Model Comparison
Phi 4 Mini Reasoning vs QwQ-32B
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 Mini Reasoning outperforms in 1 benchmarks (MATH-500), while QwQ-32B is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
QwQ-32B has 28.7B more parameters than Phi 4 Mini Reasoning, making it 755.3% larger.
License
Usage and distribution terms
Phi 4 Mini Reasoning is licensed under MIT, while QwQ-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 4 Mini Reasoning was released on 2025-04-30, while QwQ-32B was released on 2025-03-05.
Phi 4 Mini Reasoning is 2 months newer than QwQ-32B.
Apr 30, 2025
11 months ago
1mo newerMar 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Phi 4 Mini Reasoning has a knowledge cutoff of 2025-02-01, while QwQ-32B has a cutoff of 2024-11-28.
Phi 4 Mini Reasoning has more recent training data (up to 2025-02-01), making it potentially better informed about events through that date compared to QwQ-32B (2024-11-28).
Feb 2025
3 mo newerNov 2024
Outputs Comparison
Key Takeaways
Phi 4 Mini Reasoning
View detailsMicrosoft
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Phi 4 Mini Reasoning vs QwQ-32B