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Phi 4 Mini Reasoning vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
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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.
1 days newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4 Mini Reasoning
0 providers
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Qwen3 32B
3 providers
DeepInfra
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Phi 4 Mini Reasoning
Avg Score:0.0%
Providers:0
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Qwen3 32B
Avg Score:0.0%
Providers:3