Model Comparison
Qwen2.5 32B Instruct vs Qwen2.5 VL 72B Instruct
Comparing Qwen2.5 32B Instruct and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5 32B Instruct and Qwen2.5 VL 72B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5 VL 72B Instruct has 39.5B more parameters than Qwen2.5 32B Instruct, making it 121.5% larger.
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
Qwen2.5 VL 72B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5 32B Instruct
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
Qwen2.5 32B Instruct is licensed under Apache 2.0, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
Qwen2.5 32B Instruct was released on 2024-09-19, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
Qwen2.5 VL 72B Instruct is 4 months newer than Qwen2.5 32B Instruct.
Sep 19, 2024
1.6 years ago
Jan 26, 2025
1.2 years ago
4mo 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
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature |
|---|
FAQ
Common questions about Qwen2.5 32B Instruct vs Qwen2.5 VL 72B Instruct