Model Comparison
Gemma 3 27B vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 27B outperforms in 1 benchmarks (MATH), while Qwen2.5 32B Instruct is better at 4 benchmarks (GPQA, HumanEval, MBPP, MMLU-Pro).
Qwen2.5 32B Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen2.5 32B Instruct 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 Qwen2.5 32B Instruct 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
Qwen2.5 32B Instruct
License
Usage and distribution terms
Gemma 3 27B is licensed under Gemma, while Qwen2.5 32B Instruct 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 Qwen2.5 32B Instruct was released on 2024-09-19.
Gemma 3 27B is 6 months newer than Qwen2.5 32B Instruct.
Mar 12, 2025
1.2 years ago
5mo newerSep 19, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Gemma 3 27B
View details
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 3 27B vs Qwen2.5 32B Instruct.