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Gemma 3n E4B Instructed vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 3.0% higher average benchmark score. Phi-3.5-mini-instruct offers 192.0K more tokens in context window than Gemma 3n E4B Instructed. Phi-3.5-mini-instruct is $59.80 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3N E4B IT was created as the instruction-tuned version of Gemma 3N E4B, designed to combine improved capability with edge optimization. Built for applications requiring both responsive instruction-following and edge-friendly efficiency, it serves as a stronger option for on-device AI assistants.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
10 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Gemma 3n E4B Instructed
2025-06-26
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3n E4B Instructed
Input:$20.00
Output:$40.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($59.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Gemma 3n E4B Instructed
Average Score:57.5%(+3.0%)
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Phi-3.5-mini-instruct
Average Score:54.5%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B 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 E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Phi-3.5-mini-instruct
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Gemma 3n E4B Instructed
Avg Score:57.5%(+3.0%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:54.5%
Providers:1