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

Qwen2.5 32B Instruct

Alibaba

Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Google

Gemma 2 27B

Google

2024-06-27

Alibaba

Qwen2.5 32B Instruct

Alibaba

2024-09-19

2 months newer

Average performance across 8 common benchmarks

Google

Gemma 2 27B

Average Score:68.4%
Alibaba

Qwen2.5 32B Instruct

+15.6%
Average Score:84.0%

Performance comparison across key benchmark categories

Google

Gemma 2 27B

math
58.1%
reasoning
+3.3%
82.5%
code
56.5%
general
70.0%
Alibaba

Qwen2.5 32B Instruct

math
+31.4%
89.5%
reasoning
79.2%
code
+16.5%
73.0%
general
+1.3%
71.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
Alibaba

Qwen2.5 32B Instruct

0 providers
Google

Gemma 2 27B

Avg Score:68.4%
Providers:0
Alibaba

Qwen2.5 32B Instruct

+15.6%
Avg Score:84.0%
Providers:0