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.
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.
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
Cost per million tokens (USD)
DeepSeek-V3.2 Thinking
Kimi K2 Thinking
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2 Thinking
DeepSeek
Kimi K2 Thinking
DeepSeek-V3.2 Thinking
Kimi K2 Thinking
DeepSeek-V3.2 Thinking
Kimi K2 Thinking
Moonshot AI