Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 2 27B
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-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 27B
2024-06-27

Phi-3.5-mini-instruct
Microsoft
2024-08-23
1 month newer
Performance Metrics
Context window and performance specifications

Gemma 2 27B

Phi-3.5-mini-instruct
Average performance across 11 common benchmarks

Gemma 2 27B

Phi-3.5-mini-instruct
Performance comparison across key benchmark categories

Gemma 2 27B

Phi-3.5-mini-instruct
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

Phi-3.5-mini-instruct
Azure

Gemma 2 27B

Phi-3.5-mini-instruct