Moonshot AI to Open-Source the 280B-Parameter Kimi K3 Model; China’s Open-Weight Models Now Account for 68% of Token Usage

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Moonshot AI announced the open-source release of its Kimi K3 model, featuring 280 billion parameters and a 1 million token context window. Developers can now download and deploy the model in private or cloud environments. Daily revenue surged sixfold following the launch. The company is seeking new funding at a $50 billion valuation and may file for a Hong Kong IPO this year. AI and crypto news highlights the growing influence of open-weight models in China, which now account for 68% of token usage. New token listings may benefit from this shift in AI infrastructure. Major global cloud platforms have yet to integrate these models.

Odaily Planet Daily reports that Chinese AI startup Moonshot AI will release the model weights of its high-performance model, Kimi K3, allowing developers to download, modify for specific use cases, and run the model on their own data centers or cloud environments.

Kimi K3 features 2.8 trillion parameters and a 1 million token context window, enabling it to process large-scale documents and codebases in a single pass. Moonshot AI plans to publicly disclose the model architecture, training methodology, and performance evaluation results in a subsequent technical report.

After the release of Kimi K3, Moonshot AI's daily revenue is reported to have increased by at least sixfold. Moonshot AI is advancing plans for a new funding round at a $50 billion valuation and is considering an IPO in Hong Kong as early as this year.

Bloomberg Intelligence stated that after the release of Kimi K3 and Z.AI’s GLM-5.2, the share of Chinese open-weight models in overall token usage rose to 68%. AWS Bedrock, Microsoft Azure Foundry, and Google Vertex AI have not yet offered Chinese open-weight models such as Kimi K3 and GLM-5.2.

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