GPT-4o Transcribe
OpenAI · GPT-4o Audio
OpenAI speech-to-text model tier for production transcription and voice pipeline workflows.
Overview
Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on February 15, 2026.
GPT-4o Transcribe is OpenAI’s speech-to-text model tier for converting spoken audio into text in product and operations workflows. It is useful where transcription quality and integration simplicity matter.
Capabilities
The model supports high-quality transcription for meeting capture, support workflows, and voice-enabled product features. It fits pipelines that need reliable text output from varied audio inputs.
Technical Details
For STT models, token contextWindow and maxOutput are not the right primary performance indicators. This profile sets both fields to 0 intentionally and treats them as N/A in token-oriented UI displays.
Pricing & Access
Available through OpenAI API audio model endpoints where supported. Teams should verify current rates, language support, and limits from official OpenAI docs before deployment.
Best Use Cases
Best for transcription services, searchable meeting notes, support call indexing, and ingestion pipelines feeding downstream summarization or QA systems.
Comparisons
Compared with GPT-4o mini Transcribe, this tier is generally positioned for higher quality. Compared with Eleven v3 STT workflows, selection depends on broader platform needs. Third-party benchmark sources like Artificial Analysis can provide directional context, but internal audio-set testing remains essential.