Model Comparison

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

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). 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 Zero

DeepSeek

2025-01-20

QwQ-32B

Alibaba

2025-03-05

1 month newer

Average performance across 4 common benchmarks

DeepSeek R1 Zero

+1.8%

Average Score:76.5%

QwQ-32B

Average Score:74.7%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+5.3%

95.9%

general

+9.6%

80.0%

code

50.0%

QwQ-32B

math

90.6%

general

70.4%

code

+23.6%

73.6%

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 Zero

0 providers

QwQ-32B

0 providers

DeepSeek R1 Zero

+1.8%

Avg Score:76.5%

Providers:0

QwQ-32B

Avg Score:74.7%

Providers:0