+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi-3.5-MoE-instruct vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 28.4% 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-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
+
+
+
+
Alibaba Cloud / Qwen Team
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
3 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:36.8%
+
+
+
+
QwQ-32B-Preview
Average Score:65.2%(+28.4%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
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-3.5-MoE-instruct
0 providers
+
+
+
+
QwQ-32B-Preview
4 providers
DeepInfra
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0
+
+
+
+
QwQ-32B-Preview
Avg Score:65.2%(+28.4%)
Providers:4