A post-training framework (Instance-level Difficulty-Aware Control) that dynamically allocates reasoning depth per-problem via reward shaping, improving AIME24 Pass@3 by 10.0% while cutting token usage 27.9%, and outperforming uniform-length-penalty and routing-only baselines.