Claude Killer? My review on Kimi K2 after hrs of testing...

• I was able to put the new Kimme K2 model into cloud code.
• This model is something truly different, with impressive capabilities.
• The Kimi K2 model is incredibly low-cost compared to alternatives.
• I conducted experiments with UI and game design, yielding promising results.
• Building AI coding agents becomes remarkably affordable with the Kimi K2.

I was able to put the new Kimme K2 model into cloud code. It was able to create this whole high quality UI component library including file explorer, text editor, app view, and resizable panels and put together an online IDE UI like this as well as a fully functional manual type game with just a fraction, of course, of what you would normally be charged from Entropic API.

And I know there are new models coming out all the time, but this Kimi K2 model is something truly different. So when it comes to AI coding, Entropic Cloud has been the best model out there. There are not even many other choices like GPT 4.1 model; coding capability does not even come close.

But the issue is that Cloud 4 model cost is extremely high. I was trying to build this coding agent for super design dev, and that’s where I couldn’t figure out how possible we could make using those Entropic models.

And that’s also the point I realized all those AI coding platforms like L Bo or Bold very likely are not making much profit if their customers are using the product too much. But that is going to change completely with this Kimi K2 model.

So Kimi K2 is a new open-source model introduced by an AI company in China called Moonshot. It has quite impressive coding capabilities on the benchmarks but most importantly, their price is insanely low compared with Cloud full Model or even GPT 4.1, where Cloud 4 charges dollars per million input token and dollars for output token.

The Kimi K2 model charges only a fraction of it with 60 cents for 1 million input tokens and $2.5 for the output token. This means if you switch to Kimme K2 model, you will cut costs by 80% immediately.

I did some tests, and the performance of the Kimmi model looks really promising. It almost feels like somewhere between Cloud 3.5 and Cloud 4, so it is good enough but 80% cheaper.

Today, I want to show you how you can use the Kimi model in your own application as well as cloud code.

There are a few ways you can experiment with the Kimi K2 model. The easiest one is you can just go to kimme.com and start giving it prompts. Here, I just gave screenshot Twitter and asked to rebuild the UI. It will automatically generate this amazing UI replica, so you can just go to Kimi.com to try it out.

On the side, the more fun ways to use Kimi K2 is obviously using their API endpoint and the price, as I mentioned before, is pretty insanely cheap considering their performance.

The best part is that it’s extremely easy to use their API because you just change the base URL and pass on the API key. It works just like a normal OpenAI client that you created before.

But the best way to experience Kimi K2 is actually to integrate it into cloud code, so that it leverages both the coding capability as well as the agentic tool core capability.

The easiest way to integrate is that you can just open your terminal and do: