Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 2 9B
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-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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
2024-06-27
Phi-3.5-mini-instruct
Microsoft
2024-08-23
1 month newer
Performance Metrics
Context window and performance specifications
Gemma 2 9B
Phi-3.5-mini-instruct
Average performance across 11 common benchmarks
Gemma 2 9B
Phi-3.5-mini-instruct
Performance comparison across key benchmark categories
Gemma 2 9B
Phi-3.5-mini-instruct
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 9B
Phi-3.5-mini-instruct
Azure
Gemma 2 9B
Phi-3.5-mini-instruct