+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 18.5% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
+
+
+
+
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
+
+
+
+
Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
2 months newer
Phi 4
Microsoft
2024-12-12
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
Phi 4
Average Score:55.6%
+
+
+
+
QwQ-32B
Average Score:74.1%(+18.5%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4
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
+
+
+
+
Phi 4
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
+
+
+
+
QwQ-32B
+
+
+
+
Phi 4
Avg Score:55.6%
Providers:1
+
+
+
+
QwQ-32B
Avg Score:74.1%(+18.5%)
Providers:0