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Gemma 3n E4B Instructed vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 5.3% higher average benchmark score. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). 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 2024, it represents Microsoft's latest advancement in AI technology.
10 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Gemma 3n E4B Instructed
Average Score:28.0%(+5.3%)
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Phi-3.5-vision-instruct
Average Score:22.8%
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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-vision-instruct
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Gemma 3n E4B Instructed
Avg Score:28.0%(+5.3%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:22.8%
Providers:0