DeepSeek-R1-0528 vs MiniStral 3 (14B Instruct 2512) Comparison
Comparing DeepSeek-R1-0528 and MiniStral 3 (14B Instruct 2512) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1-0528 and MiniStral 3 (14B Instruct 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
DeepSeek-R1-0528 has 657.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 4692.9% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas DeepSeek-R1-0528 does not.
MiniStral 3 (14B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1-0528
MiniStral 3 (14B Instruct 2512)
License
Usage and distribution terms
DeepSeek-R1-0528 is licensed under MIT, while MiniStral 3 (14B Instruct 2512) uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-R1-0528 was released on 2025-05-28, while MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.
MiniStral 3 (14B Instruct 2512) is 6 months newer than DeepSeek-R1-0528.
May 28, 2025
9 months ago
Dec 4, 2025
3 months ago
6mo 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
DeepSeek-R1-0528
View detailsDeepSeek
Detailed Comparison
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