Model Comparison
Ministral 3 (14B Base 2512) vs Qwen2.5 VL 7B Instruct
Comparing Ministral 3 (14B Base 2512) and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (14B Base 2512) and Qwen2.5 VL 7B 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
Ministral 3 (14B Base 2512) has 5.7B more parameters than Qwen2.5 VL 7B Instruct, making it 68.9% larger.
Input Capabilities
Supported data types and modalities
Both Ministral 3 (14B Base 2512) and Qwen2.5 VL 7B 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 7B Instruct
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Ministral 3 (14B Base 2512) was released on 2025-12-04, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.
Ministral 3 (14B Base 2512) is 10 months newer than Qwen2.5 VL 7B Instruct.
Dec 4, 2025
4 months ago
10mo newerJan 26, 2025
1.2 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 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Ministral 3 (14B Base 2512) vs Qwen2.5 VL 7B Instruct