Eleven v4 and Eleven v4 Turbo
Elevenlabs' fastest and most emotive voice models yet
Eleven v4 and Eleven v4 Turbo launched on September 28, 2026 with 126 votes, #160 of 8,042 launches that month and more than 95% of that year's launches.
What it does
Meet Eleven v4 and Eleven v4 Turbo by ElevenLabs, their most expressive models yet, with Turbo built for real-time use. Available in apps, API, and agents.
Meet Eleven v4 and Eleven v4 Turbo by ElevenLabs, our most expressive models yet, with Turbo built for real-time use. Available in apps, API, and agents.
strong]:tw-font-normal tw-text-gray-600"> Introducing Eleven v4 Meet Eleven v4, our most emotive model yet. With 3x credits included on Creator+ until October 12 Create controllable, expressive speech layered with emotion, audio events, and immersive soundscapes. Eleven v4 is built on an entirely new architecture that reads a script the way a voice actor would. It knows who's speaking, what just happened, and how every line should land. Speech in 90+ languages across an exceptional emotional range, with multiple speakers and sound effects built-in to set the scene. Add direction like [laughs], [whispers], and [door slams] straight into the script. Eleven v4 follows tag sequences more…from elevenlabs.io
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Conversational AI 2.0 From ElevenLabs2025 · elevenlabs.io · ▲652Luke from ElevenLabs here. We just released Scribe Realtime v2, our new real-time Speech to Text model. We rebuilt it from the ground up around a new architecture that uses predictive transcription – it anticipates the next likely word before it’s spoken. That makes it both fast (around 150 ms latency) and highly accurate. Scribe v2 Realtime outperforms every low latency transcription model across 30 commonly used EU and Asian languages – 93.5% accuracy, compared to Gemini 2.5 Flash (91.4%), GPT-4o MiniTranscribe (90.7%), and Deepgram Nova 3 (85%). It supports 90+ languages including…

I built a sub-500ms latency voice agent from scratchMar 2026 · ntik.me · ▲570I built a voice agent from scratch that averages ~400ms end-to-end latency (phone stop → first syllable). That’s with full STT → LLM → TTS in the loop, clean barge-ins, and no precomputed responses. What moved the needle: Voice is a turn-taking problem, not a transcription problem. VAD alone fails; you need semantic end-of-turn detection. The system reduces to one loop: speaking vs listening. The two transitions - cancel instantly on barge-in, respond instantly on end-of-turn - define the experience. STT → LLM → TTS must stream. Sequential pipelines are dead on arrival for natural…
ElevenLabs app for iOS and Android2025 · play.google.com · ▲242The most powerful AI voice tools, now in your pocket.
ElevenLabs UIOct 2025 · ui.elevenlabs.io · ▲514Hey hn, I put together a collection of audio and agent components for Next.js built on top of ShadCN. Hope you find this useful & let me know if there’s ant feedback a (GitHub repo will be open sourced tomorrow am)

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