Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 6.6% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
Gemma 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
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.
1 month newer

Gemma 2 9B
2024-06-27

Phi-3.5-mini-instruct
Microsoft
2024-08-23
Context window and performance specifications
Average performance across 11 common benchmarks

Gemma 2 9B

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

Gemma 2 9B

Phi-3.5-mini-instruct
Azure

Gemma 2 9B

Phi-3.5-mini-instruct

Gemma 2 9B

Phi-3.5-mini-instruct