Model Comparison
Gemma 3 12B vs QwQ-32B
QwQ-32B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 12B outperforms in 1 benchmarks (IFEval), while QwQ-32B is better at 2 benchmarks (GPQA, LiveCodeBench).
QwQ-32B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
QwQ-32B has 20.5B more parameters than Gemma 3 12B, making it 170.8% larger.
Context Window
Maximum input and output token capacity
Only Gemma 3 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Gemma 3 12B supports multimodal inputs, whereas QwQ-32B does not.
Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 12B
QwQ-32B
License
Usage and distribution terms
Gemma 3 12B is licensed under Gemma, while QwQ-32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 3 12B was released on 2025-03-12, while QwQ-32B was released on 2025-03-05.
Gemma 3 12B is 0 month newer than QwQ-32B.
Mar 12, 2025
1.2 years ago
1w newerMar 5, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Gemma 3 12B's cutoff date is not specified.
We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Gemma 3 12B's cutoff date.
—
Nov 2024
Outputs Comparison
Key Takeaways
Gemma 3 12B
View details
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 3 12B vs QwQ-32B.