MDL
DeepSeek-V3.2
deepseek-ai
Capability
—
percentile index
Downloads
2M
on HF
Likes
1.5K
Avg score
—
Weights
Open
Released
Dec 1, 2025
About
DeepSeek-V3.2 is a open-weights model in the DeepSeek family from deepseek-ai.
mittext-generation
Benchmark scores · 0
No benchmark scores yet.
The research behind this model
all papers mentioning it →EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents▲ 18 on HF · Jun 9, 2026OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based DistillationMay 28, 2026How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM ServingMay 27, 2026TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent SystemsMay 27, 2026From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing AgentsMay 25, 2026
Mentions matched by name in title/abstract — from the arXiv + HF daily corpus.