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Gemma 3n E2B Instructed LiteRT (Preview) vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 11.5% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
20 days newer
Phi 4 Reasoning
Microsoft
2025-04-30
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 35 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:35.1%(+11.5%)
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Phi 4 Reasoning
Average Score:23.6%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:35.1%(+11.5%)
Providers:0
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Phi 4 Reasoning
Avg Score:23.6%
Providers:0