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Gemma 3n E2B Instructed LiteRT (Preview) vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 27.2% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
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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.
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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.
20 days newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
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Average performance across 1 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:24.8%
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Phi 4 Mini Reasoning
Average Score:52.0%(+27.2%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E2B Instructed LiteRT (Preview)
0 providers
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Phi 4 Mini Reasoning
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:24.8%
Providers:0
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Phi 4 Mini Reasoning
Avg Score:52.0%(+27.2%)
Providers:0