DeepSeek R1 Distill Qwen 14B vs Min istral 3 (3B Reasoning 2512) Comparison
Comparing DeepSeek R1 Distill Qwen 14B and Min istral 3 (3B Reasoning 2512) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 2 benchmarks (AIME 2024, GPQA), while Min istral 3 (3B Reasoning 2512) is better at 1 benchmark (LiveCodeBench).
DeepSeek R1 Distill Qwen 14B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek R1 Distill Qwen 14B has 11.8B more parameters than Min istral 3 (3B Reasoning 2512), making it 393.3% larger.
Context Window
Maximum input and output token capacity
Only Min istral 3 (3B Reasoning 2512) specifies input context (131,100 tokens). Only Min istral 3 (3B Reasoning 2512) specifies output context (131,100 tokens).
Input Capabilities
Supported data types and modalities
Min istral 3 (3B Reasoning 2512) supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.
Min istral 3 (3B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 14B
Min istral 3 (3B Reasoning 2512)
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Min istral 3 (3B Reasoning 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 Distill Qwen 14B was released on 2025-01-20, while Min istral 3 (3B Reasoning 2512) was released on 2025-12-04.
Min istral 3 (3B Reasoning 2512) is 11 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.2 years ago
Dec 4, 2025
3 months ago
10mo 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
Detailed Comparison
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