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 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct

Alibaba

2024-07-23

26 days newer

Average performance across 5 common benchmarks

Gemma 2 9B

Average Score:53.8%

Qwen2 7B Instruct

+16.1%

Average Score:69.9%

Performance comparison across key benchmark categories

Gemma 2 9B

general

+17.0%

66.4%

math

52.6%

code

48.5%

Qwen2 7B Instruct

general

49.4%

math

+13.4%

66.0%

code

+15.8%

64.2%

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 7B Instruct

0 providers

Gemma 2 9B

Avg Score:53.8%

Providers:0

Qwen2 7B Instruct

+16.1%

Avg Score:69.9%

Providers:0