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OpenAI has introduced three new audio models for its Realtime API, marking a major step forward in the development of voice-powered artificial intelligence applications.
The new models — GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper — are designed to help developers build AI systems capable of understanding, responding, translating, and transcribing speech in real time.
Leading the rollout is GPT-Realtime-2, a voice model powered by GPT-5-level reasoning capabilities. According to OpenAI, the model can manage more complex conversations while maintaining context over longer interactions.
The company said the model supports simultaneous tool usage, allowing it to perform tasks such as checking calendars or retrieving information while verbally updating users about what it is doing. It also features a 128K-token context window, enabling longer and more coherent conversations.
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OpenAI is also launching GPT-Realtime-Translate, a real-time translation model capable of understanding more than 70 input languages and delivering responses in 13 output languages. The company said the system is designed to keep pace with natural conversation flow rather than offering delayed translations.
The third model, GPT-Realtime-Whisper, focuses on live transcription by converting spoken words into text as conversations happen. The capability is aimed at developers building voice assistants, customer service tools, meeting software, and multilingual communication platforms.
“Together, the models we are launching move real-time audio from simple call-and-response toward voice interfaces that can actually do work: listen, reason, translate, transcribe, and take action as a conversation unfolds,” OpenAI said in a statement.
The launch reflects growing competition in the AI industry to develop more natural and capable voice interfaces that go beyond basic chatbot interactions.
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