Replying to @⁨eicker@lemmy.world⁩

Anthropic made a smart business decision to mostly focus on enterprise customers rather than regular consumers. Only around 10% of their revenue comes from their heavily subsidized subscription plans. The remaining 90%ish comes from API and enterprise usage billed at per-token rates, which is something that’s actually profitable for them. They have a decent margin on token rates. It’s R&D, hardware, and subscriptions that are putting them in the red at the moment.

I suspect they’ll discontinue subscriptions some time after their IPO. Even though subscriptions are only responsible for 10% of revenue, they consume 42% of their inference compute power (www.theregister.com/ai-and-ml/2026/10/…/5301470)

In comparison, around 70% of OpenAI’s revenue comes from subscriptions. Without subsidized subscriptions, they’d lose most of their customers.

theregisterAnthropic Claude subscription plan provides more value than OpenAI's, study saysResearch firm not exactly thrilled by House of Altman's subscription changes
Edited ⁨⁨Oct⁩ ⁨15⁩, ⁨2026⁩, ⁨08:05⁩⁩en

Replying to @⁨eicker@lemmy.world⁩

AI is an enterprise product

I think Google and Meta are well-positioned to provide AI services to regular people, since they both already have a large user base, existing cash flow from other non-AI products (meaning they can subsidize AI features for as long as they need to), and can probably outlast any startup. Google especially easily have enough paid users and advertisers to cover costs for free users.

Most of thr other AI companies will probably all end up focusing on / pivoting towards enterprise use cases though, for the higher prices and stability of long-term contracts.

Replying to @⁨schipelblorp@sh.itjust.works⁩

The funniest outcome would be hyperscalers spending billions convincing enterprises they need AI, only for those enterprises to deploy open-weight models on their own hardware. After decades of vendor lock-in, »we can run this ourselves« might be the most expensive sentence Microsoft ever hears. However, the reality in many organisations is also that they opt for the supposedly safer choice of turning to a third party, rather than taking action themselves.

Replying to @⁨dan@upvote.au⁩

Yeah I have the $200/m sub for work and I’m using about $200/day volume of tokens at API rate. Obviously this isn’t a sustainable business model.

Am I prepared to pay full rate? Not yet, but if models keep improving at the rate they are then probably at some point. Opus 5.5 has been a huge increase in quality at a cheaper cost to deliver a task.

With next gen gpus and better models reducing the ‘cost per task’ I think they’ll get there.

Replying to @⁨dan@upvote.au⁩

I’m surprised how easy it is to blow through hundreds of dollars in Claude tokens at work. They certainly aren’t subsidizing anything. If the Qwen 3.8 27B model I run on my gaming PC at home were priced like Claude, I’d probably have a $1000 a month bill.

Edit:

I bought a 7900 XTX a couple months ago for less than 2 months worth of Claude bills at work that runs 3.8 27B quite well at 200k context that is pretty on par with Sonnet 5.

Maybe Anthropic isn’t bleeding money as fast as they would otherwise be, but their premium pricing is pretty hard to justify. If Qwen 4 27B keeps pace with Sonnet 5.5, then we’ll basically have a Fable 5.1 class model that runs on a gaming PC.

Replying to @⁨melfie@lemmy.zip⁩

Don’t know if it was you but someone pointed out a few months ago that the 7900 was the last 24GB card to be found for less than $1k and I grabbed one as an upgrade from a 3070. Running local models it’s less reliable than Claude at work, but not by much, and it was a good upgrade for gaming.

Before the return period was up it had gone from ~$900 to past $1.2k and I wasn’t eligible for a repair/replacement just a refund, the market is completely sideways.

Replying to @⁨dan@upvote.au⁩

Nobody has extremely good data about this because it’s in their interest to make that as opaque as possible, but the reporting I’ve seen suggests that it is, if not the majority at least an extremely large fraction, and even where it’s used for in-house software development that is largely bankrolled by VC hoping to gain a competitive advantage with AI. It doesn’t really appear that the API pricing offers better cost/productivity than just hiring junior devs (lol).