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Moonshot (Kimi)

Moonshot AI develops the Kimi series of models, specializing in long-context understanding. Based in China, Moonshot has gained recognition for its strong performance on long-document tasks. The API uses an OpenAI-compatible format with Bearer authentication.

Getting an API Key​

  1. Visit platform.moonshot.cn/console/api-keys
  2. Sign in or create a Moonshot account
  3. Generate a new API key (starts with sk-...)
  4. Paste the key into AISCouncil under Settings > AI Model > Moonshot
Warnung

Moonshot does not offer a free API tier. All usage is pay-as-you-go. See the Moonshot platform for current pricing.

API keys are stored locally in your browser (localStorage) and are never included in shared bot URLs.

Supported Models​

ModelContextMax OutputInput PriceOutput PriceCapabilities
Moonshot v1 128K128K4K$0.84/MTok$0.84/MTokStreaming
Moonshot v1 32K32K4K$0.34/MTok$0.34/MTokStreaming

Prices are per million tokens (MTok). Both models have equal input and output pricing.

Choosing a Model
  • Moonshot v1 128K is the primary model -- use it when you need the full 128K context window for long documents.
  • Moonshot v1 32K is more affordable and sufficient for shorter conversations and tasks.

Long Context Specialist​

Moonshot's Kimi models are specifically optimized for long-context understanding. With a 128K context window and competitive pricing, Moonshot v1 128K is well-suited for:

  • Analyzing long documents, reports, or articles
  • Summarizing extensive text
  • Question-answering over large bodies of text

Configuration​

Select Moonshot as the provider when creating a bot profile. The app connects to api.moonshot.cn/v1 using the OpenAI-compatible format with Bearer authentication.

Tips for Best Results​

  • Use Moonshot for long-document tasks in Chinese and English. The models are optimized for both languages and handle long input efficiently.
  • Choose the 32K model when context needs are modest. It costs less than half the price of the 128K model for the same quality on shorter inputs.
  • Note that tool calling is not supported. If your workflow requires function/tool calling, consider pairing Moonshot with another provider in a council.