Kimi K2 is our latest Mixture-of-Experts model with 32 billion activated parameters and 1 trillion total parameters. It achieves state-of-the-art performance in frontier knowledge, math, and coding among non-thinking models. But it goes further — meticulously optimized for agentic tasks, Kimi K2 does not just answer;
And now, it is within your reach. Today, we are open-sourcing:
Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions.
Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking.
With Kimi K2, advanced agentic intelligence is more open and accessible than ever. We can't wait to see what you build.
Give Kimi K2 your tools and describe your task.
It automatically understands how to use the tools and gets the job done. You don't have to write any complex workflow for agentic applications.
1.Salary Data Analysis:
Imagine using Kimi K2 to explore remote-work salaries with the Salary Data Analysis example, where 16 IPython calls generate stats, visualizations, and an interactive webpage of insights. Dive into the Stanford NLP Genealogy, and get Kimi K2 to generate an interactive site built through 5 web searches, 4 browsings, 3 clicks, 5 scrolls, 6 edits, and 2 deployments. Or plan your dream Coldplay Tour 2025 in London with Kimi K2, it crafted the plan for you through 17 seamless tool calls spanning search, calendar, Gmail, flights, Airbnb, and restaurant bookings.
2.JavaScript Minecraft:
For clarity, the terminal displays only a summary of each trajectory. In every example, Kimi K2 orchestrates multiple tools and commands behind the scenes to accomplish complex objectives. For instance, Kimi K2 can automate Minecraft development in JavaScript: it manages rendering, runs and debugs test cases, captures logs on failure, and iteratively improves the code until all tests succeed. For pre/post norm analysis, Kimi K2 uses the Weights & Biases (wandb) data reader to extract insights from language model experiments and generates a polished analysis report. When converting a Flask project to Rust, Kimi K2 systematically refactors the codebase and runs performance benchmarks to ensure robust results.
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Comments
9This is huge! 🚀 The fact that Kimi K2 can orchestrate 17+ tool calls seamlessly for complex tasks like trip planning is mind-blowing. And open-sourcing both base and instruct models? Game changer for the AI community. The automatic tool understanding without complex workflow coding is exactly what we need for true agentic AI!
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What wonderful product!
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Kimi K2 is seriously next-level — fast, powerful, and built for real tasks. Perfect for startups pushing limits!
This is great and changes a lot!
Building cool apps!
Opening both the Base and Instruct versions is a strong move for the open-source community. For researchers, is there documentation or tooling support for fine-tuning Kimi-K2-Base efficiently on domain-specific data, especially given its scale?
Indie Hacker
Very promising product.
Building @Dialed
Loving the open source community.
Really impressed by Kimi K2 — Moonshot AI’s powerhouse open‑source LLM. With a trillion parameters (32B active), it not only matches but in some cases outperforms closed‑source giants like GPT‑4.1 and Claude on coding!
Seen this on youtube AI news videos and it's seriously powerful !