The 3-billion parameter VibeThinker-3B matches models 333 times its size on math and coding benchmarks. Sina Weibo achieved this via multi-stage post-training. The results suggest logical reasoning compresses efficiently into small architectures, while broad factual knowledge does not. This provides a blueprint for building high-performance, lightweight models for specialized technical tasks.