As real-time AI capabilities expand, developers often encounter confusing terminology. This post addresses a critical distinction: GPT-Live refers to a product model, while GPT-Realtime is the public API interface. Mixing these can cause integration failures, misconfigured requests, and wasted debugging time. The author emphasizes reading official documentation carefully and using the correct endpoint for your use case. For developers building voice or streaming applications, understanding this difference is essential for selecting the right tools and avoiding common pitfalls. The post also hints at broader trends in AI API design, where product names and technical interfaces diverge. This clarity helps teams align their architecture with provider capabilities, reducing friction in deployment. As the ecosystem evolves, such distinctions will become even more important for scalable AI solutions.
A clear breakdown of the distinction between GPT-Live product model and GPT-Realtime public API, with practical advice for developers.