While I'm skeptical of any "beats opus" claims (many were said, none turned out to be true), I still think it's insane that we can now run close-to-SotA models locally on ~100k worth of hardware, for a small team, and be 100% sure that the data stays local. Should be a no-brainer for teams that work in areas where privacy matters.

Opus is clearly a sidegrade meant to help Anthropic manage cost, so I would say they may have it if it actually beats 4.6

It doesn't beat Opus 4.6, no way, don't be fooled by benchmarks.

With the previous generation? Yes. With 10T mythos-level models? Not even close.

Its not anywhere close, and if it was nobody in the USA would be spending 7 figures on infrastructure for it.

You LLM people all here serious cases of Dunning Kruger

How are the usage limits compared to Anthropic?

What's the privacy/data security like? I can't find that on that page.

Edit: found it.

> We may use your Content to operate, maintain, improve, and develop the Services, to comply with legal obligations, to enforce our policies, and to ensure security. You may opt out of allowing your Content to be used for model improvement and research purposes by contacting us at membership@moonshot.ai. We will honor your choice in accordance with applicable law.

Section 3 of https://www.kimi.com/user/agreement/modelUse?version=v2

Quite curious how well real usage will back the benchmarks, because even if it's only Opus ballpark, open weights Opus ballpark is seismic.

Huh, so the metadata says 1.1 trillion parameters, each 32 or 16 bits.

But the files are only roughly 640GB in size (~10GB * 64 files, slightly less in fact). Shouldn't they be closer to 2.2TB?

This should erase any doubt that AI Labs are making $$$ on API inference.

Kimi 2.5 (which this is based on) is served at $0.44 input / $2 output by a ton of different providers on OpenRouter, 2.6 will certainly be similar.

That's about 11X less than Opus for similar smarts.

Anthropic has done horrible PR and investors should be livid.

> dumbing down their models,

This should be so easy to prove if it were true. Yet there is none of it, just vibes.

Still, your other two points are completely valid. The opaqueness of usage quotas is a scam, within a single month for a single model it can differ by more than 2x. And this indeed has been proven.

Dirt cheap on openrouter for how good it is, too. Really hoping that 2.6 carries on that tradition.

Maybe because it's a bit of like unleashing a chaos monkey on your codebase? I tried it locally (K2.5 72B) and couldn't get anything useful.

It's also one of the few models that seem capable of drawing an SVG clock

https://clocks.brianmoore.com/

Kagi has it as an option in its Assistant thing, where there is naturally a lot of searching and summarizing results. I've liked its output there and in general when asked for prose that isn't in the list/Markdown-heavy "LLM style." It's hard to do a confident comparison, but it's seemed bold in arranging the output to flow well, even when that took surgery on the original doc(s). Sometimes the surgery's needed e.g. to connect related ideas the inputs treated as separate, or to ensure it really replies to the request instead of just dumping info that's somehow related to it.

It’s good, but it’s not quite Claude level. And their API has constant capacity issues.

Maybe open source == communism

All great technological advancements have come through opening up technology. Just look at your iPhone. GPS, the internet, AI voice assistants, touchscreens, microprocessors, lithium-ion batteries, etc all came from gov't research (I'm counting Bell Labs' gov't mandated monopoly + research funding as gov't) that was opened up for free instead of being locked behind a patent.

Private companies will never open up a technological breakthrough to their competitors. It just doesn't make sense. If you want an entire field to advance, you have to open it up.

additional humor is the open in openai

We are at the point where uncontrolled capitalism collides with humanity.

I do wonder where we go from here.

You can request access here: https://huggingface.co/datasets/cais/hle

The test data is purposely difficult to access to reduce the chance of leaking it into the training dataset.

We got an overachiever, here. Kimi sounds like a teacher's pet kind of name.

At this point drawing these Pelicans must be in the training data sets.

Genuine question, what's the goal of posting this on almost every single new model thread here on HN? I may be old and grumpy but to me it got old a while ago, and is closer to a low effort Reddit comment

They're comparing to Opus 4.6, not 4.5. It was Anthropic's best public model up until last week.