A large mixture-of-experts model that activates only 22 billion parameters per forward pass despite its 235B total size, making it surprisingly efficient at inference time. It handles complex reasoning, coding, and multilingual tasks with depth, and supports a hybrid thinking mode that lets it toggle between quick responses and extended chain-of-thought deliberation. The trade-off is that hosting it still requires substantial hardware to load all expert weights.