R1 Distill Qwen 14B

About R1 Distill Qwen 14B

DeepSeek R1 Distill Qwen 14B brings reasoning capability to an efficient 14 billion parameter model. Through distillation from DeepSeek R1, it captures advanced problem-solving abilities while enabling deployment on consumer hardware. The model demonstrates strong performance on mathematics and logical reasoning relative to its size, showing transparent thinking processes. It features a practical context window and runs efficiently on high-end consumer GPUs. The open weights support fine-tuning and customization for specific reasoning domains. For developers building reasoning-enhanced applications with limited resources, this distilled model provides accessible entry to advanced AI reasoning. It's particularly valuable for local deployment, educational tools, and cost-sensitive applications requiring genuine problem-solving capability.

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 14B 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-14b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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