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Phi-3.5-mini-instruct vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 6.8% higher average benchmark score. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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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.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
Launched on the same date
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
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Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Phi-3.5-mini-instruct
Average Score:58.7%
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Phi-3.5-MoE-instruct
Average Score:65.6%(+6.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-mini-instruct
1 providers
Azure
Throughput: 23 tok/s
Latency: 0.52ms
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Phi-3.5-MoE-instruct
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Phi-3.5-mini-instruct
Avg Score:58.7%
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:65.6%(+6.8%)
Providers:0