Discover DeepSeek V3.2 Speciale for Advanced Reasoning

Unlock powerful reasoning and coding capabilities with DeepSeek V3.2 Speciale.

Input: text Output: text Context: 163,840 tokens Release: 2025-12-01

DeepSeek V3.2 Speciale, released in December 2025 by DeepSeek, is designed for high-compute performance, particularly in reasoning and agentic tasks. With a context length of 131072, it processes text inputs and outputs efficiently. This model utilizes DeepSeek Sparse Attention for effective long-context handling and incorporates post-training reinforcement learning to enhance its capabilities. Evaluations indicate that it excels in challenging reasoning scenarios, showcasing proficiency similar to Gemini-3.0-Pro while maintaining strong reliability in coding and tool use. Whether you're looking to engage in interactive environments or require robust compliance and generalization, DeepSeek V3.2 Speciale is equipped to meet those needs.

Use Cases

Here are a few ways teams apply DeepSeek: DeepSeek V3.2 Speciale in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance problem-solving in complex scenarios

Improve compliance in interactive tasks

Facilitate effective coding assistance

Support advanced reasoning in AI applications

Key Features

A quick look at the capabilities that make this model useful in real projects.

Optimized for maximum reasoning performance

Handles long-context with Sparse Attention

Advanced coding and tool-use reliability

Large-scale agentic task synthesis pipeline

Supports extensive input and output text modalities

Specs

Overview

Vendor
deepseek

Model ID
deepseek/deepseek-v3.2-speciale

Release
2025-12-01

Modalities & context

Input
text

Output
text

Context
163,840 tokens

Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logit_bias, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p

Defaults: temperature 1, top_p 0.95

Benchmark tests: DeepSeek: DeepSeek V3.2 Speciale

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

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