DeepSeek-V3 vs DeepSeek-V3.2-Speciale Comparison
Comparing DeepSeek-V3 and DeepSeek-V3.2-Speciale across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 outperforms in 0 benchmarks, while DeepSeek-V3.2-Speciale is better at 1 benchmark (SWE-Bench Verified).
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 ($0.27/1M tokens) is 1.0x cheaper than DeepSeek-V3.2-Speciale ($0.28/1M tokens).
For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.6x more expensive than DeepSeek-V3.2-Speciale ($0.42/1M tokens).
In conclusion, DeepSeek-V3 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 14.0B more parameters than DeepSeek-V3, making it 2.1% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while DeepSeek-V3.2-Speciale uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 was released on 2024-12-25, while DeepSeek-V3.2-Speciale was released on 2025-12-01.
DeepSeek-V3.2-Speciale is 11 months newer than DeepSeek-V3.
Dec 25, 2024
1.2 years ago
Dec 1, 2025
3 months ago
11mo 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 is available from DeepSeek. DeepSeek-V3.2-Speciale is available from DeepSeek. The availability of providers can affect quality of the model and reliability.
DeepSeek-V3
DeepSeek-V3.2-Speciale
Outputs Comparison
Key Takeaways
DeepSeek-V3
View detailsDeepSeek
Detailed Comparison
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