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
- 2Use the OpenAI API SDK or REST API to call
gpt-realtime-whisper— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
OPENAI_API_KEYModel ID
gpt-realtime-whisperUse 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
| Type | Rate |
|---|---|
| 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