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.

Phi-3.5-MoE-instruct

Microsoft

Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Gemma 2 9B

Google

2024-06-27

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

1 month newer

Average performance across 11 common benchmarks

Gemma 2 9B

Average Score:65.4%

Phi-3.5-MoE-instruct

+15.1%

Average Score:80.5%

Performance comparison across key benchmark categories

Gemma 2 9B

reasoning

79.7%

code

48.5%

math

52.6%

general

+5.4%

66.4%

Phi-3.5-MoE-instruct

reasoning

+5.6%

85.4%

code

+27.3%

75.8%

math

+16.4%

69.0%

general

60.9%

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

Phi-3.5-MoE-instruct

0 providers

Gemma 2 9B

Avg Score:65.4%

Providers:0

Phi-3.5-MoE-instruct

+15.1%

Avg Score:80.5%

Providers:0