Model Comparison
Gemma 2 9B vs Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 2 9B outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 4 benchmarks (HumanEval, MATH, MBPP, MMLU).
Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5 VL 32B Instruct has 24.3B more parameters than Gemma 2 9B, making it 262.6% larger.
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Gemma 2 9B does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 2 9B
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Gemma 2 9B is licensed under Gemma, while Qwen2.5 VL 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 2 9B was released on 2024-06-27, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 8 months newer than Gemma 2 9B.
Jun 27, 2024
1.8 years ago
Feb 28, 2025
1.1 years ago
8mo 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 2 9B
View details
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 2 9B vs Qwen2.5 VL 32B Instruct