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OpenAI Launches GPT-Realtime with Advanced Speech Model and Realtime API Upgrades

OpenAI has officially launched GPT-Realtime, its most advanced speech-to-speech AI model, now available through the production-ready Realtime API. The updates include dramatic cost reductions, new voice options, and powerful integrations aimed at enabling seamless voice-based AI agents.


What’s New in GPT-Realtime and Realtime API

Advanced Speech-To-Speech Model

  • GPT-Realtime is a single-model pipeline that directly processes and generates audio—no more chaining between speech-to-text and text-to-speech—ensuring lower latency and better preservation of vocal nuances like laughs and pauses.
  • The model demonstrates improved ability to follow complex instructions, perform accurate function calls, and handle multi-step reasoning.

Natural, Expressive Voices

  • OpenAI introduced two new voice options: Cedar and Marin, enhancing expressiveness and realism in voice output. Existing voices also receive quality upgrades.
  • GPT-Realtime can interpret non-verbal cues like laughter, switch languages mid-sentence, and adapt tone based on instructions (e.g., “speak empathetically in a French accent”).

Enhanced Developer Tools & API Features

  • The updated Realtime API includes:
    • MCP (Model Context Protocol) support for seamless tool integration with external data hubs.
    • Image input support—developers can feed images alongside audio or text for richer interactions.
    • SIP (Session Initiation Protocol) support for voice agents capable of making direct phone calls.
    • Reusable prompts to streamline voice agent deployment across sessions.

Lower Latency and Pricing

  • OpenAI has reduced cost by ~20%: $32 per million input audio tokens (down from $40) and $64 per million output tokens (down from $80).
  • The diverse integrations and real-time performance make it ideal for production environments.

What This Means for Developers & Businesses

BenefitDetails
Speed & FidelityReal-time voice response with preserved human-like nuances
ExpressivenessCustomizable tone, accent, and language-switching capabilities
VersatilitySupports images, tool calls, SIP phone integration, and reusable contexts
Cost-Effectiveness~20% lower pricing makes voice agents more affordable

This brings voice agents closer to mainstream adoption, enabling more natural and engaging applications in customer support, virtual assistants, education, and content creation.

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