Technology

Microsoft considers Kimi K3 for Copilot to save up to $600m

The model could supplement OpenAI and Anthropic systems for selected tasks, but no migration has been announced.

Aerial view of Microsoft’s west campus in Redmond

Microsoft is considering Moonshot AI’s Kimi K3 model for some Copilot workloads. An internal estimate suggests it could save up to $600 million in computing costs.

The company is also working to make Kimi K3 available through its Azure cloud platform. This is an evaluation and access-preparation effort, not an announced migration of Copilot to the model.

Microsoft’s interest is tied to inference costs — the computing required to process user requests. A cheaper model could be particularly relevant to Copilot Cowork, where pricing depends on the number of tokens actually used.

Kimi K3 is a multimodal open-weight model. Available technical descriptions list 2.8 trillion parameters and a context window of about 1 million tokens.

The model is being considered as a possible supplement to OpenAI and Anthropic systems for selected use cases. There is no confirmation that Microsoft will abandon its current providers or has formed a partnership with Moonshot AI.

Rustam AbduazizovРедактор