While typical models spend 1–2% of their budget on post-training, v3.2 allocated .
The AI landscape is moving at breakneck speed, and the recent release of DeepSeek-V3.2 has sent shockwaves through the community. Known for its efficiency and "open-weights" philosophy, this latest iteration isn't just a minor patch—it’s a major step toward GPT-5 level reasoning performance. Space v3.2
Most open-source models focus heavily on pre-training. However, the DeepSeek-V3.2 paper reveals a shift in strategy: . While typical models spend 1–2% of their budget