Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Alibaba

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

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

Alibaba

QwQ-32B

Alibaba

2025-03-05

1 month newer

Average performance across 4 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Average Score:46.8%
Alibaba

QwQ-32B

+27.8%
Average Score:74.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
83.9%
code
16.9%
general
43.3%
Alibaba

QwQ-32B

math
+6.7%
90.6%
code
+56.7%
73.6%
general
+27.1%
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

DeepSeek R1 Distill Qwen 1.5B

0 providers
Alibaba

QwQ-32B

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Avg Score:46.8%
Providers:0
Alibaba

QwQ-32B

+27.8%
Avg Score:74.7%
Providers:0