Model Comparison
Gemma 3 12B vs Qwen2.5 14B Instruct
Qwen2.5 14B Instruct shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 12B outperforms in 2 benchmarks (HumanEval, MATH), while Qwen2.5 14B Instruct is better at 4 benchmarks (GPQA, GSM8k, MBPP, MMLU-Pro).
Qwen2.5 14B Instruct 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
Qwen2.5 14B Instruct has 2.7B more parameters than Gemma 3 12B, making it 22.5% 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 Qwen2.5 14B Instruct 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
Qwen2.5 14B Instruct
License
Usage and distribution terms
Gemma 3 12B is licensed under Gemma, while Qwen2.5 14B 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 12B was released on 2025-03-12, while Qwen2.5 14B Instruct was released on 2024-09-19.
Gemma 3 12B is 6 months newer than Qwen2.5 14B Instruct.
Mar 12, 2025
1.1 years ago
5mo newerSep 19, 2024
1.6 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 12B
View details
Qwen2.5 14B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 3 12B vs Qwen2.5 14B Instruct