Kimi K2 Thinking
StandardKimi K2 with always-on extended reasoning for complex problem solving.
MoE model with visible thinking chains. Strong at math, coding, and agentic tasks requiring deep reasoning.
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Kimi K2 Thinking is somewhat expensive at $0.60/M tokens input and $2.50/M tokens output. Cached input reads are priced at $0.15/M tokens, making repeated context cheaper. The model supports extended reasoning, a 262K context window.
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Frequently Asked Questions about Kimi K2 Thinking▼
When was Kimi K2 Thinking released?
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Kimi K2 Thinking was released on November 6, 2025.
Who created Kimi K2 Thinking?
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Kimi K2 Thinking was created by MoonshotAI.
How much does Kimi K2 Thinking cost?
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Kimi K2 Thinking costs $0.60/M input tokens and $2.50/M output tokens.
What is Kimi K2 Thinking API pricing?
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The Kimi K2 Thinking API is priced at $0.60 per million input tokens and $2.50 per million output tokens. You can access Kimi K2 Thinking through idapt.app alongside 200+ other AI models in one workspace.
Is Kimi K2 Thinking a reasoning model?
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Yes, Kimi K2 Thinking is a reasoning model. It can think step-by-step through complex problems before providing an answer, often yielding better results on difficult tasks like math, coding, and multi-step logic.
Does Kimi K2 Thinking support image or vision input?
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No, Kimi K2 Thinking does not currently support image or vision input. It is a text-only model.
Does Kimi K2 Thinking support audio?
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No, Kimi K2 Thinking does not support audio input.
What is the context window of Kimi K2 Thinking?
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Kimi K2 Thinking has a context window of 262K tokens, meaning it can process approximately 196,608 words of context at once.
Is Kimi K2 Thinking open source?
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Kimi K2 Thinking is a proprietary model developed by MoonshotAI. The model weights and training data are not publicly available.
Where can I use Kimi K2 Thinking?
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You can chat with Kimi K2 Thinking on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Kimi K2 Thinking through MoonshotAI's own API or platform.