offline deployment; hundreds of community voices.
Voice library, cloning, and inline performance tags like [whispers].