OpenAI demos GPT-Live multitasking intelligence: real-time conversation while checking flights, weather, and building an itinerary

OpenAI released three new voice models in its API on Thursday, broadening the range of surfaces where developers can plug GPT-class reasoning into live audio, the company posted on X. The three are GPT-Realtime-2, a successor to the company's existing realtime voice model with what OpenAI describes as GPT-5-class reasoning; GPT-Realtime-Translate, a live translation model with more than 70 input and 13 output languages; and GPT-Realtime-Whisper, a streaming speech-to-text model built for low-latency transcription. GPT-Realtime-2 picks up several capabilities that production voice teams have been simulating with prompt scaffolding, including preambles that let an agent say it is checking something while it calls tools and parallel tool calls that let the model fire multiple back-end requests simultaneously. The context window is now 128K, up from 32K. Reasoning effort is exposed as a knob with low set as the default to keep latency tight. GPT-Realtime-2 is priced at $32 per million audio-input tokens, $0.40 for cached input tokens, and $64 per million audio-output tokens. GPT-Realtime-Translate is priced at $0.034 per minute. GPT-Realtime-Whisper is priced at $0.017 per minute. Zillow reports a 26-point lift in call-success rate on its hardest adversarial benchmark, from 69% on the prior model to 95% on GPT-Realtime-2. BolnaAI reports 12.5% lower word error rates on Hindi, Tamil and Telugu using the translation model. OpenAI ships active classifiers and EU data residency, but the integration burden of compliance, brand voice and tool-call observability stays with the developer.