Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
Alibaba Cloud / Qwen Team
Qwen2 72B was developed as the flagship model in the Qwen2 generation, designed to provide advanced language understanding with 72 billion parameters. Built to deliver strong performance across diverse tasks, it represented a significant advancement in Qwen's model capabilities when introduced.
1 month newer

Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23

Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Average performance across 11 common benchmarks

Phi-3.5-MoE-instruct

Qwen2 72B Instruct
Available providers and their performance metrics

Phi-3.5-MoE-instruct

Qwen2 72B Instruct

Phi-3.5-MoE-instruct

Qwen2 72B Instruct