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DeepSeek-V3.2-Speciale vs Kimi K2 Thinking
Comprehensive side-by-side LLM comparison
Kimi K2 Thinking offers 128.2K more tokens in context window than DeepSeek-V3.2-Speciale. DeepSeek-V3.2-Speciale is $3.63 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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.
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Moonshot AI
Kimi K2 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
25 days newer
Kimi K2 Thinking
Moonshot AI
2025-11-06
DeepSeek-V3.2-Speciale
DeepSeek
2025-12
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Speciale
Input:$0.27
Output:$1.10($3.63 cheaper)
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Kimi K2 Thinking
Input:$1.00
Output:$4.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Speciale
1 providers
DeepSeek
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Kimi K2 Thinking
1 providers
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DeepSeek-V3.2-Speciale
Avg Score:0.0%
Providers:1
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Kimi K2 Thinking
Avg Score:0.0%
Providers:1