Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 27.2% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
Gemma 3N E2B IT was developed as the instruction-tuned version of Gemma 3N E2B, designed to follow user instructions while maintaining edge-optimized efficiency. Built for applications requiring both compact size and reliable instruction-following, it extends conversational AI to resource-constrained environments.
Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
1 month newer

Phi 4 Mini Reasoning
Microsoft
2025-04-30

Gemma 3n E2B Instructed
2025-06-26
Average performance across 1 common benchmarks

Gemma 3n E2B Instructed

Phi 4 Mini Reasoning
Gemma 3n E2B Instructed
2024-06-01
Phi 4 Mini Reasoning
2025-02-01
Available providers and their performance metrics

Gemma 3n E2B Instructed

Phi 4 Mini Reasoning

Gemma 3n E2B Instructed

Phi 4 Mini Reasoning