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>> I pretty sure OpenAI and Anthropic are doing the same or worse. So in your opinion, they are training on your data even if you toggle the "don't train on my data" checkbox off? That's a bold assertion.
Think of it as the Big Data hype some years ago.
Just in case you were thinking of signing up directly with Moonshot to use the service, they appear to train even on API use: > We may use Content to provide, maintain, develop, support, and improve the Services, comply with applicable law, enforce our terms and policies, and keep the Services safe and secure. Customer who requires restrictions on the use of Customer Content for training or improving Moonshot AI mode…
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Is this really true? I was led to believe my company had an enterprise zero data retention agreement with them and it’s why we didn’t get access to Fable Is there proof of what you’re saying or is it just a guess?
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> I pretty sure OpenAI and Anthropic are doing the same or worse. No they're not. It would end both companies if they were ever found to be doing that. Their terms are clear - if you use the coding plans they can[0] train in return. Enterprise and API, absolutely not. The argument here is that with the Chinese labs you have zero legal recourse. [0] opt-in, thanks
https://youtu.be/0A3sGymV6kY?si=ti7uSZtYqJ3vKpGM
I found it a little shocking TBH
More details: - https://platform.kimi.ai/docs/guide/kimi-k3-quickstart - https://platform.kimi.ai/docs/pricing/chat-k3 1M context, pricing is $3/$15 for 1M tokens (cache $0.3), which is extremely high for a Chinese open-weight model, but if it's truly competitive with most of the current frontier and is only behind Fable/Sol, the pricing is justified. This is 1:1 pricing of Anthropic's Sonnet series (except Sonnet 5…
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.
Having used GLM 5.2 extensively and K3 for a few hours now, these models are nowhere near each other. 5.2 is a great model, and I use it for a lot of things, but it's noticeably below Opus 4.8 or GPT-5.5 in real-world usage.
K3 is in the same ballpark as Fable or Sol.
My testing prompt for these models is by no means objective or repeatable (like the pelican) but it's a nice test of curiosity: > Impress me with a 1 page html file Result: https://ydaurtg3fdwhq.kimi.page/ Came out looking pretty cool! By contrast, Fable produced a moderately more interesting "live observatory" of the solar system.
Account creation with only a phone number or google account is lame.
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This is weird and reactionary. Lots of organizations are continuing to refuse to use chinese models due to security and IP concerns. Anthropic/american models aren't going anywhere anytime soon.
Cursor will rebrand it as Composer 3.0 to assuage any such concerns, as they did with the previous Kimi models.
Just in case you were thinking of signing up directly with Moonshot to use the service, they appear to train even on API use: > We may use Content to provide, maintain, develop, support, and improve the Services, comply with applicable law, enforce our terms and policies, and keep the Services safe and secure. Customer who requires restrictions on the use of Customer Content for training or improving Moonshot AI mode…
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