Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct supports multimodal inputs. 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.
Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
5 months newer

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

Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi-3.5-MoE-instruct

Phi-4-multimodal-instruct
DeepInfra

Phi-3.5-MoE-instruct

Phi-4-multimodal-instruct

Phi-3.5-MoE-instruct

Phi-4-multimodal-instruct