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Kimi K3 is now #1 in the Front end Code Arena with 1679 pts, surpassing Fable 5

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Re: Kimi K3 is now #1 in the Front end Code Arena with 1679 pts, surpassing Fable 5

#11
post #7

Earlier quoted context omitted.

unless they figure out how to make money by themselves, closed models already capurd 99% of reaturly

I buy DeepSeek and MiMo directly from them, on the assumption they're better at it, have a vested interest in me having a good experience and they'll get caching and other stuff right. They're also cheap enough that it's unlikely you'll find a much better deal on those models. I'm likely to also add a small Kimi Code subscription, as the model looks very promising and I don't see any reason to support proprietary US…

I use GLM 5.2 through open router, and it's much much less expensive than Anthropic/GPT5.5. I do app development with it and I spend maybe $0.20-$0.50 per task that I work on expanding the app where Claude sonnet will come out to $1-2 for the same work, and Claude Opus $5-10

Re: Kimi K3 is now #1 in the Front end Code Arena with 1679 pts, surpassing Fable 5

#13
post #5

I wish we could stream active data to RAM, directly from the NVMe drive for the 2TB K3 model. Can't wait for prism-ml/ to release a ternary 2bit model, which would make this a bit more tenable.

A 2 bit model is still 700gbs you need to stream through. I know we say reading is free (vs writing). But on a 2tb drive, you're doing a full drive read for every three tokens. Thats 333,000 drive reads just to fill up the context. Well, this is at least an moe model so not that terrible. But i think the point remains

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