OpenAI gpt-realtime-whisper
Version: 2026-05-07
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Key capabilities
About this model
Gpt-realtime-whisper is a low‑latency, streaming speech‑to‑text model designed for real‑time transcription of live audio. It continuously processes incoming audio streams and converts spoken language into text with high accuracy, making it well suited for conversational AI, voice assistants, and live captioning scenarios. The model is optimized for robustness across diverse accents, speaking styles, and acoustic conditions, enabling reliable transcription in dynamic, real‑world environments while maintaining minimal latency for interactive applications. Supported region: Canada Central, France Central, and India South. More coming soonKey model capabilities
Key Features:- Real-time speech-to-text transcription
Continuously converts streaming audio into text during live interactions. - Low-latency streaming performance
Processes incoming audio incrementally to support interactive and near real-time applications. - Optimized for live audio input
Designed to handle continuous microphone or call audio streams rather than batch uploads.
-Robust speech recognition
Transcribes spoken language across varied speaking styles and environments. - Supports conversational pipelines
Enables downstream use cases such as voice agents, live captioning, and transcription-driven workflows. - Text-only output (no audio generation)
Produces structured transcription output without generating synthesized speech. - Integrates with realtime model stack
Can be paired with translation or conversational models to build full end-to-end voice experiences.
Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
The provider has not supplied this information.Out of scope use cases
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Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
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Training, testing and validation
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Distribution channels
This model is provided through the Azure OpenAI Service.More information
The following documents are applicable:Responsible AI considerations
Safety techniques
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Acceptable use policy
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Source: OpenAI The provider has not supplied this information.Benchmarking methodology
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Source: OpenAI The provider has not supplied this information.Model Specifications
Context Length128000
LicenseCustom
Training DataApril 2026
Last UpdatedMay 2026
Input TypeAudio
Output TypeText
ProviderOpenAI
Languages27 Languages