Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek R1 Distill Qwen 14B

DeepSeek

DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek R1 Distill Qwen 14B

DeepSeek

2025-01-20

QwQ-32B

Alibaba

2025-03-05

1 month newer

Average performance across 4 common benchmarks

DeepSeek R1 Distill Qwen 14B

Average Score:71.5%

QwQ-32B

+3.1%

Average Score:74.7%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 14B

math

+3.3%

93.9%

code

53.1%

general

69.5%

QwQ-32B

math

90.6%

code

+20.5%

73.6%

general

+0.8%

70.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Qwen 14B

0 providers

QwQ-32B

0 providers

DeepSeek R1 Distill Qwen 14B

Avg Score:71.5%

Providers:0

QwQ-32B

+3.1%

Avg Score:74.7%

Providers:0