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.

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.

Gemma 2 27B

Google

2024-06-27

Gemma 2 9B

Google

2024-06-27

0 days newer

Average performance across 16 common benchmarks

Gemma 2 27B

+4.5%

Average Score:69.1%

Gemma 2 9B

Average Score:64.6%

Performance comparison across key benchmark categories

Gemma 2 27B

reasoning

+2.8%

82.5%

general

+3.6%

70.0%

math

+5.5%

58.1%

code

+8.0%

56.5%

Gemma 2 9B

reasoning

79.7%

general

66.4%

math

52.6%

code

48.5%

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

Gemma 2 9B

0 providers

Gemma 2 27B

+4.5%

Avg Score:69.1%

Providers:0

Gemma 2 9B

Avg Score:64.6%

Providers:0