I finished benchmarking[0] it, but it was not fun, it only supports (max) reasoning and the model is quite slow. Apart from a few requests timing out, it also has some issues with tool calling/response format schemas (Moonshot rejected tools.function.parameters with anyOf schema).

It also, for some reason failed to generate either of the 2 coding demos (hamster svg and solar system css animation).

Intelligence-wise, it's between GPT-5.6 Terra and GPT-5.6 Sol. It's ~30% better than Kimi K2.6, but a lot slower and more expensive.

[0]: https://aibenchy.com/compare/moonshotai-kimi-k3-max/moonshot...

Anthropic's "durable advantage" theory of US AI dominance is looking pretty silly. There's zero indication that it will be hard for China to keep pace as models improve and start contributing to their own training. Which pretty much invalidates their policy recommendations.

They can't even blame it on distillation this time, unless they want to claim that their own preferred security measures were ineffective in preventing Chinese access to Mythos.

Half kidding feature request for HN: Mark all AI related posts so I can filter them out, when I need a pause.

Any updated Pareto frontier graphs? https://paraplouis.github.io/llm-pareto-frontier/ is quite out of date now.

Only supporting "max" reasoning is weird, their parameters are quite inflexible atm:

    Important limits:

    reasoning_effort currently supports only max; K3 always has thinking mode enabled.

    max_completion_tokens defaults to 131072 and can be set up to 1048576.

    temperature=1.0, top_p=0.95, n=1, presence_penalty=0, and frequency_penalty=0 are fixed; omit them from requests.

    Return the complete assistant message unchanged in multi-turn conversations and tool calls.

    Vision input does not support public image URLs. Use base64 or ms://<file-id>, and make content an array of objects.

    Web search is being updated and is not recommended for production workflows in the near term.

The blog post is now online:

https://www.kimi.com/blog/kimi-k3

- The blog post is explicitly saying that the model is open; that language was removed from the previously shared link

- It shows benchmarks

I've been playing around with it for the past few hours, and I think it's an amazing model. I'm not sure I could tell the difference between this and Fable in a blind test. The quota in the $100 Kimi Coding plan seems to roughly align with what I get from the $200 Anthropic plan when I primarily use Fable.

Did anyone see on the blog post[0] that it was able to code up an entire GPU compiler from scratch? It looks like it even outperformed triton on some GPU kernels. That just seems insane to me.

Wonder if they’ll open-source this and show how many tokens it cost.

[0] https://www.kimi.com/blog/kimi-k3

Is K3 marked as a proprietary model because its weights have not been released yet? Were there indications from Moonshot that K3 would or would not be open weights?

Very interesting to see how Gemini 3.5 Pro stacks up against this new wave of models. Hope they have something similar to a Gemini 3.1 moment soon. Their speciality has always been math and multi modal intelligence and the new models are recently all very coding focused.

It does seem to have retained the K2 series's creative writing abilities, at least with the prompts I've tested so far.