DeepSeek-V3.2-Speciale vs Mistral Large 3 (675B Instruct 2512 NVFP4) Comparison
Comparing DeepSeek-V3.2-Speciale and Mistral Large 3 (675B Instruct 2512 NVFP4) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Speciale and Mistral Large 3 (675B Instruct 2512 NVFP4) 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-V3.2-Speciale has 10.0B more parameters than Mistral Large 3 (675B Instruct 2512 NVFP4), making it 1.5% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2-Speciale specifies input context (131,072 tokens). Only DeepSeek-V3.2-Speciale specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.
Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Speciale
Mistral Large 3 (675B Instruct 2512 NVFP4)
License
Usage and distribution terms
DeepSeek-V3.2-Speciale is licensed under MIT, while Mistral Large 3 (675B Instruct 2512 NVFP4) 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 (675B Instruct 2512 NVFP4) was released on 2025-12-04.
Mistral Large 3 (675B Instruct 2512 NVFP4) 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.
Outputs Comparison
Key Takeaways
Detailed Comparison
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