Realtime voice agent models with 570ms to first audio
Eleven Realtime is ElevenLabs’ new family of speech-to-speech models for voice agents. Speech recognition, turn-taking, the LLM and the voice are tuned end-to-end. v1 Mini is built for natural conversation, v1 Max for complex tasks, with 620ms and 570ms to first audio. It supports 90+ languages and works in ElevenAgents or through an OpenAI-compatible Realtime API, so you only change the endpoint and model name.
Eleven Realtime is ElevenLabs’ new family of speech-to-speech models for building voice agents that sound natural in conversation.
Problem: Voice agents are usually stitched together from separate parts: speech recognition, a language model, turn-taking logic and a voice. Each hand-off adds delay, and that’s where conversations start to feel stiff, with awkward pauses and talking over each other.
Solution: Eleven Realtime tunes speech recognition, turn-taking, the LLM and the voice end to end. It comes in two models. v1 Mini is built for natural conversation, and v1 Max is built for complex tasks that need precise, deliberate answers. You can use it in ElevenAgents or through a Realtime API.
What makes it different: The API is OpenAI-compatible, so if you already have a voice app built on OpenAI’s Realtime API, you change the endpoint and model name and your existing event handlers keep working. Per ElevenLabs, time to first audio is 620 ms for v1 Mini and 570 ms for v1 Max, across 90+ languages.
Key features:
v1 Mini for assistants, tutors and interactive characters
v1 Max for lead qualification, customer support and scheduling
Pick the model from one dropdown in ElevenAgents, with transcription, turn-taking and voice preconfigured
Deploy to phone, web widget, WhatsApp and contact center platforms
Knowledge base, guardrails, scripted scenario testing and production monitoring in ElevenAgents
Searchable, auditable conversation logs
Per ElevenLabs, SOC 2, HIPAA and GDPR support, with EU Data Residency and Zero Retention modes
Who it’s for: Developers and teams building voice agents for support, sales, scheduling or education who want natural-sounding conversations without wiring the pieces together themselves.
“Realtime voice agent models with 570ms to first audio”
ElevenLabs Realtime launched on Product Hunt on October 23rd, 2026 and earned 154 upvotes and 3 comments, placing #5 on the daily leaderboard. Eleven Realtime is ElevenLabs’ new family of speech-to-speech models for voice agents. Speech recognition, turn-taking, the LLM and the voice are tuned end-to-end. v1 Mini is built for natural conversation, v1 Max for complex tasks, with 620ms and 570ms to first audio. It supports 90+ languages and works in ElevenAgents or through an OpenAI-compatible Realtime API, so you only change the endpoint and model name.
On the analytics side, ElevenLabs Realtime competes within Artificial Intelligence — topics that collectively have 481.8k followers on Product Hunt. The dashboard above tracks how ElevenLabs Realtime performed against the three products that launched closest to it on the same day.
Who hunted ElevenLabs Realtime?
ElevenLabs Realtime was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ElevenLabs Realtime including community comment highlights and product details, visit the product overview.
Rohan Chaubey
Eleven Realtime is ElevenLabs’ new family of speech-to-speech models for building voice agents that sound natural in conversation.
Problem: Voice agents are usually stitched together from separate parts: speech recognition, a language model, turn-taking logic and a voice. Each hand-off adds delay, and that’s where conversations start to feel stiff, with awkward pauses and talking over each other.
Solution: Eleven Realtime tunes speech recognition, turn-taking, the LLM and the voice end to end. It comes in two models. v1 Mini is built for natural conversation, and v1 Max is built for complex tasks that need precise, deliberate answers. You can use it in ElevenAgents or through a Realtime API.
What makes it different: The API is OpenAI-compatible, so if you already have a voice app built on OpenAI’s Realtime API, you change the endpoint and model name and your existing event handlers keep working. Per ElevenLabs, time to first audio is 620 ms for v1 Mini and 570 ms for v1 Max, across 90+ languages.
Key features:
v1 Mini for assistants, tutors and interactive characters
v1 Max for lead qualification, customer support and scheduling
Pick the model from one dropdown in ElevenAgents, with transcription, turn-taking and voice preconfigured
Deploy to phone, web widget, WhatsApp and contact center platforms
Knowledge base, guardrails, scripted scenario testing and production monitoring in ElevenAgents
Searchable, auditable conversation logs
Per ElevenLabs, SOC 2, HIPAA and GDPR support, with EU Data Residency and Zero Retention modes
Who it’s for: Developers and teams building voice agents for support, sales, scheduling or education who want natural-sounding conversations without wiring the pieces together themselves.
Try it via Eleven Realtime, the docs and the OpenAI compatibility guide.