Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 25.7% higher average benchmark score. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 month newer
Gemma 2 27B
2024-06-27
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Average performance across 36 common benchmarks
Gemma 2 27B
Phi-3.5-MoE-instruct
Available providers and their performance metrics
Gemma 2 27B
Phi-3.5-MoE-instruct
Gemma 2 27B
Phi-3.5-MoE-instruct