Model Comparison
Gemma 3 12B vs Qwen2.5-Omni-7B
Gemma 3 12B has a slight edge in benchmark performance.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 12B outperforms in 6 benchmarks (AI2D, GPQA, GSM8k, HumanEval, MATH, MMLU-Pro), while Qwen2.5-Omni-7B is better at 4 benchmarks (ChartQA, DocVQA, MBPP, TextVQA).
Gemma 3 12B has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Gemma 3 12B has 5.0B more parameters than Qwen2.5-Omni-7B, making it 71.4% 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
Both Gemma 3 12B and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 12B
Qwen2.5-Omni-7B
License
Usage and distribution terms
Gemma 3 12B is licensed under Gemma, while Qwen2.5-Omni-7B 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-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 1 month newer than Gemma 3 12B.
Mar 12, 2025
1.2 years ago
Mar 27, 2025
1.2 years ago
2w newerKnowledge 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-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about Gemma 3 12B vs Qwen2.5-Omni-7B.