The fastest robust Text-to-Speech model: under 50ms TTFA

Gradium’s latest text-to-speech model, now out of beta and the default for its API and studio, delivers its first audio chunk in roughly 50 milliseconds, positioning it as a low-latency option among frontier TTS systems. The company argues that its model improves on ElevenLabs v4 Turbo in latency, naturalness, expressivity, multilingual performance, and handling of difficult content such as phone numbers and contextual alphanumeric text. Although human conversations typically allow a 200–300 millisecond turn-taking gap, reducing TTS latency frees more of that budget for language-model reasoning, interruption handling, and network delays, potentially making voice agents feel more responsive, particularly during brief exchanges. The streaming model is positioned for real-time uses including support agents, coaching avatars, and telephone interactions, while pre-rendered applications such as audiobooks, narration, and IVR prompts can benefit from improved expressiveness. Existing API users do not need to make changes, and developers may provide longer opening phrases for additional context without sacrificing startup speed.

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