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DeepSeek-V3.2 Thinking 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 Thinking. DeepSeek-V3.2 Thinking is $2.26 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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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.
1 month newer
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Kimi K2 Thinking
Moonshot AI
2025-11-06
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2 Thinking
Input:$0.55
Output:$2.19($2.26 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 Thinking
1 providers
DeepSeek
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Kimi K2 Thinking
1 providers
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DeepSeek-V3.2 Thinking
Avg Score:0.0%
Providers:1
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Kimi K2 Thinking
Avg Score:0.0%
Providers:1