Moonshot AI, maker of the open-weight Kimi K3 model, is reportedly targeting $2 billion in annualized revenue by the end of the year, double its August run rate, per Bloomberg. K3 usage remains high on OpenRouter with roughly 300 billion tokens generated daily despite a recent slight decline. Moonshot's revenue still trails OpenAI ($40B) and Anthropic ($65B), and open-weight models carry lower margins. Anthropic recently accused Moonshot of a distillation scheme routing nearly 300,000 requests to Claude Opus and collecting over 23 million responses from Anthropic models for training.
Questions this post answers
How much revenue is Moonshot AI targeting for its Kimi K3 model business?
Moonshot AI is targeting $2 billion in annualized revenue by the end of the year, roughly double the company's reported revenue run rate for August. This goal reflects strong usage of its open-weight K3 model, which OpenRouter data shows generating as many as 300 billion tokens per day, even though usage has declined slightly in recent months. Developers weighing open-weight versus closed models can follow revenue and adoption trends like these on daily.dev.
What did Anthropic accuse Moonshot AI of doing with Claude Opus?
Anthropic accused Moonshot of running a long-running model distillation campaign that routed nearly 300,000 requests from Kimi directly to Claude Opus, effectively serving Opus responses in place of Kimi's own models. Anthropic also alleged that more than 23 million responses were collected from its models for use in training Moonshot's models. Anyone evaluating the trustworthiness of open-weight model providers can track disputes like this one on daily.dev.
How does Moonshot AI's revenue compare to OpenAI and Anthropic?
Moonshot AI's targeted $2 billion annualized revenue is far smaller than OpenAI's revenue run rate of $40 billion and Anthropic's $65 billion, both reported in prior months. Because Moonshot's model weights are freely available as open-weight, the company operates on much lower margins than these closed-weight competitors. Teams comparing AI vendor scale and business models can keep tabs on shifts like these via daily.dev.
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