+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3 12B vs QwQ-32B
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 36.7% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
+
+
+
+
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
7 days newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Gemma 3 12B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
+
+
+
+
Gemma 3 12B
Average Score:54.1%(+36.7%)
+
+
+
+
QwQ-32B
Average Score:17.4%
+
+
+
+
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 3 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
+
+
+
+
QwQ-32B
+
+
+
+
Gemma 3 12B
Avg Score:54.1%(+36.7%)
Providers:1
+
+
+
+
QwQ-32B
Avg Score:17.4%
Providers:0