Model Comparison
DeepSeek R1 Distill Qwen 14B vs Ministral 3 (14B Reasoning 2512)Which is better in 2026?
Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.
Verdict: DeepSeek R1 Distill Qwen 14B vs Ministral 3 (14B Reasoning 2512) — which is better?
DeepSeek R1 Distill Qwen 14B (by DeepSeek) and Ministral 3 (14B Reasoning 2512) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while Ministral 3 (14B Reasoning 2512) is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench). Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.
Choose DeepSeek R1 Distill Qwen 14B if…
- you are already invested in the DeepSeek ecosystem
Choose Ministral 3 (14B Reasoning 2512) if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Dec 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while Ministral 3 (14B Reasoning 2512) is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench).
Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek R1 Distill Qwen 14B has 0.8B more parameters than Ministral 3 (14B Reasoning 2512), making it 5.7% 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
Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.
Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 14B
Ministral 3 (14B Reasoning 2512)
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Ministral 3 (14B 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 Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.
Ministral 3 (14B Reasoning 2512) is 11 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.4 years ago
Dec 4, 2025
6 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
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 14B vs Ministral 3 (14B Reasoning 2512).