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Measuring Claude 4.7's tokenizer costs

claudecodecamp.com

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Re: Measuring Claude 4.7's tokenizer costs

#321

Earlier quoted context omitted.

Yep, and I just made a recommendation that was essentially "never enable Opus 4.7" to my org as a direct result. We have Opus 4.6 (3x) and Opus 4.5 (3x) enabled currently. They are worth it for planning . At 7.5x for 4.7, heck no. It isn't even clear it is an upgrade over Opus 4.6.

Microsoft are going to be removing Opus 4.5 and 4.6 from Copilot soon so I'd enjoy the lower cost while it lasts.

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Re: Measuring Claude 4.7's tokenizer costs

#322
post #291
post #266

I did some work yesterday with Opus and found it amazing. Today we are almost on non-speaking terms. I'm asking it to do some simple stuff and he's making incredible stupid mistakes: This is the third time that I have to ask you to remove the issue that was there for more than 20 hours. What is going on here? and at the same time the compacting is firing like crazy. (What adds ~4 minute delays every 1 - 15 minutes) |…

They won't. These are not "issues", it's them trying to push the models to burn less compute. It will only get worse.

If you've not seen Common People Black Mirror episode I strongly recommend it.

The only misprediction it makes is that AI is creating the brain dead user base...

You have to hook your customers before you reel them in!

https://www.netflix.com/gb/title/70264888?s=a&trkid=13747225...

Re: Measuring Claude 4.7's tokenizer costs

#323

LLMs exist on a logaritmhic performance/cost frontier. It's not really clear whether Opus 4.5+ represent a level shift on this frontier or just inhabits place on that curve which delivers higher performance, but at rapidly diminishing returns to inference cost. To me, it is hard to reject this hypothesis today. The fact that Anthropic is rapidly trying to increase price may betray the fact that their recent lead is a…

Yeah. Combine this with much of Corpos right now using a “burn as many tokens as you need” policy on AI, the incentive is there for them to raise price and find an equilibrium point or at least reduce the bleed.

Re: Measuring Claude 4.7's tokenizer costs

#324
post #205
post #171

Earlier quoted context omitted.

> It wouldn't surprise me if in 2-3 years the "max" plan is $800 or $2000 even. I'd rather be surprised if they are still doing business by then.

I would not be surprised at all, a $1,000/mo tool that makes your $20,000/mo engineer a lot more productive is an easy sell. I’m guessing we’re gonna have a world like working on cars - most people won’t have expensive tools (ex a full hydraulic lift) for personal stuff, they are gonna have to make do with lesser tools.

No engineer will cost 20.000 bucks a month at this point in time. Offshoring is still happening aggressively.

Re: Measuring Claude 4.7's tokenizer costs

#326
post #43

Earlier quoted context omitted.

yeah thats is my biggest issue - im okay with paying 20-30% more but what is the ROI? i dont see an equivalent improvement in performance. Anthropic hasnt published any data around what these improvements are - just some vague “better instruction following"

Its enshittificating real fast. They'll just keep releasing model after model, more expensive than the last, marginal gains, but touted as "the next thing". Evangelists will say that they're afraid, it's the future, in 6 months it's all over. Anthropic will keep astroturfing on Reddit. CEOs will make even more outlandish claims. You raised a good point, what's a good metric for LLM performance? There's surely all the…

This is most likely trajectory I fear. It reminds me a lot of Oracle, where they rebrand and reskin products just to change pricing/marketing without adding anything.

Re: Measuring Claude 4.7's tokenizer costs

#327

Earlier quoted context omitted.

productivity (tokens per second per hardware unit) increases at the cost of output quality, but the price remains the same. both Anthropic and OpenAI quantize their models a few weeks after release. they'd never admit it out loud, but it's more or less common knowledge now. no one has enough compute.

Pretty bold claim - you have a source for that?

There is no evidence TMK that the accuracy the models change due to release cycles or capacity issues. Only latency. Both Anthropic and OpenAI have stated they don't do any inference compute shenanigans due to load or post model release optimization.

Tons of conspiracy theories and accusations.

I've never seen any compelling studies(or raw data even) to back any of it up.

Re: Measuring Claude 4.7's tokenizer costs

#328
post #316

Earlier quoted context omitted.

productivity (tokens per second per hardware unit) increases at the cost of output quality, but the price remains the same. both Anthropic and OpenAI quantize their models a few weeks after release. they'd never admit it out loud, but it's more or less common knowledge now. no one has enough compute.

Do you have a source for that claim?

my source is that people have been noticing this since GPT4 days.

https://arxiv.org/pdf/2307.09009

but of course, this isn't a written statement by a corporate spokespersyn. I don't think that breweries make such statements when they water their beer either.

Re: Measuring Claude 4.7's tokenizer costs

#329

Good lord. Reading all these comments makes me feel so much better for dumping anthropic the first time their opus started becoming dumber (circa Month ago). It feels like most people in this thread are somehow bound to Claude, even though it is alread fully enshittfied.

Given that they haven’t even gone public yet, doesn’t that seem like putting the cart before the horse a bit? And if they’re already enshittifying it won’t be long until the other placers start doing so as well. Have we passed peak LLM intelligence and are we now watching it degrade as they fail to roll these new advanced models out to their increasing user base? Are the finances not adding up?

Lots of questions.

Re: Measuring Claude 4.7's tokenizer costs

#330
post #52

Earlier quoted context omitted.

They're also getting closer to IPO and have a growing user base. They can't justify losing a very large number of billions of other people's money in their IPO prospectus. So there's a push for them to increase revenue per user, which brings us closer to the real cost of running these models.

I agree, and I'm also quite skeptical that Anthropic will be able to remain true to its initial, noble mission statement of acting for the global good once they IPO. At that point you are beholden to your shareholders and no longer can eschew profit in favor of ethics. Unfortunately, I think this is the beginning of the end of Anthropic and Modei being a company and CEO you could actually get behind and believe that…

> At that point you are beholden to your shareholders

No not really, you can issue two types of shares, the company founders can control a type of shares which has more voting power while other shareholders can get a different type of shares with less voting power.

Facebook, Google has something similar.

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