R1 Distill Qwen 14B

About R1 Distill Qwen 14B

DeepSeek R1 Distill Qwen 14B is a distilled large language model based on [Qwen 2.5 14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models. Other benchmark results include: - AIME 2024 pass@1: 69.7 - MATH-500 pass@1: 93.9 - CodeForces Rating: 1481 The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

Model Specifications

DeepSeek R1 Distill Qwen 14B: hosted API vs local GGUF

The model name appears in both API pricing searches and local-download searches, but those workflows have different costs and requirements.

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

DeepSeek Model Lineup

Compare all models from DeepSeek to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Olmo 3 7B Instruct

Allen AI

Input: $0.10

Output: $0.20

Context: 66k

Mistral 7B Instruct v0.1

Mistral

Input: $0.11

Output: $0.19

Context: 3k

Ministral 3 8B 2512

Mistral

Input: $0.15

Output: $0.15

Context: 262k

Nova Lite 1.0

Amazon

Input: $0.06

Output: $0.24

Context: 300k

💡 Cheaper Alternatives

Same Brand (DeepSeek)

Cross Brand

🚀 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)

Continue Your Decision