+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Qwen2.5 14B Instruct vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 19.7% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger 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.
5 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 1 common benchmarks
+
+
+
+
Qwen2.5 14B Instruct
Average Score:45.5%
+
+
+
+
QwQ-32B
Average Score:65.2%(+19.7%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
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
+
+
+
+
Qwen2.5 14B Instruct
0 providers
+
+
+
+
QwQ-32B
0 providers
+
+
+
+
Qwen2.5 14B Instruct
Avg Score:45.5%
Providers:0
+
+
+
+
QwQ-32B
Avg Score:65.2%(+19.7%)
Providers:0