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DeepSeek V3.2 Speciale

Reasoning modelDeepSeek V3.2

DeepSeek V3.2 Speciale

Release date: 2025-12-01Updated: 2026-06-15 07:18:20.998709
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
128K
Chinese support
Supported
Reasoning ability

DeepSeek V3.2-Speciale 是 V3.2 的高算力推理变体,放宽输出长度限制以提升复杂推理能力,在 IMO、IOI、ICPC 等顶级竞赛评测中达到金牌水平,性能超过 GPT-5,与 Gemini-3.0-Pro 相当,不支持工具调用,MIT 协议开源。

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

DeepSeek V3.2 Speciale

Model basics

Reasoning traces
Supported
Thinking modes
Thinking Mode (Default)Standard Mode
Context length
128K tokens
Max output length
32K tokens
Model type
Reasoning model
Modality (in / out)
Text → Text
Release date
2025-12-01
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
DeepSeek V3.2 Speciale

Open source & experience

Weights license
DEEPSEEK LICENSE AGREEMENT- 免费商用授权
GitHub repo
GitHub link unavailable
Live demo
No live demo
DeepSeek V3.2 Speciale

Official resources

Paper
DataLearnerAI blog
No blog post yet
DeepSeek V3.2 Speciale

API details

API speed
3/5
No public API pricing yet.
DeepSeek V3.2 Speciale

Benchmark Results

DeepSeek V3.2 Speciale currently shows benchmark results led by AIME2025 (22 / 106, score 96), CodeForces (7 / 16, score 2701), HLE (74 / 159, score 30.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
30.60
74 / 159

Math and Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
96
22 / 106

Coding and Software Engineer

1 evaluations
Benchmark / mode
Score
Rank/total
2701
7 / 16

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DeepSeek V3.2 Speciale

Publisher

DeepSeek V3.2 Speciale

Model Overview

DeepSeek V3.2-Speciale 是 V3.2 的高算力推理变体,放宽输出长度限制以提升复杂推理能力,在 IMO、IOI、ICPC 等顶级竞赛评测中达到金牌水平,性能超过 GPT-5,与 Gemini-3.0-Pro 相当,不支持工具调用,MIT 协议开源。

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