ElevenLabs Releases Two Real-Time Speech-to-Speech Models, Eleven Realtime
ElevenLabs has released two speech-to-speech models, Eleven Realtime, among which v1 Max scores 98.8% on Big Bench Audio with a response time of 0.57 seconds. The smaller v1 Mini targets low-cost natural conversation and can tell whether the other party has finished speaking or only said "mm-hmm," while v1 Max targets more complex tasks such as customer service. Both models are available through the ElevenAgents platform and the OpenAI-compatible Realtime API, billed per minute plus tokens, with v1 Max priced higher than v1 Mini.
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The original text provides specific figures on latency and accuracy for the two speech-to-speech models, allowing readers to judge the practical limits of real-time voice conversation.
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Elevenlabs released two new speech-to-speech models called Eleven Realtime. The 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 right now.
The smaller v1 Mini is built for natural conversations at lower cost and can tell when someone's done talking or just saying "mm-hmm." V1 Max targets more complex tasks like customer support.
Both models are available through the ElevenAgents platform and an OpenAI-compatible Realtime API. Pricing is per minute plus token costs, with v1 Max costing more than v1 Mini. Full details are on the Elevenlabs pricing page .