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.

Qwen2.5 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.

Gemma 2 9B

Google

2024-06-27

Qwen2.5 32B Instruct

Alibaba

2024-09-19

2 months newer

Average performance across 8 common benchmarks

Gemma 2 9B

Average Score:62.5%

Qwen2.5 32B Instruct

+21.5%

Average Score:84.0%

Performance comparison across key benchmark categories

Gemma 2 9B

math

52.6%

reasoning

+0.5%

79.7%

code

48.5%

general

66.4%

Qwen2.5 32B Instruct

math

+36.9%

89.5%

reasoning

79.2%

code

+24.5%

73.0%

general

+5.0%

71.3%

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

Qwen2.5 32B Instruct

0 providers

Gemma 2 9B

Avg Score:62.5%

Providers:0

Qwen2.5 32B Instruct

+21.5%

Avg Score:84.0%

Providers:0