Develop accessible interfaces for users who prefer voice interaction
Audio-native capabilities make it straightforward to build voice-first applications that serve users with visual impairments or those who prefer spoken communication
OG
OpenAI GPT-4o Audio Models
OpenAI GPT-4o Audio Models
Build Powerful Voice Agents
Overview
What it is
GPT-4o (“o” for “omni”) is our versatile, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is the best model for most tasks, and is our most capable model outside of our o-series models.
Intent
I need it when
Build applications that understand and generate spoken language
GPT-4o Audio Models enable direct audio input/output processing, allowing developers to create voice-enabled applications without separate speech-to-text and text-to-speech pipelines
Create multimodal AI experiences combining text, vision, and audio
GPT-4o's unified architecture processes audio alongside text and images in a single model, simplifying integration of multiple modalities in applications
Reduce latency in conversational AI systems
Native audio processing eliminates intermediate conversion steps, enabling faster end-to-end response times for voice interactions compared to chained APIs
Drop
Not a fit when
- User requires offline-only processing without API connectivity
- User needs guaranteed sub-millisecond latency for real-time applications
- User operates in jurisdictions with strict data residency requirements prohibiting cloud processing
- User requires open-source models they can fully audit and modify
- User has extremely limited budget and cannot afford per-token API pricing
Commercials
Pricing
Pricing not specified