+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 Mini vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 42.8% higher average benchmark score. QwQ-32B-Preview is available on 4 providers. Overall, Phi 4 Mini is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
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.
2 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Phi 4 Mini
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
+
+
+
+
Phi 4 Mini
Average Score:55.5%(+42.8%)
+
+
+
+
QwQ-32B-Preview
Average Score:12.8%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
QwQ-32B-Preview
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Phi 4 Mini
0 providers
+
+
+
+
QwQ-32B-Preview
4 providers
DeepInfra
+
+
+
+
Phi 4 Mini
Avg Score:55.5%(+42.8%)
Providers:0
+
+
+
+
QwQ-32B-Preview
Avg Score:12.8%
Providers:4