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

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.

Qwen2.5 32B Instruct
Alibaba
Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Phi-3.5-MoE-instruct
Microsoft
2024-08-23

Qwen2.5 32B Instruct
Alibaba
2024-09-19
27 days newer
Average performance across 11 common benchmarks

Phi-3.5-MoE-instruct

Qwen2.5 32B Instruct
Performance comparison across key benchmark categories

Phi-3.5-MoE-instruct

Qwen2.5 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-MoE-instruct

Qwen2.5 32B Instruct

Phi-3.5-MoE-instruct

Qwen2.5 32B Instruct