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Mistral Small vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small was created as an efficient model offering, designed to provide capable language understanding with reduced computational requirements. Built to serve cost-sensitive applications while maintaining quality, it enables Mistral's technology in scenarios where resource efficiency is valued.
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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.
25 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Mistral Small
Mistral AI
2024-09-17
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Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Phi-3.5-MoE-instruct
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Mistral Small
Avg Score:0.0%
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:0.0%
Providers:0