Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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 7B

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 7B

Average Score:65.7%
Alibaba

QwQ-32B

+9.0%
Average Score:74.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 7B

math
+2.2%
92.8%
code
37.6%
general
66.2%
Alibaba

QwQ-32B

math
90.6%
code
+36.0%
73.6%
general
+4.2%
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 7B

0 providers
Alibaba

QwQ-32B

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 7B

Avg Score:65.7%
Providers:0
Alibaba

QwQ-32B

+9.0%
Avg Score:74.7%
Providers:0