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GPT-Live-Transcribe

OpenAI · Released Jul 2026

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OpenAI's low-latency streaming speech-to-text model delivers live transcript deltas at $0.017/min with tunable latency and context-aware transcription. It improves on gpt-realtime-whisper's error rate and supports real-time keyword hints, language hints, and mid-session configuration updates via WebSocket or WebRTC. The tradeoff: ~3.8x the cost of batch GPT-Transcribe, and no diarization, word timestamps, or confidence scores. Best for live captioning, meeting assistants, and voice agents where sub-second transcript display matters more than per-minute cost.

Is it right for you?

Good for

  • Low-latency streaming transcription with tunable delay from minimal to xhigh for live captioning and voice agents
  • Context-aware transcription via prompts, keywords, and language hints configurable mid-session
  • Improved error rate over predecessor gpt-realtime-whisper for production voice applications
  • Seamless WebRTC and WebSocket integration for browser and server-side audio pipelines

Not good for

  • Batch or offline file transcription where latency is irrelevant — use gpt-transcribe at 3.8x lower cost
  • Applications requiring speaker diarization, word-level timestamps, or confidence scores
  • Post-commit turn transcription with language detection — use gpt-transcribe in Realtime sessions instead

How it performs by task

Live captioning

Excellent

Purpose-built for this use case; tunable latency lets you balance speed against accuracy for on-screen captions

Meeting assistants

Very Good

Streaming deltas keep notes current during conversations, but lack of diarization limits multi-speaker meetings

Voice agent transcription

Excellent

Designed for Realtime API integration; handles turn-taking and continuous audio streams naturally

Multilingual live transcription

Very Good

Supports multiple language hints simultaneously; accuracy on code-switching depends on language pair

Domain-specific live transcription

Very Good

Keyword hints and context prompts improve accuracy, but complex domain vocabulary still benefits from custom models

Pricing

Input

$0.017 / minute

Output

N/A

Context

Per-minute realtime audio billing

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Sources

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How we evaluate