Elevenlabs releases real-time speech-to-speech models
The Decoder: Elevenlabs releases two new speech-to-speech models designed for real-time AI conversations
Elevenlabs' new Eleven Realtime speech-to-speech models combine speed and accuracy. The v1 Max variant scores 98.8 percent on the Big Bench Audio benchmark with a 0.57-second response time. Elevenlabs says no model on the Artificial Analysis leaderboard is both faster and more accurate. The article Elevenlabs releases two new speech-to-speech models designed for real-time AI conversations appeared first on The Decoder.
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Elevenlabs released two new speech-to-speech models designed to enable real-time conversations with AI systems. The larger Max variant achieves 98.8 percent accuracy on the Big Bench Audio benchmark while maintaining a 0.57-second response time, which the company claims outperforms other available models in combining speed and accuracy. The smaller Mini variant is optimized for natural conversations at lower cost and can distinguish between speech pauses and filler sounds like "mm-hmm," while the Max variant targets more complex applications like customer support. Both models are available through the ElevenAgents platform and an OpenAI-compatible API, with pricing based on per-minute usage plus token costs.
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