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DeepSeek-V3.1 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 38.3% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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.
4 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
DeepSeek-V3.1
DeepSeek
2025-01-10
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.1
Average Score:79.3%(+38.3%)
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Phi-3.5-MoE-instruct
Average Score:41.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Phi-3.5-MoE-instruct
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DeepSeek-V3.1
Avg Score:79.3%(+38.3%)
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:41.0%
Providers:0