GPT-Live-1 is now in the API
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GPT-Live-1 is now in the API

2026.09.15
·YouTube·by Leon
#API#Conversational AI#LLM#Speech Technology

Key Points

  • 1GPT-Live 1 is a new full-duplex API model designed to provide natural, expressive, and interruption-resistant conversational voice capabilities.
  • 2The model integrates with a back-end reasoning engine to support complex tool use and autonomous actions while maintaining fluid speech.
  • 3Developers can access this technology starting today for 5 cents per minute, with additional costs applied for back-end inference and specific tool services.

GPT-Live 1 is a newly launched API-based model designed for real-time, full-duplex conversational voice interaction. The system architecture utilizes a specialized front-end model for low-latency, expressive audio processing that is capable of managing background noise interference and handling user interruptions concurrently.

The core methodology employs a dual-layered approach to conversational processing. The front-end model focuses on the continuous stream of audio data, maintaining full-duplex communication where the system can listen and speak simultaneously. This is achieved through sophisticated signal processing that filters environmental noise, ensuring that the model remains responsive even in non-ideal auditory conditions.

To support complex tasks, GPT-Live 1 operates in tandem with a secondary back-end model. This back-end is responsible for high-level reasoning, the execution of external tools, and the delegation of specialized actions—such as controlling robotic hardware or updating visual displays—without obstructing the fluid progression of the conversation. The pricing structure is segmented, with the front-end model charged at a rate of \0.05$ per minute, while costs for back-end inference and specific tool integrations are calculated separately. By decoupling the conversational front-end from the reasoning back-end, the architecture provides a scalable solution for integrating interactive voice capabilities into production applications.