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ElevenLabs launches Eleven Realtime speech-to-speech models

10/21/2026 — 10/21, 14:18·2 sources (all)·2 reports (all)

Key takeaways

  • ElevenLabs has launched Eleven Realtime, a pair of speech-to-speech models. v1 Max scores 98.8% on Big Bench Audio with 0.57-second latency,…

Background & analysis

On October 21, 2026, ElevenLabs released two speech-to-speech models under the name Eleven Realtime, according to The Decoder. The larger variant, v1 Max, scores 98.8% on the Big Bench Audio benchmark with a response time of 0.57 seconds. ElevenLabs says that no model currently on the Artificial Analysis leaderboard is both faster and more accurate. The smaller v1 Mini targets natural conversation at lower cost and is able to tell when the other speaker has finished talking. Both models are offered through the ElevenAgents platform and through an API compatible with OpenAI Realtime, and are billed by the minute plus tokens. The available reporting covers the launch and specifications only; no further developments have been reported.

AI-generated from 1 reports · updated 12 hours ago

Latest turnAccording to TestingCatalog, ElevenLabs has released two speech-to-speech models. Eleven Realtime v1 Max scores 98.8% on Big Bench Audio and starts speaking in 0.57 seconds, while Mini is tuned for natural conversation at low cost. Both models are available now.

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Reports on this story headlines open the original

Today
  1. According to TestingCatalog, ElevenLabs has released two speech-to-speech models. Eleven Realtime v1 Max scores 98.8% on Big Bench Audio and starts speaking in 0.57 seconds, while Mini is tuned for natural conversation at low cost. Both models are available now.

    X:TestingCatalog (@testingcatalog)AI score 57
  2. The Decoder reports that ElevenLabs has released two speech-to-speech models, Eleven Realtime. The v1 Max variant scores 98.8% on Big Bench Audio with a 0.57-second response time, and the company says no model on the Artificial Analysis leaderboard is both faster and more accurate. The smaller v1 Mini targets low-cost natural conversations and can tell when someone has finished speaking. Both are available through the ElevenAgents platform and an OpenAI-compatible Realtime API.

    The DecoderAI score 62

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