+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 Mini Reasoning vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 10.3% higher average benchmark score. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
Phi 4 Mini Reasoning
Average Score:40.8%
+
+
+
+
QwQ-32B-Preview
Average Score:51.2%(+10.3%)
+
+
+
+
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
+
+
+
+
Phi 4 Mini Reasoning
0 providers
+
+
+
+
QwQ-32B-Preview
4 providers
DeepInfra
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:40.8%
Providers:0
+
+
+
+
QwQ-32B-Preview
Avg Score:51.2%(+10.3%)
Providers:4