alt Hacker NewsKimi K3: Open Frontier Intelligence
Kimi K3 Intelligence, Performance & Price Analysis: https://artificialanalysis.ai/models/kimi-k3
Comments
Does anyone have any heuristics on how scaling parameter count actually scales cost to serve? Also im assuming we dont really know the sparsity here?
Is them pricing at Sonnet level actually give us any information at all at how big Sonnet is or is there too much opacity around inference margins?
This is far too expensive. Why would I use this over a frontier model at these prices.
Quite impressed by the result to my first prompt...
How feasible is it to hook Kimi up to do GitHub code reviews? the Copilot quotas got really stingy recently
Not worth it. I have just tried a single prompt in the web interface and it is still not finish reasoning. It thinks too much and often repeats the same stuff over and over.
Combine with the price it will surely more costly than gpt 5.6.
This is too expensive to be a viable model. If it were $5/1m output, it might be another story. At these prices, there's no reason to use this over GPT 5.6.
I am trying to benchmark it, but it only supports (max) reasoning, and even for simple questions, it takes forever to answer/times out :(
at this rate the next model release will just be a git commit hash and a shrug emoji
Wants a phone number...no thank you.
I'm not finding this on huggingface yet is and open model or is kimi now a closed model ?
at this rate we'll have a new state-of-the-art model before i finish typing this comment
Seems to only use ≈60% as many reasoning tokens as 2.6. So the price hike is not as bad as it looks.
Another deepseek moment? it seems they have fully caught with fable tier of models, and this was a lot sooner than was expected.
Full benchmarks in Mandarin:
https://mp.weixin.qq.com/s/V4xhEIy8xDXSMDPrPkmUAQ
Translation:
https://mp-weixin-qq-com.translate.goog/s/V4xhEIy8xDXSMDPrPk...
Cheaper then GPT 5.6 Sol (according to their results) ...
> Among the models tested, its overall intelligence ranks second only to Claude Fable 5 and GPT-5.6 Sol.
> The full model weights of Kimi K3 will be released in the coming days. More details on the architecture, training, and evaluation will be published together with the Kimi K3 technical report.
I mean, it's hard not to be impressed by the Moonshot team. Absolutely great work.
They're saying kimi3 beat Fable in the AttnRes Kernel Optimization benchmark. What does this benchmark actually mean?
https://www.kimi.com/blog/kimi-k3
"The full model weights will be released by July 27, 2026."
Kimi 3's Artificial Analysis benchmark scores between GPT Sol and Opus 4.8.
I'm curious if they're keeping up mostly due to distillation or how that works. Does anyone outside China know?
Thank you Kimi. We no longer need to rely that much on Dario and his supreme lackeys to decide what is safe or not for simple tasks.
Curious why the thinking mention chatgpt for a moment https://ibb.co/JFdhMN95
I really need to finish my automated model evaluation harness, I can't keep up with this pace
Crap, the first open weight model that really feels out of reach when it comes to running it locally at home. :-(
do they not have an API? only sub?
The question remains is it open or not, if it's open I will use it if it's not well I was happily being fucked over by an American tech giant...
Now, will they actually release the weights? Seems like Chinese model providers are slowly closing up, like Alibaba's Qwen 3.6 which did release weights (but not the biggest parameter count ones) and none for 3.7.
how much would it cost to host it on AWS for example?
Say what you want about these Chinese models but they sure create competition and urgency in the space.
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.
@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?
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it doesnt work though, text area brings up pop up window
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I get a quota of GitHub Copilot for free.
From all the models available to me I'm most happy with Kimi K2.7 (given the cost/performance).