From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates

·Sebastian Raschka··

Last updated: January 1st, 2026Similar to DeepSeek V3, the team released their new flagship model over a major US holiday weekend. Given DeepSeek V3.2’s really good performance (on GPT-5 and Gemini 3.0 Pro) level, and the fact that it’s also available as an open-weight model, it’s definitely worth a closer look.Figure 1: Benchmark comparison between DeepSeek V3.2 and proprietary flagship models. This is an annotated figure from the DeepSeek V3.2 report.I covered the predecessor, DeepSeek V3, at ...

Read full article →

Related Articles

OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 18d ago
Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 15d ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 18d ago
Using “underdrawings” for accurate text and numbers
samcollins · Hacker News · 19d ago
ProgramBench: Can language models rebuild programs from scratch?
jonbaer · Hacker News · 14d ago