Model Details
Released
May 7, 2026
Context Length
16,000
Max Output
2,000
Where is GPT Realtime Whisper a perfect fit?
GPT-Realtime-Whisper is OpenAI's dedicated streaming speech-to-text model, designed to return low-latency transcript updates while someone is still speaking. Developers can tune the trade-off between transcription latency and accuracy.
- Live captions and subtitles for calls, meetings, and broadcasts
- Realtime transcription while a user is actively speaking
- Voice assistants that need text transcripts before downstream processing
- Contact-center and customer-support call transcription
- Meeting notes and live conversation logging
- Accessibility applications providing immediate speech-to-text
- Applications requiring adjustable latency versus transcription accuracy
- Streaming audio workflows where waiting for a complete recording is impractical
- Live captions and subtitles for calls, meetings, and broadcasts
- Realtime transcription while a user is actively speaking
- Voice assistants that need text transcripts before downstream processing
- Contact-center and customer-support call transcription
- Meeting notes and live conversation logging
- Accessibility applications providing immediate speech-to-text
- Applications requiring adjustable latency versus transcription accuracy
- Streaming audio workflows where waiting for a complete recording is impractical
Quick Model Estimate
Your GPT Realtime Whisper Cost Estimate
💰 Total Cost
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for 1000 input + 1000 output tokens
📥 Input (1000)
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📤 Output (1000)
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Cost Breakdown
📥 Input
📤 Output
Prices are watched for changes and checked against the provider's own page.
Pricing
Other Models in the GPT Realtime Family
FAQs about GPT Realtime Whisper
What is GPT Realtime Whisper's context window?
GPT Realtime Whisper has a context window of 16,000 tokens, and returns up to 2,000 tokens in a single response.