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Gemma 3n E2B Instructed vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 28.2% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-mini-instruct
Microsoft
2024-08-23
Gemma 3n E2B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 43 common benchmarks
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Gemma 3n E2B Instructed
Average Score:14.1%
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Phi-3.5-mini-instruct
Average Score:42.3%(+28.2%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
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 Instructed
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Gemma 3n E2B Instructed
Avg Score:14.1%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:42.3%(+28.2%)
Providers:1