Devstral Small 1.1 vs Ministral 3 (14B Base 2512) Comparison
Comparing Devstral Small 1.1 and Ministral 3 (14B Base 2512) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Small 1.1 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
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Devstral Small 1.1 has 10.0B more parameters than Ministral 3 (14B Base 2512), making it 71.4% larger.
Context Window
Maximum input and output token capacity
Only Devstral Small 1.1 specifies input context (128,000 tokens). Only Devstral Small 1.1 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Ministral 3 (14B Base 2512) supports multimodal inputs, whereas Devstral Small 1.1 does not.
Ministral 3 (14B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
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
Devstral Small 1.1 was released on 2025-07-11, while Ministral 3 (14B Base 2512) was released on 2025-12-04.
Ministral 3 (14B Base 2512) is 5 months newer than Devstral Small 1.1.
Jul 11, 2025
8 months ago
Dec 4, 2025
3 months 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
Devstral Small 1.1
View detailsMistral AI
Ministral 3 (14B Base 2512)
View detailsMistral AI
Detailed Comparison
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