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Audio modelActive

GPT-Realtime-Whisper

OpenAI

Released
-
Data date
September 22, 2026
Access

GPT-Realtime-Whisper is a dedicated streaming model for real-time transcription. It turns audio streams into text and lets developers tune latency and accuracy. Its documented output path is transcript deltas rather than spoken replies. Unlike GPT-Realtime 2.1, OpenAI documents text output and audio input for the realtime transcription workflow.

The documented context window is 16,000 tokens, with a 2,000-token maximum output. Function calling and structured outputs are not supported. OpenAI lists a September 30, 2024 knowledge cutoff. Its narrow specialization is reflected in the audio-input, text-output contract. OpenAI bills it by audio duration rather than text tokens.

Specifications and access

SpecificationValue and source
Model class
Streaming speech recognitionSource
Access
API model ID
gpt-realtime-whisperSource
Input
Audio streamSource
Output
TextSource
Task
Streaming transcriptionSource
Supported details
For real-time audioSource
Context window
16,000 tokensSource
Maximum output
2,000 tokensSource
Knowledge cutoff
2024-09-30Source