Model Comparison

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

Google

Gemma 2 27B

Google

Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google'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.

Google

Gemma 2 27B

Google

2024-06-27

Alibaba

QwQ-32B

Alibaba

2025-03-05

8 months newer

Performance comparison across key benchmark categories

Google

Gemma 2 27B

math
58.1%
code
56.5%
general
70.0%
Alibaba

QwQ-32B

math
+32.5%
90.6%
code
+17.1%
73.6%
general
+0.4%
70.4%
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

Google

Gemma 2 27B

0 providers
Alibaba

QwQ-32B

0 providers
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0