Eleven v4: Our most expressive text-to-speech AI model yet

ElevenLabs has introduced Eleven v4 and its low-latency counterpart, Eleven v4 Turbo, text-to-speech models designed to produce more emotionally expressive, context-aware, and natural-sounding speech while preserving speaker identity. The company states that the models improve tone, pacing, multi-speaker dialogue, audio fidelity, natural-language delivery controls, inline sound and emotion tags, and IPA-based pronunciation guidance. Eleven v4 Turbo targets real-time voice-agent applications with reported median inference latency near 100 milliseconds and time to first speech of about 150 milliseconds, and it is optimized for use with the ElevenAgents platform. Both models support more than 90 languages, with stronger cross-language accent adaptation and voice consistency for dubbing and localization, while updated voice-cloning capabilities can create high-fidelity instant clones from as little as 10 seconds of audio and add Professional Voice Clone support. ElevenLabs reports leading benchmark and listener-preference results, and the models are available through ElevenAgents, ElevenCreative, and the ElevenAPI for uses including audiobooks, character performances, voiceovers, conversational agents, and localization.

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