Models / DeepSeek
Chat
Reasoning

DeepSeek R1 Distilled Qwen 14B

Qwen 14B distilled with reasoning capabilities from Deepseek R1. Outperforms GPT-4o in math & matches o1-mini on coding.

About model

DeepSeek R1 Distilled Qwen 14B excels at complex problem-solving and reasoning tasks. It leverages large-scale reinforcement learning to develop chain-of-thought capabilities. Suitable for researchers and developers seeking advanced reasoning models.

Performance benchmarks

Model

AIME 2025

GPQA Diamond

HLE

LiveCodeBench

MATH500

SWE-bench verified

65.0%

78.3%

Related open-source models

Competitor closed-source models

Claude Opus 4.6

90.5%

34.2%

78.7%

OpenAI o3

83.3%

24.9%

99.2%

62.3%

OpenAI o1

76.8%

96.4%

48.9%

GPT-4o

49.2%

2.7%

32.3%

89.3%

31.0%

  • API usage

    • cURL
    • Python
    • Typescript

    Endpoint:

    deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

    curl -X POST "https://api.together.xyz/v1/chat/completions" \
      -H "Authorization: Bearer $TOGETHER_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
        "messages": [
          {
            "role": "user",
            "content": "What are some fun things to do in New York?"
          }
        ]
    }'
    
    from together import Together
    
    client = Together()
    
    response = client.chat.completions.create(
      model="deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
      messages=[
        {
          "role": "user",
          "content": "What are some fun things to do in New York?"
        }
      ]
    )
    print(response.choices[0].message.content)
    
    import Together from 'together-ai';
    const together = new Together();
    
    const completion = await together.chat.completions.create({
      model: 'deepseek-ai/DeepSeek-R1-Distill-Qwen-14B',
      messages: [
        {
          role: 'user',
          content: 'What are some fun things to do in New York?'
         }
      ],
    });
    
    console.log(completion.choices[0].message.content);
    
Related models
  • Model provider
    DeepSeek
  • Type
    Chat
    Reasoning
  • Main use cases
    Chat
    Reasoning
  • Features
    JSON Mode
  • Fine tuning
    Supported
  • Deployment
    Serverless
    On-Demand Dedicated
    Monthly Reserved
  • Parameters
    14.8B
  • Input price

    $0.18 / 1M tokens

  • Output price

    $0.18 / 1M tokens

  • Input modalities
    Text
  • Output modalities
    Text
  • Released
    January 20, 2025
  • Last updated
    September 9, 2025
  • Quantization level
    FP16
  • External link
  • Category
    Chat