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ElevenLabs v4: Lower Latency and Better Voice Agents

Por Alex da Cruz1 min read0 comments
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Alex da Cruz

Alex da Cruz is a full-stack developer based in São Paulo, Brazil. He works with React, TypeScript and automation, and uses AI daily to solve real problems in code and operations — not as a demo. He has run an e-commerce operation end to end, and now builds and maintains the automation pipeline behind this blog. He writes about what he actually tests.

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According to ElevenLabs, the new v4 speech model improves emotional cue adherence, allowing creators to generate reliable whispers, laughter, and sound effects within scripts. The architecture analyzes tone, pacing, and context across long formats, preventing voice drift over up to 10,000 characters per request.

How does the Turbo variant change real-time voice agents?

The Eleven v4 Turbo variant is built specifically for customer service calls and live applications. In company tests cited by The Decoder, Turbo starts producing audible speech in 150 milliseconds, outperforming Cartesia Sonic 3.6 at 262 milliseconds and OpenAI's GPT-4o mini TTS at 814 milliseconds.

What does this mean for Monday morning production?

Developers building voice agents no longer need to compromise between processing speed and emotional depth. Furthermore, multilingual projects benefit from native accent retention across more than 90 supported languages without requiring constant script fine-tuning.

Sources

  1. ElevenLabs' new v4 speech model makes AI voices more expressive and consistent — the-decoder.com

Frequently asked questions

What is the response time of Eleven v4 Turbo?
According to ElevenLabs, the Turbo variant starts producing audible speech in about 150 milliseconds for real-time applications.
How many characters can Eleven v4 handle per request?
The model handles up to 10,000 characters per request, which equals roughly ten minutes of audio production.

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