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Nova Micro vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Nova Micro leads with 2.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Amazon
Amazon Nova Micro was created as an ultra-compact multimodal model, designed for deployment in resource-constrained environments. Built to bring text and image understanding to edge devices and latency-sensitive applications, it extends Amazon's AI capabilities to minimal footprint scenarios.
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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.
2 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Nova Micro
Amazon
2024-11-20
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Nova Micro
Average Score:67.0%(+2.8%)
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Phi-3.5-MoE-instruct
Average Score:64.2%
Provider Availability & Performance
Available providers and their performance metrics
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Nova Micro
1 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
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Phi-3.5-MoE-instruct
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Nova Micro
Avg Score:67.0%(+2.8%)
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:64.2%
Providers:0