ElevenLabs Realtime

About ElevenLabs Realtime

ElevenLabs Realtime is a family of speech-to-speech models designed for building voice agents. It combines speech recognition, turn-taking logic, a language model, and voice output into a single end-to-end tuned system. The product includes two model variants-v1 Mini for natural conversation and v1 Max for complex tasks-and can be used through the ElevenAgents platform or an OpenAI-compatible Realtime API.

Review

Voice agents assembled from separate components often introduce latency at each hand-off, which can make conversations feel rigid. ElevenLabs Realtime addresses this by tuning the entire pipeline together, aiming for a time to first audio of 570ms for v1 Max and 620ms for v1 Mini. The tool also supports over 90 languages and deploys across phone, web widget, WhatsApp, and contact center platforms.

Key Features

• Two model variants: v1 Mini tuned for assistants, tutors, and interactive characters; v1 Max tuned for lead qualification, customer support, and scheduling.
• OpenAI-compatible Realtime API that lets developers switch endpoints and model names while keeping existing event handlers intact.
• Preconfigured transcription, turn-taking, and voice settings selectable from a single dropdown in ElevenAgents.
• Built-in agent tooling including knowledge base integration, guardrails, scripted scenario testing, and production monitoring.
• Searchable conversation logs with SOC 2, HIPAA, and GDPR support, plus EU Data Residency and Zero Retention modes.

Pricing and Value

Pricing details for ElevenLabs Realtime are not yet defined in the available reference content. The product launched this week, and the company has not published specific rate limits, per-minute costs, or subscription tiers for these models at this time.

Pros

• End-to-end tuning removes the latency stack-up common in multi-component voice agent setups.
• Developers already using OpenAI's Realtime API can migrate by changing the endpoint and model name, without rewriting event handlers.
• Models target distinct use cases-casual conversation versus precision-heavy tasks-so teams don't have to force one voice style onto every scenario.
• Deployment options span phone, web, WhatsApp, and contact center platforms directly from ElevenAgents.
• Compliance certifications (SOC 2, HIPAA, GDPR) and data controls like Zero Retention mode are documented, which matters for regulated industries.

Cons

• Pricing is not yet public, making cost projection difficult for teams evaluating the tool right now.
• The models are new to market, so long-term reliability data and third-party latency benchmarks outside ElevenLabs' own measurements aren't available yet.
• Teams that already have a fine-tuned pipeline with specialized speech recognition or custom turn-taking logic may not benefit from an end-to-end system that bundles these components together.

ElevenLabs Realtime fits teams building voice agents for support, sales, scheduling, or education who want to reduce integration work across separate speech and language components. Developers already on OpenAI's Realtime API can test it with minimal code changes. Organizations that need granular control over each pipeline stage or that rely on deeply customized speech recognition models might find the bundled approach less flexible than their current setup.