DeepSeek V3.2

GPT-5 level reasoning at a fraction of the cost, featuring DeepSeek Sparse Attention.

Generic Info

Publisher: DeepSeek AI
Release Date: December 2025 (V3.2), January 2025 (R1)
Parameters: 671B Total (37B Active)
Context Window: 128K-164K tokens
License: MIT License
Key Capabilities: Advanced Reasoning, Coding, Math, Agentic Tool Use

DeepSeek V3.2 introduces DeepSeek Sparse Attention (DSA), dramatically reducing compute for long-context tasks. The V3.2-Speciale variant achieves "gold-medal performance" in IMO, IOI, and ICPC competitions. At $0.25/M input tokens, it offers frontier performance at 100x lower cost than GPT-5.

Hello World Guide

Interact with DeepSeek V3.2 using the OpenAI SDK (API compatible).

Python

from openai import OpenAI

# Initialize client (points to DeepSeek API)
client = OpenAI(
    api_key="YOUR_API_KEY", 
    base_url="https://api.deepseek.com/v1"
)

response = client.chat.completions.create(
    model="deepseek-chat",  # Uses V3.2 by default
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Solve this calculus problem: integral of x^2 dx"},
    ],
    stream=False
)

print(response.choices[0].message.content)

Industry Usage

Competitive Programming

V3.2-Speciale achieves gold-medal level performance in IMO, IOI, and ICPC World Finals 2025.

Cost-Effective AI

At $0.25/M tokens, teams deploy frontier reasoning at 100x lower cost than proprietary alternatives.

Agentic Workflows

"Thinking in tool-use" combines step-by-step reasoning with external tool invocation for complex agents.