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Deepseek 3.2

Model family: DeepSeek
DeepSeek V3.2 continues the main DeepSeek V3 lineage, using a large Mixture-of-Experts (MoE) architecture that activates only part of the model per token, enabling high capacity with efficient compute usage.
It is trained on a large and diverse dataset to provide reliable performance for everyday tasks such as conversation, content generation, translation, analysis, and coding.
The model is built to be stable, predictable, and broadly capable without specializing too heavily in long-context or extreme reasoning scenarios. It is well-optimized for general LLM use cases where consistency, versatility, and reliability matter.
DeepSeek V3.2 is ideal for applications needing solid overall capability rather than specialized optimization. It performs well in reasoning, writing, summarization, creative tasks, technical explanations, and code assistance while keeping inference cost reasonable.
Text Gen 7
Released: December 1, 2025

Overview

DeepSeek V3.2 is the core, stable 3.2-series model designed as a strong general-purpose LLM. It builds on the DeepSeek V3 architecture and delivers balanced performance across reasoning, writing, coding, and multilingual tasks.

About DeepSeek

DeepSeek is a Chinese AI firm specializing in large language models, based in Hangzhou.

Industry: Artificial Intelligence
Company Size: 200
Location: Hangzhou, Zhejiang, CN
View Company Profile

Benchmark scores

How Deepseek 3.2 ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.

2,386.0rating
83.3%
93.1%
GPQA Diamond
Knowledge
82.4%
40.8%
MMLU-Pro
Knowledge
85.0%
Compare across all benchmarks โ†’

Tools using Deepseek 3.2

Last updated: April 6, 2026
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