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💡 Usage Tips:

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Deep Dive into OpenAI's gpt-realtime: A Revolution in Real-Time Voice AI

OpenAI has launched its most advanced speech-to-speech model, gpt-realtime, alongside a major upgrade to the Realtime API, enabling AI agents that can talk and listen with a human-level voice quality.

The All-New gpt-realtime Model: A Leap in Core Capabilities

Superior Audio Quality & Emotion

Go beyond clarity to achieve naturalness. The model generates highly expressive and emotional speech, following detailed instructions on tone and accent to make every conversation feel human.

Enhanced Intelligence & Comprehension

The model now better understands non-verbal cues (like laughter and pauses), seamlessly switches languages mid-conversation, and exhibits stronger logical reasoning for deeper communication.

Precise Instruction Following

As a developer, you can more reliably define the AI's role, behavior, and response style, ensuring your AI agent performs exactly as designed in any scenario.

Reliable Function Calling

When it's time to perform real-world tasks, the model more accurately calls the right tools and APIs with the correct parameters—key to building practical and effective AI agents.

Realtime API Upgrades: Built for Production

Image Input Capability

Conversation is no longer limited to voice. With image input, the AI can 'see' the world, enabling vision-based discussions and unlocking countless new use cases.

SIP Protocol Support

Easily integrate your AI agent into the global telephone network. Whether for call centers or automated responders, your AI can now communicate directly over phone lines.

Asynchronous Function Calling

A new API feature that improves responsiveness and allows for more complex interactions by not blocking on tool execution.

EU Data Residency

Full support for EU Data Residency, ensuring compliance and data privacy for European customers and developers.

A Superior Speech-to-Speech Architecture

Unlike classic pipelines, gpt-realtime uses a single, unified model for faster, more natural, and more context-aware conversations.

Traditional Pipeline

Audio Input
Speech-to-Text Model
Language Model (LLM)
Text-to-Speech Model

Multiple, separate models lead to higher latency and loss of nuance.

gpt-realtime Unified Model

Audio Input
Audio Output
Understands Tone & Emotion
Hears Non-Verbal Cues

A single model processes audio directly, preserving nuance and reducing latency.

The Power of Real-Time Voice in Action

Discover the core features that make gpt-realtime a game-changer, demonstrated with real examples from the official announcement.

Emotional Range & Multilingual Speech. From despair to excitement in a moment.

The model can portray a wide range of emotions. In a demo, it expressed despair over a lost lottery ticket ("Oh, no. I can't believe I lost my winning lottery ticket.") and immediately switched to excitement upon finding it ("I found it. I won!"). It can also switch languages seamlessly mid-sentence within a single response.

Emotional Range & Multilingual Speech

Data-Driven Performance

Trained in close collaboration with customers, the model shows significant gains on key industry benchmarks.

Reasoning (Big Bench Audio)

82.8%

Accuracy on a benchmark designed for assessing reasoning capabilities of audio-based language models.

Instruction Following (MultiChallenge)

30.5%

Accuracy on a benchmark that evaluates handling multi-turn conversations with complex, realistic challenges.

Function Calling (ComplexFuncBench)

66.5%

Accuracy on a benchmark that measures handling challenging, multi-step function calling tasks.

Customer Spotlight

Real-World Impact with T-Mobile

In just a few days, T-Mobile demonstrated the power of gpt-realtime to transform complex customer interactions.

A More Human Experience

Look, simply put, it's so much more human... what we love about this model is it stays with the customer, meets the customer where they are. It follows the random walk of multiple different questions. This is an opportunity to reinvent your processes.

Srini Gopalan, Chief Operating Officer at T-Mobile

The Challenge

The device upgrade process is often confusing and complex for customers, leading to frustration and long support calls.

The Solution

An AI assistant powered by gpt-realtime that can naturally handle random questions, stay with the customer, and make the process feel conversational.

Frequently Asked Questions

Key questions answered based on the official gpt-realtime announcement.

Still have questions?

Contact us for more information: [email protected]

Get Ready for the Voice AI Revolution

Start building the next generation of voice-enabled applications with the power of gpt-realtime. Explore the documentation and get inspired for your next project.

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