Eleven v4 Turbo
A low-latency, real-time text-to-speech model developed by ElevenLabs that optimizes response speed while maintaining acceptable audio quality. It supports streaming generation and is suited for interactive applications such as voice agents and real-time translation.
Timeline (last 90 days)
ElevenLabs' released Eleven v4 Turbo has a median time to first audio (TTFA) latency of about 150 milliseconds in the official WebSocket benchmark tests.
Eleven v4 and v4 Turbo are two variants released by ElevenLabs based on the same research results, with v4 leaning toward quality (audiobooks, dubbing, advertising, etc.) and v4 Turbo leaning toward speed (voice agents, real-time calls, etc.).
In simulation experiments, Turbo's streaming TTS was about 3.5 times faster than batch TTS at 20 tokens, and about 14 times faster at 80 tokens.
Turbo's bidirectional streaming architecture overlaps speech synthesis with text generation, making the time to first audio independent of sentence length.
Eleven v4 Turbo's streaming capabilities include bidirectional streaming: audio has already started before the sentence ends.
Eleven v4 Turbo trades some peak expressiveness for speed.
ElevenLabs released two voice models: Eleven v4 and Eleven v4 Turbo.
For quality-sensitive asynchronous generation tasks, v4 is recommended; for latency-sensitive real-time interactions, v4 Turbo is recommended.
Eleven v4 Turbo is built specifically for real-time scenarios, reducing latency while maintaining quality.
After launching on Product Hunt, Eleven v4 and v4 Turbo entered the daily top ten, ranking 9th with 91 votes.
2 more timeline events
All Facts (12)
Eleven v4 Turbo's streaming capabilities include bidirectional streaming: audio has already started before the sentence ends.
50%UnverifiedTurbo's bidirectional streaming architecture overlaps speech synthesis with text generation, making the time to first audio independent of sentence length.
50%UnverifiedElevenLabs' released Eleven v4 Turbo has a median time to first audio (TTFA) latency of about 150 milliseconds in the official WebSocket benchmark tests.
50%UnverifiedEleven v4 and v4 Turbo are two variants released by ElevenLabs based on the same research results, with v4 leaning toward quality (audiobooks, dubbing, advertising, etc.) and v4 Turbo leaning toward speed (voice agents, real-time calls, etc.).
50%UnverifiedIn simulation experiments, Turbo's streaming TTS was about 3.5 times faster than batch TTS at 20 tokens, and about 14 times faster at 80 tokens.
50%UnverifiedFor quality-sensitive asynchronous generation tasks, v4 is recommended; for latency-sensitive real-time interactions, v4 Turbo is recommended.
50%UnverifiedEleven v4 Turbo is built specifically for real-time scenarios, reducing latency while maintaining quality.
50%UnverifiedBoth models will be made available simultaneously across ElevenLabs' application interface, API, and Agent product line.
50%UnverifiedThe core optimization of Turbo-class models often lies in streaming synthesis, whereby audio data is pushed as it is generated rather than waiting for an entire sentence to be synthesized before output.
50%UnverifiedEleven v4 Turbo trades some peak expressiveness for speed.
50%UnverifiedElevenLabs released two voice models: Eleven v4 and Eleven v4 Turbo.
50%UnverifiedAfter launching on Product Hunt, Eleven v4 and v4 Turbo entered the daily top ten, ranking 9th with 91 votes.
50%