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DeepSeek-V3.2-Exp vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 41.4% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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 year newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:82.5%(+41.4%)
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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-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Phi-3.5-MoE-instruct
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DeepSeek-V3.2-Exp
Avg Score:82.5%(+41.4%)
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:41.0%
Providers:0