Model Comparison
Ministral 3 (14B Reasoning 2512) vs Ministral 3 (14B Base 2512)
Comparing Ministral 3 (14B Reasoning 2512) and Ministral 3 (14B Base 2512) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (14B Reasoning 2512) and Ministral 3 (14B Base 2512) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Ministral 3 (14B Base 2512) has 0.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 0.0% larger.
Context Window
Maximum input and output token capacity
Only Ministral 3 (14B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (14B Reasoning 2512) specifies output context (262,100 tokens).
Input Capabilities
Supported data types and modalities
Both Ministral 3 (14B Reasoning 2512) and Ministral 3 (14B Base 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Ministral 3 (14B Reasoning 2512)
Ministral 3 (14B Base 2512)
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
Both models were released on 2025-12-04.
They likely represent similar generations of model development.
Dec 4, 2025
5 months ago
Dec 4, 2025
5 months 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
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Ministral 3 (14B Reasoning 2512) vs Ministral 3 (14B Base 2512).