Voice agents have been expensive to run and painful to orchestrate, not because the models can't handle conversation, but because context ceilings forced enterprises to build session resets, state compression, and reconstruction layers into every deployment. OpenAI's three new voice models are designed to reduce that overhead, and they change how engineers can think about building voice into a larger agent stack.GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper integrate
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