alt Hacker NewsKimi K3.1 Pro and K3.1 Pro Highspeed
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How does it do on DishwasherBench?
looks extremely impressive, the full benchmark table isn't opening for some reason though so do we really have agi if small important things like that keep breaking?
Biggest gripe with K3 was slow responses, partly due to inefficient thinking. So far K3.1 pro is almost twice as fast as k3 on our benchmark.
SWE2 is post trained apparently on Kimi 3. Using it now on Devin, as it's free until the end of the month for a pro account (hey, $20 a month), and it's pretty strong. If I had to pay for tokens I'm not sure how efficient it would be, but definitely Kimi 3 seems a great base. I co-code with ChatGPT 6 and between the three of us it's pretty effective.
So interested to see what the Kimi 3.1 has to offer.
This is a frontier level model and is at worst 1 month behind Anthropic and OpenAI.
if this model is truly not distilled/benchmaxxed, then why are not investors pouring trillions into moonshot?
So I just created a brand new Kimi API account and it seems I have no access to this new model. Is this expected?
Wow. that's a beautiful website
Benchmarks seem amazing. Rivalzing with Opus 5.5 is something.
I wonder when the Artificial Analysis bench will be out?
Not the point, but did Moonshot AI announce this at Saturday 1 AM in China? Weird timing for a model drop.
this is fun to watch, next week : new fable and astra, also where use muse wonder in this benches? they where leading model in many of these charts.
So, the US economy spends trillions of dollars to be at the "frontier" and China puts out a model that basically does the same thing, for free, and for a tiny fraction of the development cost. How is this sustainable?
No comparison against Gemini 4 Argon?
What is the best subscription to use with Kimi to use for software engineering work? And how is usage? I remember when K3 came out it burned through usage at an insane rate. Is this still the case with Kimi K3.1 Pro?
> Kimi K3.1 Pro is a post-trained version of Kimi K3, with substantially larger post-training compute.
It's very nice that we entered a time where models are large enough and we can push the frontier just by training them longer.
When the next generation of gardware comes the ones on the smaller size will be running on a computer that might cost as little as a good car.
So after a home and a car, next major family purchase might be personal AI. And when the robots get good, pehraps in a decade, a fourth major purchase might pop up that will pair nicely with the third one.
Why would a family need an AI? Maybe it's the same kind of question as why would it need a personal computer.
55 on AAI, really awesome
That's incredible
That's nuts.
I've not tried it out, but in the past I've been pretty disappointed in the performance of Kimi models. Deepseek, Qwen, and GLM all appear to perform much better even though Kimi often has higher benchmark scores. Ditto for Mimo.
whats the decode tok/s speed?
Now I wanna see its slopcode ranking.
Wow.
these motherfuckers went from distilling claude to distilling ChatGPT lmao
woah
its better than trillion dollar companies model (Argon)
Tech blog and benchmark scores now available here: https://www.kimi.ai/blog/kimi-k3-1-pro
It appears to be generally frontier-level.
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Can someone please tell me what benchmarks to look for that measure world knowledge? For sspitballing, critical analysis, business projects, etc. Is the model size the only way to measure it?
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I always assume they are benchmaxxed until proven otherwise.
I'll wait for the pelican benchmark.
Great idea for handling their cyber, by nerfing the model specifically for cyber through removing cyber data from pretraning. This is a way better approach than refusal, which can be trivially abliterated out.
If someone wants to use this model for hacking they will have to train the 3T weights to do so, at that point it's better to use GLM 5.3, so by making it economically unviable to use their models for offensive cyber Kimi has effectively made themselves immune to being targeted in the cyber regulation push efforts.
This is what *actually* pacing the (cyber) frontier looks like.