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What is GPT‑Realtime‑Whisper?

OpenAI's GPT-Realtime-Whisper represents a groundbreaking advancement in streaming transcription technology, aimed at providing rapid speech-to-text functionalities for live scenarios. This model captures spoken words in real-time, enhancing the experience of voice-enabled applications by making them feel swifter, more interactive, and fluid, whether through immediate captioning or by creating notes that correspond with current conversations. By facilitating live speech integration into business workflows, it empowers teams to produce captions suitable for various contexts such as meetings, educational settings, broadcasts, and events, while also generating summaries and notes during discussions. Furthermore, it contributes to the development of voice agents that need to continuously understand user inputs, thereby streamlining follow-up processes in interactions characterized by extensive verbal exchanges. As an integral component of a state-of-the-art suite of real-time voice models within the API, it not only transcribes but also engages in reasoning and translation during conversations, elevating real-time audio interactions from simple exchanges to advanced voice interfaces that can listen, interpret, transcribe, and dynamically respond as dialogues unfold. This significant technological progress is poised to revolutionize our engagement with voice-driven systems, enhancing their intuitiveness and effectiveness in managing live communication, ultimately leading to more productive and seamless interactions. The potential applications of this technology are vast, promising improvements across various industries and enhancing user experiences across different platforms.

What is GPT-Realtime-2.1?

GPT-Realtime-2.1 is an OpenAI realtime reasoning model for developers building voice agents, conversational AI assistants, and speech-to-speech applications. The model is designed to support fast interactive experiences where users can speak naturally and receive audio or text responses. GPT-Realtime-2.1 updates GPT-Realtime-2 with improved handling of alphanumeric recognition, silence, background noise, and interruptions. It supports text, audio, and image input, with text and audio output, while video is not supported. The model includes configurable reasoning effort so developers can balance reasoning depth, latency, and token usage for different voice-agent workflows. GPT-Realtime-2.1 also supports instruction following, function calling, tool use, and reasoning tokens for more complex applications. Its 128,000-token context window and 32,000-token maximum output allow it to manage longer conversations and richer task context. OpenAI lists support across endpoints such as Chat Completions, Responses, Realtime, realtime translations, realtime transcription sessions, Assistants, Batch, and related API services. The model’s documented pricing includes $4 per 1 million text input tokens, $0.40 per 1 million cached text input tokens, and $24 per 1 million text output tokens, with separate audio and image token pricing. GPT-Realtime-2.1 is not documented as supporting streaming, structured outputs, fine-tuning, or predicted outputs. By combining realtime speech, multimodal input, reasoning, function calling, and tool use, GPT-Realtime-2.1 gives developers a foundation for building sophisticated AI voice agents and interactive customer-facing applications.

Media

Media

Integrations Supported

OpenAI
gpt-realtime
OpenAI Whisper

Integrations Supported

OpenAI
gpt-realtime
OpenAI Whisper

API Availability

Has API

API Availability

Has API

Pricing Information

$0.017 per minute
Free Version
Free Trial Offered?

Pricing Information

$0.40 per cached input
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api/

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

developers.openai.com/api/docs/models/gpt-realtime-2.1

Categories and Features

Categories and Features

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