Eleven Realtime
Intro
**Eleven Realtime** is a newly tracked term on FastToolHub's radar. Source signal: X+Web. Radar summary: ElevenLabs launched Eleven Realtime (2026-10-20): new class of speech-to-speech voice-agent models — Eleven Realtime v1 Mini (natural conversation, 0.62s TTFA, Full-Duplex-Bench 95.8%) and v1 Max (reasoning + tool calling, Big Bench Audio 98.8%, 0.57s TTFA). 90+ languages, 17k voices, in ElevenAgents and an OpenAI-Realtime-compatible WebSocket API (model ids eleven_realtime_v1_mini / _max). Product page elevenlabs.io/realtime; X News story.
Explain
Eleven Realtime appears in the model / AI-system category: something teams would load, call, or fine-tune rather than a pure UI gadget. It is framed as an evaluation or leaderboard surface — useful when you need comparable scores instead of anecdotal demos. Mentions point at agent workflows — coding agents, computer-use, or tool-using loops. Product-launch or platform framing suggests an end-user or developer-facing release, not only a research paper. Do not invent parameters, prices, or benchmarks beyond what the excerpt already states.
Usage
Start from the primary link: https://elevenlabs.io/blog/realtime. For benchmarks: reproduce the stated protocol, note the version, and avoid cherry-picking single numbers from social posts. For models: verify context length, license, and hardware needs from official docs; run a small smoke test before production. For agent/product tools: try a narrow workflow first, keep secrets out of prompts, and log failures for later replay. Numbers and claims in this page only repeat the radar excerpt — double-check upstream before publishing.