DeepSeek-V3.2-Speciale vs Min istral 3 (3B Reasoning 2512) Comparison
Comparing DeepSeek-V3.2-Speciale and Min istral 3 (3B Reasoning 2512) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Speciale outperforms in 1 benchmarks (AIME 2025), while Min istral 3 (3B Reasoning 2512) is better at 0 benchmarks.
DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 2.8x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 4.2x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
In conclusion, DeepSeek-V3.2-Speciale is more expensive than Min istral 3 (3B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.2-Speciale has 682.0B more parameters than Min istral 3 (3B Reasoning 2512), making it 22733.3% larger.
Context Window
Maximum input and output token capacity
Min istral 3 (3B Reasoning 2512) accepts 131,100 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. Min istral 3 (3B Reasoning 2512) can generate longer responses up to 131,100 tokens, while DeepSeek-V3.2-Speciale is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Min istral 3 (3B Reasoning 2512) supports multimodal inputs, whereas DeepSeek-V3.2-Speciale 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-V3.2-Speciale
Min istral 3 (3B Reasoning 2512)
License
Usage and distribution terms
DeepSeek-V3.2-Speciale 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-V3.2-Speciale was released on 2025-12-01, while Min istral 3 (3B Reasoning 2512) was released on 2025-12-04.
Min istral 3 (3B Reasoning 2512) is 0 month newer than DeepSeek-V3.2-Speciale.
Dec 1, 2025
3 months ago
Dec 4, 2025
3 months ago
3d newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3.2-Speciale is available from DeepSeek. Min istral 3 (3B Reasoning 2512) is available from Mistral AI. The availability of providers can affect quality of the model and reliability.
DeepSeek-V3.2-Speciale
Min istral 3 (3B Reasoning 2512)
Outputs Comparison
Key Takeaways
Detailed Comparison
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