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Gemma 2 27B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 2.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemma 2 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
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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.
1 month newer
Gemma 2 27B
2024-06-27
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Gemma 2 27B
Average Score:69.9%
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Phi-3.5-mini-instruct
Average Score:72.0%(+2.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Gemma 2 27B
Avg Score:69.9%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:72.0%(+2.1%)
Providers:1