Launch Video Library · AI · Launch · 2026

Eleven v4 & v4 Turbo Launch

ElevenLabs introduced Eleven v4 and v4 Turbo, its fastest and most emotive voice models built on a new architecture.

What ElevenLabs shipped

ElevenLabs announced Eleven v4 and Eleven v4 Turbo, introducing an entirely new architecture designed to generate highly emotive, performed speech. The update focuses on interpreting tone, pacing, and character for greater authenticity.

The launch also targets the developer ecosystem with the Turbo variant, built specifically for low-latency agent use cases. By achieving a median inference latency of approximately 100 milliseconds, the release positions the company's voice cloning and generation tools for real-time applications.

How the motion works

For an audio-first product like Eleven v4, motion design must bridge the gap between sound and sight. Designers might rely on kinetic-typography to visualize the nuances of tone, emotion, and character. Syncing the scale and weight of text directly to the cadence of the generated speech grounds the abstract concept of an emotive voice model in a tangible visual.

When demonstrating the 100-millisecond latency of the Turbo model, pacing becomes the primary storytelling tool. A sequence could employ cutting-on-the-beat to emphasize speed, snapping between agent use cases in rapid succession. Tightening the hold-time on these frames visually reinforces the low-latency claim without requiring explicit on-screen metrics.

To highlight the authenticity and consistency of instant voice cloning, a match-cut offers a clean solution. Cutting between different contexts or characters while keeping a central waveform or UI element perfectly anchored communicates stability. This technique prevents visual distraction, keeping the viewer focused entirely on the consistency of the audio output.

What to steal from it

  • Visualize audio nuances by linking typography weight and scale to the speaker's cadence.
  • Reinforce low-latency claims through aggressive pacing and tight cuts rather than relying solely on text overlays.
  • Use match cuts across different scenarios to emphasize the consistency of the core product output.
  • Anchor abstract AI capabilities in concrete visual representations to ground the viewer's understanding.

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Impractical cuts one from a single prompt — the same motion craft, in about twenty minutes.