While typical models spend 1–2% of their budget on post-training, v3.2 allocated .
DeepSeek-V3.2 proves that you don't need a trillion-dollar data center to achieve state-of-the-art performance. By optimizing architecture rather than just "scaling up," this release democratizes high-level AI reasoning for the open-source community. Other "v3.2" Highlights in the Space Space v3.2
Below is a blog post template centered on the latest AI breakthrough, . Pushing the AI Frontier: What’s New in DeepSeek-V3.2? While typical models spend 1–2% of their budget