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Phi 4 Mini Reasoning vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 4.6% higher average benchmark score. QwQ-32B-Preview is available on 4 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
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
5 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Phi 4 Mini Reasoning
Average Score:73.3%
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QwQ-32B-Preview
Average Score:77.9%(+4.6%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
2024-11-28
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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QwQ-32B-Preview
4 providers
DeepInfra
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Phi 4 Mini Reasoning
Avg Score:73.3%
Providers:0
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QwQ-32B-Preview
Avg Score:77.9%(+4.6%)
Providers:4