Model Comparison

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

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.

Qwen2.5 14B Instruct

Alibaba

Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Gemma 2 27B

Google

2024-06-27

Qwen2.5 14B Instruct

Alibaba

2024-09-19

2 months newer

Average performance across 6 common benchmarks

Gemma 2 27B

Average Score:62.9%

Qwen2.5 14B Instruct

+18.3%

Average Score:81.2%

Performance comparison across key benchmark categories

Gemma 2 27B

math

58.1%

reasoning

+15.2%

82.5%

general

+2.6%

70.0%

code

56.5%

Qwen2.5 14B Instruct

math

+29.3%

87.4%

reasoning

67.3%

general

67.4%

code

+13.5%

70.0%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemma 2 27B

0 providers

Qwen2.5 14B Instruct

0 providers

Gemma 2 27B

Avg Score:62.9%

Providers:0

Qwen2.5 14B Instruct

+18.3%

Avg Score:81.2%

Providers:0