Model Comparison
Phi-3.5-MoE-instruct vs Qwen3 32B
Qwen3 32B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (Arena Hard).
Qwen3 32B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Phi-3.5-MoE-instruct has 27.2B more parameters than Qwen3 32B, making it 82.9% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).
License
Usage and distribution terms
Phi-3.5-MoE-instruct is licensed under MIT, while Qwen3 32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen3 32B was released on 2025-04-29.
Qwen3 32B is 8 months newer than Phi-3.5-MoE-instruct.
Aug 23, 2024
1.8 years ago
Apr 29, 2025
1.1 years ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Phi-3.5-MoE-instruct
View detailsMicrosoft
No standout differentiators in the data we have for this pair.
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Phi-3.5-MoE-instruct vs Qwen3 32B.