# Gradium TTS

Gradium TTS pushes time-to-first-audio below typical human speech response, reaching a median TTFA of 214 ms on the Coval benchmark as of September 2026 with an interquartile range tight enough for developers to set reliable latency budgets for the rest of the pipeline. It uses Kyutai's Delayed Streams Modeling, which treats text and audio as two parallel streams on a shared clock so audio can start before the upstream model finishes the sentence. On Baseten it ships as a dedicated deployment whose weights are pre-mirrored and cached, cutting cold starts by 2–3x.

Gradium TTS pushes time-to-first-audio below typical human speech response, reaching a median TTFA of 214 ms on the Coval benchmark as of September 2026 with an interquartile range tight enough for developers to set reliable latency budgets for the rest of the pipeline. It uses Kyutai's Delayed Streams Modeling, which treats text and audio as two parallel streams on a shared clock so audio can start before the upstream model finishes the sentence. On Baseten it ships as a dedicated deployment whose weights are pre-mirrored and cached, cutting cold starts by 2–3x.