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Competition drives prices down. We tried Kimi and GLM models after hitting 'cybersecurity' blocks on OpenAI and Anthropic. We found them to be much cheaper to access and helped us complete our work without 'cybersecurity' refusals blocking us.
They just started competing against each other? No.

Anthropic is going public soon. Until September, OpenAI was going public. Neither are remotely profitable.

They're not competing against each other, they're competing against free/local/open weight models that they're also lobbying very hard to regulate/ban.
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As much as I hear this sentiment, and as much as all the smart software people around me echo the desire for this sentiment to be true; it feels like people say these things, but then at the same time say - well, Claude/Chatgpt is still marginally better for me now. But clearly they are catching up so maybe one day!!!

In that sense, I'm really not sure if Kimi/chinese models are really competing against Anthropic/OAI? Not to mention that for individuals, the subscription model is extremely different, and Kimi subs are (I think) worse value, and chinese API's maybe marginally end up cheaper than using american subscriptions.

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Openrouter stats seem to indicate that there is a lot of demand for ‘good enough at a good price.’ After all, not everyone is decompiling PS5 games. In fact, most people are just speedrunning notetaking apps in JavaScript frameworks.
But, Openrouter stats can only measure the usage they see. I'm not sure it is really all that representative of total LLM usage across the market.

I think that's the difference here -- OpenAI and Anthropic are competing more with each other (and Google Gemini) than they are with open weight models. While people on HN are familiar with Kimi and GLM models, I'm not sure how many casual users of LLMs know about them. I think the competitive risk open weight models pose to OpenAI and Anthropic is much further in the future.

There is a lot of usage that's only known by Anthropic or OpenAI that's not visible to the rest of the world.

> most people are just speedrunning notetaking apps in JavaScript frameworks.

I feel seen. But seriously, my app, with my preferences, written by a semi-trustworthy entity that isn’t trying to shove ads down my throat. That’s really great.

Have you considered you are reading comments from different people?
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If this is mostly competition enduced, I have to assume either their usage has plummeted or they will implode financially in short order.

The frontier labs were already burning money on more expensive price models, and competition wouldn't have reduced their capex proportionately.

How could they do anything but implode financially? Genuinely curious. The numbers are not right.
Did the frontier labs take out debt or did they make flimsy unenforceable agreements to neoclouds who took out debt?
Borrowing money is not the only way to go into debt. They reportedly made binding and non-cancelable commitments. Once those commitments come due then they will be indebted to their counterparties until they pay up or the courts sort it out.

This is comparable to how, if I sign a 12 month non-cancelable lease and then don’t pay the rent, I will be in debt to my landlord.

People heavily underestimate the number of tricks available to corporates for taking on "debt": https://latentstate.net/the-hidden-ledger/
That's effectively borrowing money with a different name though. The only way to go into debt is to sign an agreement to pay someone money in the future, regardless of the terms used to describe it.
No, it's really not. Do you have a war chest to drag out a legal battle and the ability to bankrupt your landlord by withholding payment? The rules are different at this scale, and "you can't enforce a contract if the attempt will bankrupt you" is only one of the possible games.

Here's another one: pay a supplier to cripple their deployment. Suddenly it's the neocloud's fault for failing to deliver, not your fault for failing to pay.

Did we all forget how Sam Altman turned a non-profit into a for-profit? Do we think he'll bring less sociopathy to this battle?

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You're delusional lmao.

Default is default.

E.g. Capital leases are treated as debt.

Stop posting nonsense.

Apple is worth more than all the AI companies combined. You think LLMs are less valuable in the global market than slightly updated iPhone models every year?
LLMs? No. LLM companies? Yes. It's just math, data centers, and mass copyright infringement. The only scarcity is Nvidia, who just passed Apple in market cap, somewhat proving your point but not in the way you meant it.
If you consider Nvidia an LLM company, and I do at this point given how heavily they've invested in frontier labs and where much of their revenue comes from, they alone are worth slightly more than Apple.
Maybe not, but it is probably less likely that Apple will face stiff competition from freely available alternatives, given that AOSP has been a thing for the iPhone’s entire lifespan and nonproprietary Android phones have failed to capture significant market share.
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I don't think we have seen an Apple of AI yet. I wouldn't describe the frontier that way, would you?
No, and moreover it’s not entirely inconceivable that the Apple of AI may turn out to be Apple itself.
Their costs could drop, competition could dry up, or they may only be unprofitable in the first place because they’re choosing to invest more money in growing their business than they’re currently making, a practice which need not and will not continue indefinitely.

It’s not at all unusual for companies to run at a loss for several years before turning a profit.

The government could bail them out, that's the most likely scenario if they don't implode IMO.

They could also continue to grow at the rates they had last year. I don't know where those customers would come from, but if they did pull that off OpenAI and Anthropic could sustain propping up the circular financing going around the AI industry.

Goverment bailing they out will be using people tax to rescue the companies that absorbed most of the 801k money so they can get people out of work... it's the ultimate slap to the face... I would strongly resist this, I would vote if they implode to give to whoever owned shares via 801k their money, to people and let them (openai, anthropic, et al) eat shit... I would love to buy one of those gpus to run an open model at discount price...
Completely agree it will be a huge slap in the face to the public, unfortunately that's a common solution.

When everyone is afraid the market will collapse, or more likely distracted because the market collapsed just enough to hurt the average person, the government will bail them out and either people won't notice or will welcome it as a solution to huge levels of fear.

Voting isn't usually much of a solution after the fact, the political machine doesn't allow for candidates that would fix anything to have a chance at any office that matters. There's a reason our politicians today all seem to have roughly the same goals and all seem to become extremely wealthy while in office.

Government trying to manage financial markets is like trying to steer a rampaging rhino; finance is stronger than government, and can wreck it. But some politicians want to increase regulation and some want to reduce it. Some cynicism is fair, but you've overstated the case. Elections do not offer infinite choice, but the choices are distinct.
Maybe you should try voting harder.
Meaning what? Cast more than one ballot?

I live in a state that votes heavily in one direction, most states are the same. Its fine for me to vote, but the winner of a majority of states is pretty well decided before a ballot is cast (by strong majority, I'm not claiming fraud).

If everyone who threw up their hands actually voted, the outcome would change. See also, the elections musk tried to buy in the last 18 months or so since he doged up the place.
Sure, and I hope that (a) everyone votes and (b) most of them agree with me. Bit what is your point exactly?
A bailout would be a slap in the face when the correct solution is to nationalize them. If they are too big to fail then the government gets a controlling share of equity and we finally start the sovereign wealth fund we should have started decades ago.
Stuff like this that defies all logic happens all the time. Amazon operated at a massive loss first it’s first decade and still IPO’d years before they posted a profit.
Amazon were investing in goods that lasted longer. It's an open question how long the GPUs will be worth anything, and training costs are the real killer.

Z.ai, who make GLM are public and their books are really, really, really bad.

That's why Anthropic are rushing the IPO. You can explain a single quarter slowdown, you can not explain a multi quarter one.
What makes you say that Anthropic has multi quarter slowdowns?
I am technically not saying that. I am taking off from the parent comment and speculating.

Their data from September is leaked via IPO preview, and October is not yet complete, so how can someone even project that?

// I am a techie, not a finance guy, so apart from public chatter, no inside knowledge.

And I do feel their IPO is being rushed before anyone has enough information to make up their mind. The VCs or private equity have given them a lot of money and want to cash out. When the revenue does slow down, any investor should pause to take a look at whether they can right the ship, or has the landscape itself changed.

Have more confidence - you are correct.

Their revenue taps, product releases and marketing campaigns were all strategic: to be able to show nice numbers in the financials.

Once they stop playing games with quality of output of these models and revenue's shrink - they will be in deep deep trouble. They are hoping they will conjure up a break through with the IPO proceeds.

Let's see.

My reason is their revenue chart is flattening.

https://techstartups.com/2026/10/15/anthropics-q3-revenue-hi...

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I don't have the numbers in front of me but could have sworn I had seen quarterly revenue growth rates dropping drastically over the last year or so. Still a strong growth rate, but much lower than prior growth rates.

Edit: Data because silent down votes are useless, Anthropic Q2 2026 grew 147% while Q3 grew 45%

Yes but its growth rates with respect to expenditures, and in particular capital expenditures (R&D etc), which we have no idea about.

Gross margins here are irrelevant: if they can't charge a high enough price to cover all expenditures and rely on cash raised via fund-raises, they are not financially healthy.

Could they be one day? Maybe.

I think we agree in a backwards kind of way.

Yes they do need to grow margins to cover expenses, eventually when Amazon had to turn a profit.

My point was only that the numbers we do know clearly show a drop in growth rate of revenue, I can't judge numbers that aren't publicly known.

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> If this is mostly competition enduced, I have to assume either their usage has plummeted or they will implode financially in short order.

If we assume it's due to competition, then their usage has precisely not plummeted because they cut prices by 80%.

I wouldn’t be surprised if US “bans” access to the Chinese models by the end of the year
How?
I think your question is rhetorical, in which case I agree with the sentiment.

The US absolutely could (and very well might) make Chinese models illegal, possibly open weight models in general, but all that will do is keep them out of the hands of law abiding US citizens.

Law breakers in the US and the entire rest of the world would still have access, and nothing in the US will be any safer. People who think regulation will solve the problem should be embarrassed by their ignorance.

It may solve the problem of anthropic and open ai going out of business with all major consequences that would have for the rest of the US.
Lol, that's funny in an awful way. Choose between popping the AI bubble or creating a duopoly, and still have all the cybersecurity and other risks.
I don't get why people think Chinese models could bring openai and anthropic to their knees. There are zero signs of such a scenario. In fact the market is still growing at a gigantic pace. Quality of American models is still AAA. Chinese will have their place. But they are unmatched by their American rivals.
"Bring them to their knees" is highly unlikely.

"Puncture expectations of a multi-trillion dollar valuation" OTOH seems quite likely to me.

If the capability keeps growing significantly, then I agree it's possible the US could hold their significant lead indefinitely.

However, capability could plateau or reach a point where most of the market can't tell the difference and isn't willing to pay a premium.

> But they are unmatched by their American rivals.

Kimi K3.1 is top 5 on AA and half the price of Opus 5.5, Qwen4 is coming soon. There is near zero difference for most tasks, so it matters less today and even less as time goes on. Price is now the top concern for a reason.

https://artificialanalysis.ai/#intelligence

Banning open weight models in the US would provide the rest of the world with a huge business advantage since these models are much more cost-effective than US models.
“Ban open weight models” Lol how. How do you even prove a model that I’m hosting is open weights?
OpenRouter and other inference providers won’t be able to openly host the models, for starters. That should cut most (or at least a significant share of) non-local inference, and local inference only works with smaller, less capable models, plus the hardware is hella expensive when you don’t have scale to saturate.

In addition, most companies don’t want to be in a position where a disgruntled employee can report them to authorities and rack up massive fines or worse, even if it’s hard to tell from the outside.

There's a difference between something being illegal and being able to enforce that law.
I don't know man. Marijuana is/was banned in most of the US. LOL, how do you ban a plant?
Given the general availability, the answer appears to be “you mostly don't.”
If you are a legally operating company in the US just saying it's banned is enough, the threat of enforcement is enough pressure.

You and I obviously can just use a VPN, but 99% of usage is likely as part of a company.

Presumably, legally operating companies aren't the dominant threat though. So banning open weight models doesn't solve anything.
Not if you realize the real threat to be solved is threat to shareholder value.
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> If you are a legally operating company in the US just saying it's banned is enough, the threat of enforcement is enough pressure.

Is there precedent for the US actually "banning" software? I know for example the Kaspersky ban and tiktok ban, but both of those were either banning the sales or banning the service. IIRC neither made the actual software illegal.

What is an example of a specific software being illegal to possess? What is an example of a specific software being illegal to use if it is not used to break other laws (copyright, etc.) or talks to banned service providers?

Closest thing I can think of is restricting the export of cryptography in the 90's, but that was not even close to what you are suggesting.

Correct it’s 7% chance on kalshi, and those 7% of people are just wrong. I know everyone likes to larp that the US is some kind of dictatorship, but lol, lmao as they say. Also on the “how” side so far we have “they will just announce that “they” are banned, hilarious.
So much this. I’m using these models primarily for dumb hobby projects and I’ve still hit this a lot - although much less so in Opus 5.5.
What harness are you all using? OpenCode?
I have a harness for my harnesses now. My Hermes manages Codex, CC or Cursor now and interact with me via Slack and PRs on GitHub.

It's nice because I can keep going from anywhere, other team members can see and interject in my Slack threads, and Hermes auto updates its skills with any adjustments that we make so we don't have to ask twice.

I found Claude Code to work best. You can use it with any compatible API.
Pi.dev at home.

And I’m slowly writing my own. But it’s garbage at the moment.

I wrote one and kept iterating by using it to fix bugs in itself

I still also use other harnesses, but mine is already at the point where I prefer it more often than not

You should totally keep working on yours. It’s a cool learning experience. And you might stumble on some good ideas that nobody else has had

Don’t write your own. Fork maki.sh and customize it like I did. It’s built in Rust and is absolutely amazing.
Thanks for the suggestion, but that’s not a fit for me.

I’m writing my own harness to learn. And I’m writing it in zig.

But, I’ll absolutely add maki.sh to my reading list. So, that’s a win.

What kind of hardware do you need to run a useful LLM at home? To train one?
> "What kind of hardware... "

At home, I mostly use openrouter.

A few bucks will realistically last you forever. I also bought a DGX Spark at launch. I've learned a ton. but it's not usually my daily driver. I do run overnight tasks on it, like "read this book and write up notes on each chapter..."

In retrospect, given the dirt cheap prices of apis and or renting hardware, buying hardware for inference was likely a mistake (but not enough of a mistake to sell it now).

There are a lot of tasks I have, e.g. integration with homeassistant, that I absolutely will not trust a cloud provider for. On prem or nothing.

I'm not willing to spend thousands for those features, so my house will remain dumber than it could be until prices come down in a year or two.

Schaefer says they write their own harness, not necessarily training or running a local model.
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For me, I used Zed Agent with Codex as it has native integration with Zed's ACP so it's pretty convenient.

However, Anthropic is pickier about the harnesses you can use with Claude Code and I noticed discrepancies when using Zed's External Agent feature with Claude Code, so I just use the Claude app. It's fine.

Personally I've found Zed's agent to be much superior to OpenCode. IDK why but it gets better results from the same model on the same task. Using with GLM 5.3 and DeepSeek 4.1.
I've been pretty satisfied with OpenCode 2
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yea but I thought they had a massive compute shortage. Something doesn't add up. Imagine there being a beef shortage and the beef producers cut prices because "competition". why?
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