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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 19.8% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, 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.
1 month newer
Gemma 2 27B
2024-06-27
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 36 common benchmarks
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Gemma 2 27B
Average Score:30.7%
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Phi-3.5-mini-instruct
Average Score:50.6%(+19.8%)
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:30.7%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:50.6%(+19.8%)
Providers:1