Moonshot AI’s Kimi K3.1 Pro comes to Microsoft Foundry

The hardest work for an AI agent rarely fits into a single prompt. A coding agent may need to follow a change across a large repository. A research agent may need to work through lengthy documents, charts, and images before it can give a useful answer. In both cases, the challenge is not just generating a response, but keeping track of the work as it unfolds 

Today, Moonshot AI’s Kimi K3.1 Pro is coming to Microsoft Foundry. It is an open-weight model built for agentic work, with text and image understanding and a context window of up to 1 million tokens. That combination makes it an interesting choice for developers building coding, research, and document-heavy applications. 

Where Kimi K3.1 Pro stands out 

Kimi K3.1 Pro is the first model in Moonshot AI’s K3.1 series. It builds on Kimi K3 with improvements across coding, research, and other multi-step tasks. Its large context window gives applications room to bring more relevant material into a task, while its multimodal capabilities let the model work with images alongside text. 

That opens up practical possibilities: 

• Coding across a larger body of work. Give an agent the context it needs to investigate a change, understand related files, and work through an engineering task. 

• Research grounded in source material. Bring lengthy reports and supporting material into a workflow so the model can examine the evidence before producing a synthesis. 

• Work that combines text and visuals. Build applications that need to interpret images, charts, or document pages as part of a broader task. 

A large context window is useful, but it is not a shortcut to a good application. What matters is whether the model can use that context effectively, complete the task, and do so at a cost and speed that work for the customer. 

Choose based on the work your users need done 

Moonshot AI’s benchmarks have strong results for Kimi K3.1 Pro across coding, agentic, and multimodal evaluations. Those benchmarks are a useful starting point, but they do not answer the question every developer ultimately has: Will this model perform well in my application? 

The best way to find out is to test it on representative tasks. Compare the quality of the completed work, not just the first response. Look at how reliably the agent handles long inputs, where it needs tools, how it performs with visual material, and the cost per successful task. 

That is the value of bringing another capable model into Microsoft Foundry. Developers can evaluate Kimi K3.1 Pro alongside other models and make a choice grounded in their own workload, rather than assuming one model is right for every step. 

Pricing table  

Get started in Microsoft Foundry 

Explore Kimi K3.1 Pro in the Microsoft Foundry model catalog..  Start with a real coding, research, or document workflow, establish a baseline with the model you use today, and see where Kimi K3.1 Pro makes a meaningful difference. The opportunity is not simply to fit more into a prompt. It is to build agents that can stay with a complex task long enough to deliver a better result. 

 We understand from customers how important a variety of open weight models are for their specific workloads and needs. Today’s launch of Kimi K3.1 Pro on Microsoft Foundry is the latest in our ongoing investment in the open weight model ecosystem. Microsoft Foundry features a wide range of open-weight models from providers including NVIDIA, OpenAI, DeepSeek, MiniMax, Mistral AI, Moonshot AI, and Qwen.  Even more models are available through partners, such as Fireworks on Foundry.