ElevenLabs Releases Eleven Flash Low-Latency AI Voice Model
ElevenLabs launched Eleven Flash, an ultra-low latency text-to-speech model capable of generating audio in approximately 75 milliseconds. The model reduces API character credit costs by 50% compared to Eleven Turbo v2 while offering multi-language support across 32 languages.
Verified State Diff
Impact & Verification Analysis
Developers, enterprise software engineers, and product teams building interactive voice agents, real-time dubbing tools, and conversational AI interfaces.
Achieving sub-100ms audio generation removes human-perceptible latency in conversational AI workflows, significantly lowering infrastructure costs for high-volume, real-time voice applications.
Full Fact Overview
ElevenLabs officially released Eleven Flash, a lightweight text-to-speech architecture optimized for real-time conversational applications, interactive voice agents, and high-throughput audio workloads. Operating with a processing latency of approximately 75 milliseconds, Eleven Flash halves the credit consumption rate of previous real-time models while maintaining voice quality and support for 32 languages via standard API and WebSocket endpoints.