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Posted by vincent_s 19 hours ago

Kimi K3: Open Frontier Intelligence(www.kimi.com)
https://www.kimi.com/en

Kimi K3 Intelligence, Performance & Price Analysis: https://artificialanalysis.ai/models/kimi-k3

1562 points | 932 commentspage 12
lvl155 18 hours ago|
Say what you want about these Chinese models but they sure create competition and urgency in the space.
_superposition_ 18 hours ago|
Agreed, this will save us all money in the long run.
segmondy 14 hours ago||
Crap, the first open weight model that really feels out of reach when it comes to running it locally at home. :-(
kzrdude 13 hours ago|
If DeepSeek v4 flash is run using Q2, then people should run this one using Q½ or maybe Q¼
ben8bit 13 hours ago||
I mean, it's hard not to be impressed by the Moonshot team. Absolutely great work.
wellthisisgreat 15 hours ago||
how much would it cost to host it on AWS for example?
0xbadcafebee 17 hours ago|||
The big danger here is the gradual increase in open-weight subscription costs. I use open weight subscriptions, with lower-cost models for 80% of my tasks and GLM-5.2, Qwen 3.7-Max, Kimi-K2.6/2.7-Code for the 20% that need the most intelligence. That lets me maximize the rate-limit the subscription gives (rate limits per model are literally a price-limit-per-token/model). When new/more expensive open weights come in, providers phase out older/cheaper models. Over time we will either have to pay more, or use our subscriptions less.

It goes without saying, but if the open weights become as expensive as SOTA models, there's no point in using open weights. If nobody pays for open weights' development, the development dies out, and we're stuck with a US-controlled duopoly again. Which may be the biggest threat the world has seen from the US since nukes.

hedora 15 hours ago|
It’s open weight, so the price will end up being the marginal cost of hosting it.

Personally, I like that there is an option to not send data to companies that have strong financial incentives to steal it.

Also, open weight foundation models can be distilled, so they’re providing a service that the US duopoly is actively blocking. Given that app specific distillation can get > 10x improvements on inference cost (with slight improvement of quality), it’s clear that it’ll win out over time.

bdhtu 13 hours ago||
@dang, since the English blog post is now live:

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

Maybe we should update the link to it instead?

smalljelly2018 2 hours ago||
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deemwar 14 hours ago||
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RohitRathiii 13 hours ago|
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