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Llama 3.2 3B Instruct vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 9.8% higher average benchmark score. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
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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.
1 month newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Llama 3.2 3B Instruct
Meta
2024-09-25
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Llama 3.2 3B Instruct
Average Score:61.2%
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Phi-3.5-MoE-instruct
Average Score:71.1%(+9.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Phi-3.5-MoE-instruct
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Llama 3.2 3B Instruct
Avg Score:61.2%
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:71.1%(+9.8%)
Providers:0