Model Details
Released
Jul 29, 2026
Context Length
32,000
Max Output
4,096
Where is gpt-transcribe a perfect fit?
gpt-transcribe is OpenAI's production speech-to-text model, optimized for accurate transcription of uploaded or streamed audio. Compared with Whisper models, it provides lower word error rates, stronger multilingual recognition, and better transcription quality across diverse audio sources.
- Meeting transcription and automated note generation
- Podcast, interview, and webinar transcription
- Voice dictation and productivity applications
- Customer-support and call-center transcription
- Subtitle and caption generation
- Accessibility and assistive technologies
- Speech preprocessing for downstream LLM workflows
- High-accuracy multilingual speech recognition
- Meeting transcription and automated note generation
- Podcast, interview, and webinar transcription
- Voice dictation and productivity applications
- Customer-support and call-center transcription
- Subtitle and caption generation
- Accessibility and assistive technologies
- Speech preprocessing for downstream LLM workflows
- High-accuracy multilingual speech recognition
Quick Model Estimate
Your gpt-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-transcribe
What is gpt-transcribe's context window?
gpt-transcribe has a context window of 32,000 tokens, and returns up to 4,096 tokens in a single response.