by Moonshot AI
Kimi-K2 is a MoE architecture foundational model with extremely powerful coding and agent capabilities, featuring a total of 1 trillion parameters and activating 32 billion parameters. In benchmark performance tests across major categories such as general knowledge reasoning, programming, mathematics, and agents, the K2 model outperforms other mainstream open-source models. The Kimi-K2 model supports a context length of 128k tokens. It does not support visual capabilities.
Kimi-K2 is a MoE architecture foundational model with extremely powerful coding and agent capabilities, featuring a total of 1 trillion parameters and activating 32 billion parameters. In benchmark performance tests across major categories such as general knowledge reasoning, programming, mathematics, and agents, the K2 model outperforms other mainstream open-source models. The Kimi-K2 model supports a context length of 128k tokens. It does not support visual capabilities.
kimi-k2-0711 has a 131,000 token context window.
On AIHubMix, kimi-k2-0711 costs $0.54 per million input tokens and $2.16 per million output tokens.
kimi-k2-0711 accepts text input.
kimi-k2-0711 supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
kimi-k2-0711 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-k2-0711 — no other code changes needed.
kimi-k2-0711 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-k2-0711 via the AIHubMix unified API — one interface for every major LLM.