#real-time inference

Boson AI announced Higgs Realtime Duplex, a 45B mixture-of-experts multimodal model designed to process audio, video and text in 160 ms chunks while listening, watching and speaking concurrently. Unlike turn-based voice models, it keeps thinking, calling tools and delegating harder problems to a larger backend model as background spans in the same stream, and can begin speaking before staged tool results are complete. The model is not open weights: access to the Duplex API is waitlisted, while the earlier turn-based Higgs Realtime is available now. Boson&\x27;s reported comparison shows the model competitive with, but on five of seven benchmarks 1–5 points behind, OpenAI&\x27;s best settings, with turn-taking its weakest area.