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Gemma 3 1B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 21.9% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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Gemma 3 1B was created as an ultra-lightweight open-source model, designed to enable AI capabilities on devices with limited resources. Built with just 1 billion parameters while maintaining instruction-following abilities, it serves edge computing, mobile applications, and scenarios where minimal footprint is essential.
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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.
6 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Gemma 3 1B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemma 3 1B
Average Score:37.2%
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Phi-3.5-mini-instruct
Average Score:59.1%(+21.9%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 1B
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Gemma 3 1B
Avg Score:37.2%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:59.1%(+21.9%)
Providers:1