Model Comparison

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

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. 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 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Gemma 2 9B

Google

2024-06-27

Qwen2 72B Instruct

Alibaba

2024-07-23

26 days newer

Average performance across 8 common benchmarks

Gemma 2 9B

Average Score:62.5%

Qwen2 72B Instruct

+17.6%

Average Score:80.1%

Performance comparison across key benchmark categories

Gemma 2 9B

code

48.5%

reasoning

79.7%

math

52.6%

general

66.4%

Qwen2 72B Instruct

code

+33.8%

82.3%

reasoning

+0.8%

80.5%

math

+22.8%

75.4%

general

+1.5%

67.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemma 2 9B

0 providers

Qwen2 72B Instruct

0 providers

Gemma 2 9B

Avg Score:62.5%

Providers:0

Qwen2 72B Instruct

+17.6%

Avg Score:80.1%

Providers:0