Model Details
Released
Jul 8, 2026
Context Length
32,000
Max Output
4,096
Where is gpt-live-transcribe a perfect fit?
GPT-Live-Transcribe is OpenAI's low-latency live speech-to-text model, built for continuous transcription of streaming audio. It is optimized for producing transcript updates while people are still speaking, making it suitable for real-time voice interfaces and captioning.
- Live meeting transcription and note-taking
- Real-time captions for calls, webinars, and broadcasts
- Voice assistants requiring immediate speech-to-text
- Accessibility applications with live caption generation
- Customer-support and contact-center transcription
- Dictation and voice-input applications
- Streaming audio pipelines requiring incremental transcript updates
- Applications that process transcripts in real time for downstream AI workflows
- Live meeting transcription and note-taking
- Real-time captions for calls, webinars, and broadcasts
- Voice assistants requiring immediate speech-to-text
- Accessibility applications with live caption generation
- Customer-support and contact-center transcription
- Dictation and voice-input applications
- Streaming audio pipelines requiring incremental transcript updates
- Applications that process transcripts in real time for downstream AI workflows
Quick Model Estimate
Your gpt-live-transcribe 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 updated daily from official provider data.
Pricing
FAQs about gpt-live-transcribe
What is gpt-live-transcribe's context window?
gpt-live-transcribe has a context window of 32,000 tokens, and returns up to 4,096 tokens in a single response.