by Moonshot AI
Kimi K2 Thinking is Moonshot AI's most advanced open-source inference model to date, extending the K2 series into intelligent agent and long-context inference domains. The model is built on the trillion-parameter mixture of experts (MoE) architecture introduced by Kimi K2, activating 32 billion parameters per forward pass and supporting a context window of 256,000 tokens.
Kimi K2 Thinking is Moonshot AI's most advanced open-source inference model to date, extending the K2 series into intelligent agent and long-context inference domains. The model is built on the trillion-parameter mixture of experts (MoE) architecture introduced by Kimi K2, activating 32 billion parameters per forward pass and supporting a context window of 256,000 tokens.
kimi-k2-thinking has a 262,144 token context window.
On AIHubMix, kimi-k2-thinking costs $0.55 per million input tokens and $2.19 per million output tokens. Cached input reads are billed at $0.14 per million tokens.
kimi-k2-thinking accepts text input.
kimi-k2-thinking supports thinking, tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
kimi-k2-thinking is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to kimi-k2-thinking — no other code changes needed.
kimi-k2-thinking is developed by Moonshot AI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use kimi-k2-thinking via the AIHubMix unified API — one interface for every major LLM.