DeepSeek-V3.2-Speciale vs Mistral Large 3 Comparison
Comparing DeepSeek-V3.2-Speciale and Mistral Large 3 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Speciale and Mistral Large 3 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
For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 7.1x cheaper than Mistral Large 3 ($2.00/1M tokens).
For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 11.9x cheaper than Mistral Large 3 ($5.00/1M tokens).
In conclusion, Mistral Large 3 is more expensive than DeepSeek-V3.2-Speciale.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.2-Speciale has 10.0B more parameters than Mistral Large 3, making it 1.5% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3.2-Speciale accepts 131,072 input tokens compared to Mistral Large 3's 128,000 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while Mistral Large 3 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Mistral Large 3 supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.
Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Speciale
Mistral Large 3
License
Usage and distribution terms
DeepSeek-V3.2-Speciale is licensed under MIT, while Mistral Large 3 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 Mistral Large 3 was released on 2025-09-01.
DeepSeek-V3.2-Speciale is 3 months newer than Mistral Large 3.
Dec 1, 2025
3 months ago
3mo newerSep 1, 2025
6 months ago
Knowledge 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. Mistral Large 3 is available from Mistral AI. The availability of providers can affect quality of the model and reliability.
DeepSeek-V3.2-Speciale
Mistral Large 3
Outputs Comparison
Key Takeaways
Mistral Large 3
View detailsMistral AI
Detailed Comparison
| Feature | | |
|---|