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ElevenLabs Launches Eleven Realtime v1 Mini and Max Voice Agents

·2026.10.20 21:00

Key point

The new Speech to Speech models support 90+ languages and 17,000+ voices, with v1 Max achieving 98.8% accuracy on Big Bench Audio and v1 Mini scoring 75.9%.

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Details

  • ElevenLabs introduces Eleven Realtime, a class of Speech to Speech models that function as complete voice agents, removing the need to assemble separate components for speech recognition, voice activity detection, and text-to-speech.
  • Two models launch today: v1 Mini for natural conversations at low cost (suitable for AI assistants and interactive characters) and v1 Max for complex tasks like customer support and multi-step workflows.
  • Independent evaluation by Artificial Analysis shows v1 Max answering 98.8% of Big Bench Audio questions correctly compared to 75.9% for v1 Mini, while v1 Mini scores 95.8% on Full-Duplex-Bench conversational dynamics versus 94.1% for v1 Max.
  • Both models support over 90 languages and 17,000+ voices, with v1 Max completing 87.1% of tool-use tasks and v1 Mini completing 60.3%.
  • The Realtime API is compatible with OpenAI's Realtime API, allowing developers to switch by changing the endpoint and model name, though it connects via WebSocket only and runs separately from the ElevenAgents platform.
  • Average time to first audio is 0.57 seconds for v1 Max and 0.62 seconds for v1 Mini, positioning v1 Max on the Pareto frontier for both accuracy and speed.
elevenlabsartificial-analysisrealtime-apispeech-to-speechbig-bench-audiovoice-agents
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