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cmiles8 4 hours ago

Probably the bigger headline here is that they’ve blown past OpenAI in revenue and valuation, with OpenAI looking increasingly shaky and vulnerable.

Aurornis 3 hours ago | parent | next [-]

Their valuations differ by about 13%. That's close enough that I wouldn't call it "blown past".

Things change fast in this space. Anthropic had a big boost from having the premier coding model for a while, but GPT-5.5 has closed that gap at a time when a lot of Anthropic customers are looking for cheaper alternatives.

Anthropic is coming off of a recent change to their enterprise billing that substantially changed the pricing for many users. They were smart to do the fundraising before the effects of that change could fully propagate.

cmiles8 3 hours ago | parent | next [-]

The acceleration rate has been extraordinary… they went from mostly unknown outside AI circles to the number one player almost overnight. If that’s not “blown past” I don’t know what is.

jmathai 3 hours ago | parent | next [-]

The branding of Claude is so much stronger than ChatGPT. Even Anthropic is such better branding than OpenAI (especially considering they're not open at all).

My wife knows about Claude because that's what I use and we pay for. She uses it also as a result. And inevitably she will talk about Claude to her friends.

bbg2401 2 hours ago | parent | next [-]

OpenAI is as open as Anthropic is anthropic.

boringg 2 hours ago | parent [-]

Great line. The irony of these names can't be overstated.

tredre3 2 hours ago | parent | prev | next [-]

> The branding of Claude is so much stronger than ChatGPT.

Absolutely not, you live in a bubble. Everybody knows about ChatGPT.

Few non-programmers have heard of anthropic or claude, nor do they care. But they all know what ChatGPT is.

andrewl-hn 2 hours ago | parent | next [-]

ChatGPT is a word now. People may use Perplexity, or Google, or Grok to ask questions online. And later they tell you "ChatGPT told me this". It's a new "I googled in Yahoo".

famouswaffles 39 minutes ago | parent | next [-]

ChatGPT is the 5th most visited site (as well as has nearly a billion weekly active users) and none of the competitors are even close. In the consumer space, Gemini is doing well but Claude is not even in the same galaxy. OpenAI is undoubtedly the leader in consumer LLMs and by a large margin. I'm sure there are mixups, but if someone is telling you they're using chatGPT, they almost certainly mean they're using chatGPT.

zozbot234 2 hours ago | parent | prev [-]

[dead]

basch an hour ago | parent | prev | next [-]

>Few non-programmers have heard of anthropic or claude

They ran a super bowl ad. It's all over the construction industry. Claude is still not quite the Kleenex that ChatGPT is, but there is a pretty good chance lay people have heard of ChatGPT, Gemini, and Claude by now.

To disagree with the person below/above me that ChatGPT is the word used generically, when someone uses Gemini or Claude or Copilot, they TELL you which one they used, because they are essentially saying "i didnt use ChatGPT by choice."

Gemini is the one most likely to be used without people knowing which one they used.

Spunkie an hour ago | parent | prev | next [-]

Def sounds like a bubble to me. In my own bubble, ChatGTP is so well known over the others that people will often slip and refer to other AI services collectively as ChatGTP.

e.g. "I put it in chatgtp and..." when they actual asked Gemini.

satvikpendem 3 minutes ago | parent [-]

Ironic that you spelled it wrong though thrice.

kilroy123 an hour ago | parent | prev | next [-]

Agreed. My Mom, who is a grandma, uses ChatGPT every day. Lots of nontech people use it.

koolba an hour ago | parent [-]

Is she paying for anything though?

vasco 2 hours ago | parent | prev [-]

Everyone knew Altavista too

Marciplan 2 hours ago | parent | prev [-]

for normies it is the exact opposite.

pavlov 2 hours ago | parent | prev | next [-]

I remember seeing expensive multi-page ads for Claude in the New Yorker over a year ago.

Their marketing has been working the high end of the “regular people” market for a good while.

baal80spam 3 hours ago | parent | prev [-]

Do ordinary people really know what Anthropic is?

__s 3 hours ago | parent | next [-]

They know that "claude's the good one"

postalrat 3 hours ago | parent | prev | next [-]

They certainly know claude. I keep telling them they are all about the same.

cmiles8 3 hours ago | parent | prev | next [-]

They know the cool kids have ditched OpenAI and now use Claude

linuxftw 2 hours ago | parent | prev | next [-]

Of course not. Normal people are using gemini, it comes pre-installed on Android now.

boringg 2 hours ago | parent [-]

This is the answer for gen pop. Gemini is going to mop up the floor on most use cases as its ingrained in google search.

pembrook 2 hours ago | parent | prev [-]

Ironically their tussle with the US federal government is what made them a household name [1]

There's no better way to create awareness of a brand than to get it featured in the most popular reality TV show globally at the moment: "Thing Trump Did: Season 2."

[1] Proof: https://trends.google.com/trends/explore?date=today%205-y&q=... (see the massive spike in January of this year)

manquer 2 hours ago | parent | prev [-]

> but GPT-5.5 has closed that gap at a time when a lot of Anthropic customers are looking for cheaper alternatives.

GPT-5.5 is a bit more expensive than Opus ? Current list prices

  | Model      | Input   | Output   |
  | GPT-5.5    | $5/MTok | $30/MTok |
  | Opus 4.8/7 | $5/MTok | $25/MTok |

Deepseek perhaps would be the top threat on a pure price/performance metric for either of them. It doesn't look like OAI is going for the value play .
gruez 2 hours ago | parent | next [-]

Comparing $/MTokfor models makes as much sense as comparing $/ghz for CPUs. Models have different tokenizers and take varying number of "thinking" to get to a solution. A far better proxy is how much it takes to do a run, which takes all of that into account. Such metrics are much harder to gather, but once source claims $3357 for gpt-5.5 vs $4686 for opus, the opposite of your conclusion.

https://artificialanalysis.ai/?cost=intelligence-vs-cost

manquer 2 hours ago | parent [-]

There is no conclusion , I only stated the only objective fact to compare with that will not change for you to me.

Everything else is subjective to your setup, use case, configuration tuning and so forth.

More importantly bean-counters and decision makers at even 150+ seat orgs are looking at pricing sheets and enterprise contracts not how it performs for some team in a specific harness today to make million dollar annual contracts. It is not common for procurement teams to do commission the level of detailed analysis or large scale pilots that will actually hold for the duration of contract.

That doesn't mean that GPT-5.5 is selling less than Claude at all, just that cost is not the primary driver if list price is not cheaper, there is reason these are published in the same format by every vendor, because the common metric is how finance likes to compare with.

Spartan-S63 2 hours ago | parent | prev [-]

Most variants of GPT-5.5 are less chatty and token-intensive than Opus 4.8/4.7, so despite the output token price being higher, it generates fewer tokens, so the net cost is lower.

Per-token pricing is totally sensible from the provider-perspective on mapping COGS to revenue, but for a consumer, different models will produce more or less tokens, meaning the cost calculation is multi-dimensional.

manquer 2 hours ago | parent [-]

You can configure model to be terse/concise with output style ? There are plenty of popular projects like https://github.com/JuliusBrussee/caveman which do it for you even.

Input/Cache/Output ratios are use case and configuration dependent . Any benefits in one model can usually be roughly to another with configuration tuning, and discussions devolve into subjective experience.

Pricing sheet is the objective way to compare cost.

alecco 3 hours ago | parent | prev | next [-]

Anthropic is at the mercy of 3rd party datacenter contracts. AFAIK OpenAI will soon run mostly on on their own GPUs.

I don't like Altman and I am still upset about his memory deal last year but he prepared for the current shortages months before anybody else. Meanwhile, Anthropic seems to lack any plans besides third party contracting. IMHO they got very lucky with xAI and Google having spare capacity and willing to rent it. But what about next year?

lumost 3 hours ago | parent | next [-]

Which also leaves OpenAI vulnerable to NVidia's aggressive pricing. To my knowledge Anthropic is relatively well positioned across multiple compute vendors/hardware providers.

abirch 3 hours ago | parent [-]

It also leaves OpenAI vulnerable to any GPU breakthroughs. You could imagine company X comes up with a XPU that is 100% faster than what's currently there.*

* NVidia GPU, Google TPU, Apple SoC, etc.

karmasimida 2 hours ago | parent | next [-]

You have missed the point

Nvidia has probably monopolized several upstream supplies to manufacture critical chip components for next 2 years, the HBMs and Optics component from LITE, as well as TSM capacity. Let alone those power components they funded themselves.

Let's say you have a genius design, but you will have it close to impossible to compete with Nvidia in getting it to volumes.

Jensen is a player, he isn't fooling around with all these Asian trips just to wine and dine

zozbot234 an hour ago | parent [-]

nVidia can only 'monopolize' these components for itself inasmuch as other industry players are not seriously interested in them. This can change rather quickly.

jiveturkey 2 hours ago | parent | prev [-]

We are still in the short-half-life phase of GPUs. If a 2x faster GPU is on the horizon, why wouldn't OpenAI already be in line to buy? They aren't buying just 1, they are buying multiple datacenters' worth. So they wouldn't be a low priority, back of the line customer.

A short half-life means you are going to quickly dispose of what you have now, anyway. In fact most current datacenters can't even handle Vera Rubin, so I don't think there's short term risk here.

manquer 2 hours ago | parent | prev | next [-]

> their own GPUs

Everyone has critical risk on multiple parts of the supply chain. GPUs and Memory are just things OAI mitigated for.

Power - Bigger bottleneck than GPU or RAM perhaps, New Grid connected capacity is typically 10+ year timescale with lot of regulatory friction. Captive capacity is also quite constrained - now Gas turbines have 7+ year wait time.

There are plenty of hard constraints that OAI cannot easily solve either.

dopa42365 3 hours ago | parent | prev | next [-]

The same 3rd party datacenters from the same few companies that everything else runs on? If there's demand, hyperscalers will supply.

outside1234 an hour ago | parent | prev | next [-]

Don't worry, they will buy up OpenAI's contracts once they implode.

thereitgoes456 3 hours ago | parent | prev | next [-]

Stargate is not real.

It is not clear that running one's own datacenter is a competitive advantage. Why do you think OpenAI can handle that?

Gomotono 3 hours ago | parent [-]

Stargate as a project is real, they only stoped the Stargate UK thing.

Anthropics relativ longterm contract with xAI def shows that they can fill the capacity vs Musk not. OpenAI and Anthropic are both using a lot of capacity so its fair to say that this is an advantage.

If they stay very close competitive (which they are), your own datacenter does reduce token price.

llm_nerd 2 hours ago | parent | prev [-]

>Anthropic is at the mercy of 3rd party datacenter contracts

I mean, this is a bit like complaining that McDonalds doesn't have their own herds of cows. OpenAI actually isn't in the business of buying GPUs or running data centres, and it's pretty weird to think that's an advantage (though it comes up constantly on here, as Anthropic keeps eating OpenAI's lunch).

There are many suppliers that are desperate to fight for Anthropics business, and it has shown an agility to embrace whatever advances in the industry come along. Anthropic is now running across a million or so Google TPUv8s, for instance. If tomorrow someone else comes out with a better GPU/TPU, they can embrace it in a heartbeat.

All while OpenAI sits on their rapidly depreciating GPUs.

Or...actually they won't, because OpenAI doesn't take business advice from HN. The vast majority of OpenAI's compute is from Microsoft, Oracle and so on. They're smart enough to not become a big hardware purchaser when that isn't their business. The core claim of your comment simply isn't true at all, nor is that the direction OpenAI is moving.

CuriouslyC 2 hours ago | parent | prev | next [-]

Anthropic is riding a hype wave as a result of brilliant marketing. OpenAI has the better products, higher reliability and better community relations. I don't expect the situation to continue.

kromokromo an hour ago | parent | next [-]

I disagree. They have been winning lately because of better harnesses and interfaces. New actual decent features are shipped almost weekly on Claude code and Claude desktop.

outside1234 an hour ago | parent | prev | next [-]

OpenAI has a broken business model

hereme888 2 hours ago | parent | prev [-]

I agree

karmasimida 2 hours ago | parent | prev | next [-]

OpenAI isn't shaky or vulnerable, this market will need at least 2 players.

I see most of the surge here comes FOMO AI spending which will have to be dialed down later half of the year, otherwise those companies will have to layoff to fund their AI bill, which is harmful to their business.

Anthropic grabs its bag at the peak, but feast is over.

dyauspitr 2 hours ago | parent | prev | next [-]

Having used Codex though I don’t think OpenAI needs to worry. It’s a solid product and they will share the market.

outside1234 an hour ago | parent | prev | next [-]

Anthropic is the Google to OpenAI's Yahoo.

andy_ppp 3 hours ago | parent | prev | next [-]

I wonder if being consistently candid is a superior business strategy?

wslh 3 hours ago | parent | prev | next [-]

This business and financial race is probably the craziest in human history, so zig-zags are expected. One company may take advantage on one curve while another is stuck in the pits.

ignoramous 4 hours ago | parent | prev | next [-]

How? OpenAI and Antrophic are basically the Big 2 racing away at light speed; the others who can't get near them are perhaps shaky & vulnerable. And sure, there's a garden full of those.

cmiles8 4 hours ago | parent | next [-]

Because the market almost certainly can’t support two foundation model labs given the increasingly little difference across models and the massive sums of cash required to keep it all going. There is no big 2, just a race to survive and be the big 1.

treis 2 hours ago | parent | next [-]

There's at least two markets here. Consumer ad driven and worker augmentation markets. Likely a 3rd as a backend infrastructure provider to a bunch of value add companies.

I think Google has caught up enough to certainly be a player in the consumer ad driven market.

I also don't think only one foundation model adds up. Now that the trail is blazed a dozen companies can likely make a good enough model. The question is if there's a moat to make it winner take all

dchftcs 3 hours ago | parent | prev | next [-]

China will make sure they have a frontier lab, there's plenty of chance for Google to catch up once the compute crunch gets more serious.

TacticalCoder 41 minutes ago | parent [-]

Google needs to catch up on what? Devs mindshare? The latest Opus 4.8 carefully selected benchmarks made sure to pick Gemini 3.1 Pro and not Gemini 3.5 Flash: 3.5 Flash is beating Opus 4.8 on several of the benchmarks Anthropic posted but simply was ignored.

I don't think SOTA-wise Google has a lot of catch up to do.

solenoid0937 3 hours ago | parent | prev | next [-]

Disagree, both are coexisting fine today.

3 hours ago | parent | next [-]
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claytongulick 3 hours ago | parent | prev [-]

A series "H" for $65 billion and no path to profitability is existing fine?

conradkay 2 hours ago | parent | next [-]

https://techcrunch.com/2026/05/20/anthropic-says-its-about-t...

solenoid0937 2 hours ago | parent | prev [-]

Sure, if you think there is even a small chance that OpenAI and Anthropic will get to AGI, it's practically a bargain.

They don't seem too far off to me.

an0malous 3 hours ago | parent | prev | next [-]

It probably can't support any because there's no moat and smaller, open source models are catching up. This is like investing $1T into mainframe computers in 1980.

dotcoma 3 hours ago | parent | prev | next [-]

isn't Google going to win the race anyway ?

conradkay 2 hours ago | parent [-]

That feels really hard to argue now that Anthropic/OpenAI are so much bigger

How the hell do you crush a ~1T company on the one thing they have all their focus on?

watwut 3 hours ago | parent | prev [-]

If it cant support two competing compamies, something is very wrong. Oligopoly is bad, monopoly worst.

Well functioning market is supposed to have many, as in a lot, companies with similar products. To create competition.

andriy_koval 3 hours ago | parent | prev [-]

Google likely has its market share too, you can track how fast Cloud revenue increased.

decimalenough 2 hours ago | parent [-]

It's a gold rush and Google is both selling shovels and digging for gold itself.

fontain 4 hours ago | parent | prev | next [-]

I’m not so sure. We only need to look at Uber’s example of companies realizing they’re spending way too much and trying to rein it in. Claude has excellent revenue but it is highly dependent on very rich technology companies continuing to spend lavishly without seeing returns. The music will stop at some point and Anthropic will be hit the hardest. OpenAI may have less revenue but it is distributed across many, many more customers and use cases, it’s resilient. And even if Anthropic do, somehow, manage to keep their customers spending huge amounts on Claude, they’re very vulnerable to being undercut by OpenAI given codex is pretty much at parity. Anthropic seems more vulnerable to me.

Archonical 4 hours ago | parent | next [-]

I think it's somewhat guaranteed that the music will at least die down a little bit. We saw this with cloud companies being bitten by cloud cost optimization initiatives. I can't imagine we won't see the same with AI, especially as the workforce stops trying to tokenmaxx to save their role.

Gomotono 3 hours ago | parent [-]

If you look at the adoption curve of Claude, I don't think we have reached anything near peak.

Analemma_ 4 hours ago | parent | prev | next [-]

Every week there's at least one post on the HN front page bitching about API errors from Claude because Anthropic doesn't have enough serving capacity. I really don't see any signs they're "spending too much", the actual evidence on the ground seems to be exactly the opposite: constant exasperation that they're not spending enough.

newaccountman2 3 hours ago | parent | next [-]

What he means is the customers realizing they are spending too much on Anthropic.

claytongulick 3 hours ago | parent [-]

I just finished talking to a dev manager friend of mine at a household name company.

He told me they are massively pulling back on the AI stuff.

Right now the lashback is about cost, because that's the most easily measured pain point.

Soon, we'll start seeing a deeper understanding of the quality issues. At that point, it's likely this whole experiment gets firmly put in a bin of the toolbox where it belongs.

icedchai 2 hours ago | parent [-]

I know people at medium size companies where they are tracking AI costs very carefully. They are pulling back to levels under $100/week in AI spend per engineer, encouraging use of lower quality, lower cost models, etc.

vidarh 2 hours ago | parent | next [-]

You can run models near 24/7 per developers at that price with judicious choice of subscriptions, so that's not really saying much.

Most people don't yet have mature enough setups to fully exploit that level of use.

icedchai an hour ago | parent [-]

With open models, perhaps. But $100/week isn't going to get you 24/7 use of Claude Sonnet.

decimalenough 2 hours ago | parent | prev [-]

I don't doubt you, but $100 is approximately the cost to company of one hour of dev time. If companies end up being willing to spend only 2% of their dev budget on AI, this bubble is not going to last long.

icedchai an hour ago | parent [-]

I agree. $100/week is absurdly low if you want to allow for any real experimentation and productive use of these tools.

CuriouslyC 2 hours ago | parent | prev | next [-]

Unlike OpenAI, a lot of Claude's infra problems are self-inflicted and not completely raw-capacity related.

fontain 3 hours ago | parent | prev [-]

I mean Anthropic’s customers are spending too much on Claude. Anthropic’s customers are encouraging tokenmaxxing amongst their employees; measuring employees by token usage. That’s great for Anthropic’s short term revenue numbers but terrible long term because at some point companies will realize tokenmaxxing is not good. OpenAI is much less exposed to tokenmaxxing, which is a good thing.

solenoid0937 3 hours ago | parent [-]

> at some point companies will realize tokenmaxxing is not good

Why? Have we figured out the limits of what agents can do?

> OpenAI is much less exposed to tokenmaxxing

I don't think this is true, from my own experience & chatting with my acquaintances.

fontain 3 hours ago | parent [-]

Tokenmaxxing is the practice of measuring employees by how many tokens they use, encouraging employees to burn tokens needlessly, it is unrelated to what agents can do.

If a task can be completed with 100k tokens but employees are considered better performers if they complete it with 500k tokens instead… that’s unsustainable and cannot possibly benefit Anthropic in the long term.

At some point, Amazon and Uber and so on and so forth are going to realize that actually, employees using 100k tokens or even 50k tokens is better than 500k and Anthropic’s revenue will fall off a cliff.

solenoid0937 2 hours ago | parent [-]

Oh. I thought tokenmaxxing was just removing token limits

fontain 2 hours ago | parent [-]

I think removing limits is fine. There’ll be overspend and at some point adjustments in expectations as we learn more about the value that can be delivered which will likely result in a reduction in spend, but even now, during this period of relative immaturity about measuring the value of output, so long as more tokens = more output, I don’t think the introduction of limits represents much of a risk to Anthropic and OpenAI. Tokenmaxxing is uniquely bad because it is not tied to any additional value (more tokens for the same output).

And I could be wrong about tokenmaxxing being a Claude specific problem but as far as I can tell, all of the major companies encouraging employees to maximize their token usage are Claude Code users. And the music has to stop on that at some point, whether because the companies run out of money or because they learn better ways of measuring productivity in the AI age. And if tokenmaxxing is what is driving Anthropic’s lead in revenue, it could be catastrophic to lose that, because Anthropic are spending billions of dollars per month on the infrastructure to support it.

If tokenmaxxing is evenly distributed between Anthropic and OpenAI then they’ll both hurt but equal hurt shouldn’t disadvantage either much.

4 hours ago | parent | prev [-]
[deleted]
henry2023 3 hours ago | parent | prev | next [-]

“Caballo que alcanza, gana”

ripvanwinkle 4 hours ago | parent | prev [-]

[dead]