xAI has released Grok 4.6, a model update focused on stronger agentic work, better post-training, and improved performance on long-running tasks like coding, research, and interactive product development. The model builds on Grok 4.5 with an emphasis on agentic tool use, long-context work, and lower hallucination behavior. xAI describes its flagship model family as suited for “code and everything else,” with configurable reasoning and agentic tool calling as core capabilities. The main upgrades include long-running agents with better persistence, knowledge work, coding and development, visual and interactive work, and improved training quality with regenerated fine-tuning trajectories and reinforcement learning. Grok 4.6 was trained across agentic RL tasks including general coding, knowledge work, web development, computer-aided design, and kernel optimization. Several sources report that the model retains the same 1.5-trillion-parameter V9 foundation as Grok 4.5, with gains credited to a longer supplemental training run, better supervised fine-tuning, and reinforcement learning. This makes Grok 4.6 a refinement release that improves how the model reasons, checks its work, and handles multi-step tasks. Agentic performance is a central theme, referring to a model’s ability to keep working through a goal, use tools, recover from mistakes, and verify outcomes instead of stopping at a first-pass answer.