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Phi-3.5-MoE-instruct vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 55.9% higher average benchmark score. Qwen3 32B is available on 3 providers. Overall, Qwen3 32B is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
8 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:37.9%
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Qwen3 32B
Average Score:93.8%(+55.9%)
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-MoE-instruct
0 providers
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Qwen3 32B
3 providers
DeepInfra
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Phi-3.5-MoE-instruct
Avg Score:37.9%
Providers:0
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Qwen3 32B
Avg Score:93.8%(+55.9%)
Providers:3