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DeepSeek-V3.2

DeepSeek-V3.2

Reasoning-first models built for agents

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207 Upvotes

About

DeepSeek-V3.2 is an advanced large language model developed by deepseek-ai, designed for high computational efficiency, superior reasoning, and agent performance. It features DeepSeek Sparse Attention (DSA) for long-context scenarios, a scalable reinforcement learning framework that enables its high-compute variant (DeepSeek-V3.2-Speciale) to surpass GPT-5 and achieve reasoning proficiency on par with Gemini-3.0-Pro, and a large-scale agentic task synthesis pipeline for integrating reasoning into tool-use. The model has demonstrated gold-medal performance in simulated International Mathematical Olympiad (IMO) and International Olympiad in Informatics (IOI) competitions. It also includes a revised chat template with tool calling and 'thinking with tools' capabilities and is released under the MIT License.


Color Palette

Background White

#FFFFFF

70%

Text Black/Dark Grey

#000000

15%

Hugging Face Blue

#536af5

5%

Accent Yellow/Orange

#ffc107

3%

Typography

Sans-serif

Headings and Body Text

Aa

Design Review

The design of the Hugging Face page for DeepSeek-V3.2 is highly functional and clean, typical of a platform catering to developers and researchers. The layout prioritizes content readability with a clear hierarchy of headings and bullet points, making complex technical information easily digestible. The light theme with ample white space contributes to a professional and uncluttered aesthetic. Color accents are primarily used in badges and links, providing visual cues without being distracting. The overall design is modern and consistent, effectively supporting the presentation of detailed technical specifications and usage instructions. Usability is enhanced by clear navigation elements and well-formatted code snippets.

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