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程序猿 | 美股ETF韭菜一枚
Programmer | US ETF DCA victim
Code runs fast, wallet runs faster💻📉🚀

[Www @taibaili3]

@github 自动模型经常给我选一些又贵又过时的模型 能不能优化一下算法或者支持禁止部分模型啊😕

[Www @taibaili3]

@Delroy715 我在copilot上使用grok 4.6感觉消耗很快 🤕

[Www @taibaili3]

@wei_wang tps多少？

[Www @taibaili3]

原来还能这样分🤔

[Tibo @thsottiaux]

On tokens and prices per token.

I said I’d write more about this, so here goes: an OpenAI token != another model’s token. We compare AI prices in dollars per million tokens as if a token were a standardized unit, like a gram or a kilowatt-hour. It isn’t. Different models use and produce the exact same text using different numbers of tokens, which means a lower price per token does not necessarily mean a lower bill.

Imagine two identical pizzas. One is cut into 8 slices at $2 each. The other is cut into 16 slices at $1.25 each. The second place advertises cheaper slices, but the whole pizza costs $20 instead of $16. Bummer ... your stomach doesn't actually care about the number of slices you just ate.

I know you are hungry now, but back to tokens. In one small comparison spanning English, technical, multilingual, and numerical text, the tokenizer we use for GPT-5.6 Sol used 766 tokens versus an estimated 1,170 for Claude Opus 5. That's a very significant difference of about 34.5% fewer tokens. You can get the same exact text, but pay for all those extra tokens. The price per token doesn't really tell this story.

Even correcting for tokenizer differences misses the bigger point. What actually matters is price per successful outcome, and for that you can use benchmarks as a starting point, but really you have to try it and measure on your own use cases.

That's all. May the tokens flow.

[Www @taibaili3]

@elonmusk 太棒了 elon

[Www @taibaili3]

@Ander06785965 @wshuyi 需要重启

[Www @taibaili3]

@imwsl90 那应该去哪

[Www @taibaili3]

@AYi_AInotes @Derekyyang 没差多少吧

[Www @taibaili3]

@chasen_liao 为什么我的额度只有一美元

[Www @taibaili3]

@xmgplus 为什么我聊天的时候一直是5.5 mini

[Www @taibaili3]

@VadimStrizheus 我是免费用户 为什么我不能选择我想要使用的模型？

[Www @taibaili3]

@ismee_111 这个钱也不好赚
梯子，收款方式，付款方式，最难的关注量要求
都不简单啊…

[Www @taibaili3]

@meetqy 任务也有简单和困难的区分🤔

[Www @taibaili3]

@Lonely__MH 为啥感觉千问热度低很多呢🤔

[Www @taibaili3]

@AI_Jasonyu 我已经收到邮件了，不是传言

[Www @taibaili3]

@MKBHD 🗓

[Www @taibaili3]

@anorth_chen GitHub copilot现在也是coding agent方向了

[Www @taibaili3]

@YongQuan 不是说言论自由吗🤣

[Www @taibaili3]

@xrpcrystal @DrEliDavid 在中国安装一个适合20平方米房间的空调，花费仅仅不到300💲😮

[Www @taibaili3]

@crypto_daha 🤣