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Gemma 3n E2B vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 39.6% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.
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Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
10 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Gemma 3n E2B
2025-06-26
Average performance across 35 common benchmarks
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Gemma 3n E2B
Average Score:18.4%
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Phi-3.5-MoE-instruct
Average Score:58.1%(+39.6%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
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
0 providers
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Phi-3.5-MoE-instruct
0 providers
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Gemma 3n E2B
Avg Score:18.4%
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:58.1%(+39.6%)
Providers:0