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Kimi.ai
Moonshot AI's Kimi platform serves the K2 model family: sparse MoE architecture, 1T total parameters, 32B active per token, trained on 15.5T tokens using the MuonClip optimizer. Models support 256K token contexts, native multimodal input, and agentic tool-calling. Open weights (Modified MIT) deployable via vLLM or SGLang; OpenAI/Anthropic-compatible API available.
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AGENT FRAMEWORKSCOMPUTER USEMULTI AGENT
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