Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 13.2% higher average benchmark score. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
IBM
Granite 4.0 Tiny Preview was introduced as an experimental ultra-compact model, designed to demonstrate IBM's progress in efficient model development. Built to explore the boundaries of what small models can achieve for enterprise applications, it represents an early look at next-generation Granite capabilities.
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.
8 months newer

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

IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Average performance across 6 common benchmarks

IBM Granite 4.0 Tiny Preview

Phi-3.5-MoE-instruct
Available providers and their performance metrics

IBM Granite 4.0 Tiny Preview

Phi-3.5-MoE-instruct

IBM Granite 4.0 Tiny Preview

Phi-3.5-MoE-instruct