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-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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-Coder 7B Instruct

Alibaba

2024-09-19

2 months newer

Average performance across 8 common benchmarks

Gemma 2 9B

Average Score:62.5%

Qwen2.5-Coder 7B Instruct

+10.1%

Average Score:72.6%

Performance comparison across key benchmark categories

Gemma 2 9B

reasoning

+9.5%

79.7%

general

+14.1%

66.4%

math

52.6%

code

48.5%

Qwen2.5-Coder 7B Instruct

reasoning

70.2%

general

52.3%

math

+12.6%

65.3%

code

+8.8%

57.3%

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-Coder 7B Instruct

0 providers

Gemma 2 9B

Avg Score:62.5%

Providers:0

Qwen2.5-Coder 7B Instruct

+10.1%

Avg Score:72.6%

Providers:0