R1 Distill Qwen 32B

About R1 Distill Qwen 32B

DeepSeek R1 Distill Qwen 32B transfers DeepSeek R1's reasoning capabilities to the efficient Qwen 32B architecture. This distillation creates a practical reasoning model that runs on accessible hardware while maintaining strong problem-solving ability. The model excels at mathematics, logical reasoning, and coding tasks, showing transparent chain-of-thought reasoning. It features a substantial context window and demonstrates competitive performance on reasoning benchmarks for its size. The open weights enable flexible deployment including local inference and enterprise on-premise deployment. For developers seeking reasoning capability in a deployable package, this distilled model offers excellent balance of capability and practicality. It's particularly valuable for educational applications, development tools, and scenarios requiring reasoning without flagship model costs.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with R1 Distill Qwen 32B API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-r1-distill-qwen-32b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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