Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 42.9% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
20 days newer

Phi 4 Reasoning
Microsoft
2025-04-30

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 4 common benchmarks

Gemma 3n E2B Instructed LiteRT (Preview)

Phi 4 Reasoning
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Phi 4 Reasoning
2025-03-01
Available providers and their performance metrics

Gemma 3n E2B Instructed LiteRT (Preview)

Phi 4 Reasoning

Gemma 3n E2B Instructed LiteRT (Preview)

Phi 4 Reasoning