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DeepSeek: R1 Distill Qwen 1.5B

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DeepSeek R1 Distill Qwen 1.5B is a distilled large language model based on [Qwen 2.5 Math 1.5B](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It's a very small and efficient model which outperforms [GPT 4o 0513](/openai/gpt-4o-2024-05-13) on Math Benchmarks. Other benchmark results include: - AIME 2024 pass@1: 28.9 - AIME 2024 cons@64: 52.7 - MATH-500 pass@1: 83.9 The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

Parameters

5B

Context Window

131,072

tokens

Input Price

$0.18

per 1M tokens

Output Price

$0.18

per 1M tokens

Capabilities

Model capabilities and supported modalities

Performance

Reasoning

-

Math

Strong mathematical capabilities, handles complex calculations well

Coding

-

Knowledge

-

Modalities

Input Modalities

text

Output Modalities

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LLM Price Calculator

Calculate the cost of using this model

$0.000270
$0.000540
Input Cost:$0.000270
Output Cost:$0.000540
Total Cost:$0.000810
Estimated usage: 4,500 tokens

Monthly Cost Estimator

Based on different usage levels

Light Usage
$0.0036
~10 requests
Moderate Usage
$0.0360
~100 requests
Heavy Usage
$0.3600
~1000 requests
Enterprise
$3.6000
~10,000 requests
Note: Estimates based on current token count settings per request.
Last Updated: 2025/05/06