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.

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 27B

Google

2024-06-27

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

1 month newer

Average performance across 11 common benchmarks

Gemma 2 27B

Average Score:69.9%

Phi-3.5-MoE-instruct

+10.6%

Average Score:80.5%

Performance comparison across key benchmark categories

Gemma 2 27B

reasoning

82.5%

code

56.5%

general

+9.1%

70.0%

math

58.1%

Phi-3.5-MoE-instruct

reasoning

+2.8%

85.4%

code

+19.3%

75.8%

general

60.9%

math

+10.8%

69.0%

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

Phi-3.5-MoE-instruct

0 providers

Gemma 2 27B

Avg Score:69.9%

Providers:0

Phi-3.5-MoE-instruct

+10.6%

Avg Score:80.5%

Providers:0