LLM Reference
OpenAI API

Using GPT Realtime Whisper on OpenAI API

Implementation guide · GPT Realtime 2 · OpenAI

Serverless

OpenAI API exposes GPT Realtime Whisper through model ID gpt-realtime-whisper. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-16. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenAI API and generate an API key.
  2. 2
    Use the OpenAI API SDK or REST API to call gpt-realtime-whisper — see the documentation for request format.
  3. 3
    You'll be billed $0.017/min. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
gpt-realtime-whisper

Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".

import os
from openai import OpenAI

client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
    model="gpt-realtime-whisper",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypeRate
Audio minute$0.017/min

Capabilities

Audio

About GPT Realtime Whisper

GPT Realtime Whisper is OpenAI's streaming speech-to-text model, released May 7, 2026. It transcribes spoken audio live as a speaker talks rather than waiting for utterance completion, making it suitable for live captions, meeting notes, classroom transcripts, and real-time agent pipelines. The model is exposed through /v1/realtime/transcription_sessions and is priced per minute at $0.017 rather than per token.

Model Specs

Released2026-05-07
ArchitectureAudio / Speech
Knowledge cutoff2024-09

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States