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Kimi K3: Open Frontier Intelligence

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641–650 of 1001 posts

Re: Kimi K3: Open Frontier Intelligence

#641

I didn’t realize that GPT-5.6 is basically dominating the cost/intelligence Pareto frontier right now, at least for this set of benchmarks. Otherwise it’s only Fable on the very high end and DeepSeek on the very low end. This Kimi model gets close, though.

[deleted]

Re: Kimi K3: Open Frontier Intelligence

#642
post #629

Earlier quoted context omitted.

> Companies can still make money from commodities Especially Chinese companies. Just think about all the other industries where Chinese companies dominate by extremely low cost.

Isn't that typically because they have lower labor costs? Not sure that applies as much to AI.

Why not? Look at the silicon valley AI researcher salary. There’s no way Chinese researchers make close to the same amount.

Re: Kimi K3: Open Frontier Intelligence

#643
post #111

Pelican: https://tools.simonwillison.net/markdown-svg-renderer#url=ht... - rendered via the OpenRouter API: https://openrouter.ai/moonshotai/kimi-k3 95 input, 16,658 output = 25 cents! https://www.llm-prices.com/#it=95&ot=16658&ic=3&oc=15 (13,241 of those were reasoning tokens.) I think that's the most expensive pelican I've rendered through a Chinese model so far.

Sadly, it seems the pelican benchmark is now saturated. Time for Pelicanbench Pro!

Re: Kimi K3: Open Frontier Intelligence

#644
post #86

> Kimi K3 is Kimi’s most capable model to date, with 2.8 trillion parameters. This puts them on the top of the largest open models list: Kimi K3 2.8T DeepSeek-V4-Pro 1.6T (49B active) Kimi K2.6 ~1T (32B active) GLM-5.2 754B (40B active) DeepSeek-V3.2 685B Mistral Large 3 675B That's one mighty large model! Moonshot is going to need the USD 500 million reportedly raised earlier this year to run this model.

> USD 500 million

There was an another around after that . Moonshot raised $2B on a $20B valuation in May - https://techcrunch.com/2026/05/07/chinas-moonshot-ai-raises-...

Re: Kimi K3: Open Frontier Intelligence

#646

So Chinese labs are driving essentially towards commodotized intelligence. Even if its a few months behind the US. Is this a classic 'commoditize my compliment' situation? They want to sell the hardware and infrastructure behind AI and make the software part not the value driver / moat? I can see it. But also even two Chinese labs sinking 100s of millions USD into training isn't exactly commoditization. It's still a…

Can we start calling AI sycophancy “commoditizing your compliments”?

Or maybe "complimenting your commodities"?

Re: Kimi K3: Open Frontier Intelligence

#647
post #637

Earlier quoted context omitted.

- AI investment is basically the only thing keeping the American economy treading water at the moment, and kicking the chair out from under that industry benefits China tremendously. I'm definitely not saying that's the only factor, but I think it's naive to assume it isn't at all a factor.

It's definitely a factor. In the same way that the US going to war with an important Chinese oil supplier: 85% of Iranian oil going to China and comprising ~14% of China's oil imports. There's always geopolitical reason behind the reason.

I think it’s pretty wishful thinking to believe that the Iran war was some complex N-dimensional chess to make Chinese oil costs higher.

Even if the current President was known for his strategic global thinking and ability to keep quiet about the “real goals,” other explanations seem more likely.

Re: Kimi K3: Open Frontier Intelligence

#648

Is anyone using non frontier models as secondary models for coding tasks? What's your setup? I'm on the Max 20x plan for Claude but I still want a secondary, maybe fast model for offloading some tasks and parallel development. Any recommendation for a cost effective subscription service?

OpenCode Zen gives api rate access to lots of different models. You can get a lot done with Deepseek v4 for pennies.

Re: Kimi K3: Open Frontier Intelligence

#649
post #193

Earlier quoted context omitted.

Tokenizers also matter. Anthropics tokenizers will encode the same piece of text at a way higher token count than OpenAi, for example. That said, Kimi is competing against GLM in my mind, and GLM 5.2 is less than 1/3 the price.

It also depends on how many tokens it needs to burn through to accomplish something. At this point, I always look at things like Artificial Analysis' total cost to run their tests. It'll take into consideration the cost of tokens, how many tokens it burns through, and how effectively it uses caching (and the price of that caching). If a model "costs the same" but its reasoning ends up going through a ton more tokens,…

Precisely. GLM 5.2 Thinking is pretty damn good - but it regularly does something nonsensical. Or even spits out what looks like a fragment of its memory cache. Or returns a bunch of Chinese.

I find myself having to resubmit a query very often...so it being a third of the cost of other AIs isn't really relevant.

Re: Kimi K3: Open Frontier Intelligence

#650

Earlier quoted context omitted.

It's the same reason Meta open sourced Llama and AMD open sourced FSR. When you're behind it is a prudent strategy because it undermines investment in the private frontier. Once you're on top you pull the rug and go closed source. There are no morals in this anywhere to be found. > 100s of Millions That is utter peanuts given the stakes. This is competition between two super powers for the most important technology i…

Are you saying if someone gives you something for free, it's immoral if they don't continue giving it to you for free forever? The children's book "if you give a mouse a cookie" was about exactly this phenomenon

pretty sure the lesson of that book was for the boy, to not indulge freeloaders. not for the mouse, to not accept free services
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