Ministral 3 (14B Base 2512) vs Qwen2.5 VL 72B Instruct Comparison
Comparing Ministral 3 (14B Base 2512) and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (14B Base 2512) 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 58.0B more parameters than Ministral 3 (14B Base 2512), making it 414.3% larger.
Input Capabilities
Supported data types and modalities
Both Ministral 3 (14B Base 2512) and Qwen2.5 VL 72B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Ministral 3 (14B Base 2512)
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
Ministral 3 (14B Base 2512) 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
Ministral 3 (14B Base 2512) was released on 2025-12-04, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
Ministral 3 (14B Base 2512) is 10 months newer than Qwen2.5 VL 72B Instruct.
Dec 4, 2025
3 months ago
10mo newerJan 26, 2025
1.1 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
Ministral 3 (14B Base 2512)
View detailsMistral AI
Qwen2.5 VL 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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