Model Comparison
Gemma 3 4B vs QwQ-32B
QwQ-32B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 4B 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 28.5B more parameters than Gemma 3 4B, making it 712.5% larger.
Context Window
Maximum input and output token capacity
Only Gemma 3 4B specifies input context (131,072 tokens). Only Gemma 3 4B specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Gemma 3 4B supports multimodal inputs, whereas QwQ-32B does not.
Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 4B
QwQ-32B
License
Usage and distribution terms
Gemma 3 4B 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 4B was released on 2025-03-12, while QwQ-32B was released on 2025-03-05.
Gemma 3 4B 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
Gemma 3 4B has a knowledge cutoff of 2024-08-01, while QwQ-32B has a cutoff of 2024-11-28.
QwQ-32B has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to Gemma 3 4B (2024-08-01).
Aug 2024
Nov 2024
3 mo newerOutputs Comparison
Key Takeaways
Gemma 3 4B
View details
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 3 4B vs QwQ-32B.