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Moonshot AI's Kimi to Complete $3.5 Billion New Funding Round

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88Z AI, 30 July — Moonshot AI's Kimi has completed a new funding round, raising $3.5 billion and reaching a valuation of $35 billion, while seeking new financing with a pre-money valuation of approximately $50 billion. Kimi open-sourced the K3 model weights on Hugging Face, featuring 2.8 trillion total parameters and 104 billion activated parameters, making it the world's first open-source model at the 3-trillion-parameter level. Based on MoE architecture, K3 has been adapted by multiple platforms and is priced s

At a glance

  • Kimi completed a $3.5 billion funding round at a $35 billion valuation and is seeking new financing at a ~$50 billion pre-money valuation.
  • The open-source K3 model is the world's first 3-trillion-parameter MoE architecture model, priced on par with Claude Sonnet 5.
Cover image for Moonshot AI's Kimi to Complete $3.5 Billion New Funding Round
Cover image for Moonshot AI's Kimi to Complete $3.5 Billion New Funding Round

The update

Kimi, under Moonshot AI, has completed a new round of financing, successfully raising $3.5 billion and achieving a current valuation of $35 billion. Meanwhile, the company is actively seeking new funding opportunities, targeting a pre-money valuation of approximately $50 billion. In terms of technical progress, Kimi has open-sourced the weights of the K3 model on the Hugging Face platform. The model features a total of 2.8 trillion parameters with 104 billion activated parameters, becoming the world's first open-source model to reach the 3-trillion-parameter level. K3 adopts a Mixture of Experts (MoE) architecture, and multiple platforms have announced completion of adaptation work. In terms of pricing strategy, K3's standard price remains on par with Claude Sonnet 5, demonstrating its balance between high performance and cost-effectiveness.

Sources & editorial note

This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.

  1. 第一财经Source published

Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.

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