Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 5.8% higher average benchmark score. Overall, Phi-3.5-mini-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 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
8 months newer

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

IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Context window and performance specifications
Average performance across 6 common benchmarks

IBM Granite 4.0 Tiny Preview

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

IBM Granite 4.0 Tiny Preview

Phi-3.5-mini-instruct
Azure

IBM Granite 4.0 Tiny Preview

Phi-3.5-mini-instruct

IBM Granite 4.0 Tiny Preview

Phi-3.5-mini-instruct