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Phi 4 Mini vs QwQ-32B
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 25.6% higher average benchmark score. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). 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
Phi 4 Mini
Microsoft
2025-02-01
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Average performance across 23 common benchmarks
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Phi 4 Mini
Average Score:48.3%(+25.6%)
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QwQ-32B
Average Score:22.7%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
QwQ-32B
2024-11-28
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
0 providers
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QwQ-32B
0 providers
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Phi 4 Mini
Avg Score:48.3%(+25.6%)
Providers:0
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QwQ-32B
Avg Score:22.7%
Providers:0