Theo Browne presents Grok 4.6 as a post-training improvement focused on long-running agents, technical reasoning and multi-step work. Benchmark results move it closer to leading coding models, while his own repository tests show that it can audit code, plan changes and coordinate several related tasks with useful persistence.
The model's gains are uneven. Browne finds its interface design weak, its generated game implementations substantially behind competing models and its tooling integration rough around plan approval, event handling and interactive questions. He treats these failures as evidence that benchmark improvements do not translate uniformly across practical tasks.
Grok 4.6 also uses more tokens than Grok 4.5, which raises cost per completed task and slows output despite unchanged headline token prices. Browne concludes that the model is smarter and better at orchestration, but has lost much of the unusual speed and cost advantage that made Grok 4.5 compelling.
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