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DeepSeek-V3.2 vs DeepSeek-V3.2-Speciale
Comprehensive side-by-side LLM comparison
Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks under an open MIT license.
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DeepSeek
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 with 685 billion total parameters, made available for a limited period in December 2025. It was released without tool-calling support but demonstrated exceptional reasoning performance, achieving gold-medal results in the 2025 IMO and IOI competitions. DeepSeek-V3.2-Speciale targets research and benchmarking use cases requiring maximum reasoning capability under an MIT license.
Launched on the same date
DeepSeek-V3.2
DeepSeek
2025-12-01
DeepSeek-V3.2-Speciale
DeepSeek
2025-12
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2
Input:$0.27
Output:$1.10
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DeepSeek-V3.2-Speciale
Input:$0.27
Output:$1.10
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2
1 providers
DeepSeek
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DeepSeek-V3.2-Speciale
1 providers
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DeepSeek-V3.2
Avg Score:0.0%
Providers:1
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DeepSeek-V3.2-Speciale
Avg Score:0.0%
Providers:1