+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 2 27B vs QwQ-32B
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 25.4% higher average benchmark score. Overall, Gemma 2 27B is the stronger choice for coding tasks.
+
+
+
+
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
+
+
+
+
Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Gemma 2 27B
2024-06-27
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Average performance across 23 common benchmarks
+
+
+
+
Gemma 2 27B
Average Score:48.1%(+25.4%)
+
+
+
+
QwQ-32B
Average Score:22.7%
+
+
+
+
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
+
+
+
+
Gemma 2 27B
0 providers
+
+
+
+
QwQ-32B
0 providers
+
+
+
+
Gemma 2 27B
Avg Score:48.1%(+25.4%)
Providers:0
+
+
+
+
QwQ-32B
Avg Score:22.7%
Providers:0