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Phi 4 Mini Reasoning vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 39.8% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 8 common benchmarks
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Phi 4 Mini Reasoning
Average Score:25.5%
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QwQ-32B
Average Score:65.3%(+39.8%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
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
0 providers
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Phi 4 Mini Reasoning
Avg Score:25.5%
Providers:0
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QwQ-32B
Avg Score:65.3%(+39.8%)
Providers:0