Claude's tokenizers have actually been getting less efficient over the years (I think we're at the third iteration at the least since Sonnet 3.5). And if you prompt the LLM in a language other than English, or if your users prompt it or generate content in other languages, the costs go higher even more. And I mean hundreds of percent more for languages with complex scripts like Tamil or Japanese. If you're interested…
Measuring Claude 4.7's tokenizer costs
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Re: Measuring Claude 4.7's tokenizer costs
#102Re: Measuring Claude 4.7's tokenizer costs
#103https://docs.github.com/fr/copilot/reference/ai-models/suppo...
Re: Measuring Claude 4.7's tokenizer costs
#104This is already becoming apparent as users are seeing quality degrade which implies that anthropic is dropping performance across the board to minimize financial losses.
Re: Measuring Claude 4.7's tokenizer costs
#105IMHO there is a point where incremental model quality will hit diminishing returns. It is like comparing an 8K display to a 16K display because at normal viewing distance, the difference is imperceptible, but 16K comes at significant premium. The same applies to intelligence. Sure, some users might register a meaningful bump, but if 99% can't tell the difference in their day-to-day work, does it matter? A 20-30% cost…
Re: Measuring Claude 4.7's tokenizer costs
#106Earlier quoted context omitted.
Skeptical is a light way to put it. It is essentially a forgone conclusion that once a company IPOs, any veil that they might be working for the global good is entirely lifted. A publicly traded company is legally obligated to go against the global good.
It’s not really, companies like GM used to boast about how well they treated their employees and communities. It was Jack Welch and a legion of like-minded arseholes who decided they should be increasingly richer no matter who or what paid for it.
Re: Measuring Claude 4.7's tokenizer costs
#1074.7 one-shot rate is at least 20-30% higher for me
Re: Measuring Claude 4.7's tokenizer costs
#108IMHO there is a point where incremental model quality will hit diminishing returns. It is like comparing an 8K display to a 16K display because at normal viewing distance, the difference is imperceptible, but 16K comes at significant premium. The same applies to intelligence. Sure, some users might register a meaningful bump, but if 99% can't tell the difference in their day-to-day work, does it matter? A 20-30% cost…
Re: Measuring Claude 4.7's tokenizer costs
#109Re: Measuring Claude 4.7's tokenizer costs
#110Not only that but they seem to have cut my plan ability to use Sonnet too. I have a routine that used to use about 40% of my 5 hour max plan tokens, then since yesterday it gets stopped because it uses the whole 100%. Anyone else experience this?