Model Comparison
Gemma 3 27B vs QwQ-32B
QwQ-32B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 27B 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
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
QwQ-32B has 5.5B more parameters than Gemma 3 27B, making it 20.4% larger.
Context Window
Maximum input and output token capacity
Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Gemma 3 27B supports multimodal inputs, whereas QwQ-32B does not.
Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 27B
QwQ-32B
License
Usage and distribution terms
Gemma 3 27B 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 27B was released on 2025-03-12, while QwQ-32B was released on 2025-03-05.
Gemma 3 27B is 0 month newer than QwQ-32B.
Mar 12, 2025
1.1 years ago
1w newerMar 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Gemma 3 27B'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 27B's cutoff date.
—
Nov 2024
Outputs Comparison
Key Takeaways
Gemma 3 27B
View details
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 3 27B vs QwQ-32B