ModelsBenchmark resultSpeech & Audio · Large Language Models1 source · Oct 20, 2026

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.

Proof1 independent outlet

Key points

  • 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.

Sources (1)

Extractive summary: sentences quoted from the sources.

Hype check

Independently evaluated2 independent looks since

  1. Evaluation · Oct 21, 2026Retrieval Augmented Generation Compositionality
  2. Evaluation · Oct 21, 2026GenXR-Bench: Benchmarking Coding Agents for Interactive XR Development
  3. Follow-up · Oct 20, 2026Speedrunning Relational Foundation Model Pretraining
  4. Follow-up · Oct 20, 2026Battle Drones - a vibe coded RTS with audio-based multiplayer
  5. Follow-up · Oct 20, 2026Gemini's Personal Intelligence is coming to cars
  6. Follow-up · Oct 20, 2026inr2action: Encoding Robot Episodes as Neural Implicit Representations for Recall and Action

Before this

  1. Oct 20, 2026Gradium Open-Sources Phonon, a 31M-Parameter On-Device TTS Model Under Apache 2.0
  2. Oct 20, 2026Voxtral 3
  3. Oct 20, 2026[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
  4. Oct 20, 2026Do Diffusion LLMs Scale? Testing Mercury 3 + Decide
  5. Oct 19, 2026Introducing Clairic, a new System One class of extraction models
  6. Oct 19, 2026MiniMax M3.1 Flash shows China's AI price race has no floor in sight

Related