Claude Haiku 5.5
https://simonwillison.net/2026/Oct/7/claude-haiku-5-5/📌 Claude Haiku 5.5降價追平GPT-6 Luna,但藏了個tokenizer陷阱
TL;DR:Haiku 5.5價格打平GPT-6 Luna,但新tokenizer讓實際花費悄悄變貴。
一年前,Anthropic的Haiku 4.5定價是GPT-6 Luna的整整10倍。今天Anthropic終於把價格拉平——但魔鬼藏在一個大家容易忽略的細節裡:tokenizer。
🤔 Haiku 4.5真的老了
Simon Willison指出,前一代Haiku 4.5上市快一年,定價是每百萬input token 1美元、output token 5美元,即使在發布當時也偏貴,更是OpenAI GPT-6 Luna(上個月發布)定價的10倍。
📊 新定價怎麼算
新的Haiku 5.5把價格直接對齊GPT-6 Luna:兩者在10萬token以內都是每百萬token input 0.10美元、output 0.50美元。差異出現在超過門檻之後:
| 模型 | 門檻內價格(input/output) | 超過門檻後價格 |
|---|---|---|
| Claude Haiku 5.5 | $0.10 / $0.50(10萬token內) | $0.50 / $2.50 |
| GPT-6 Luna | $0.10 / $0.50(27.2萬token內) | $0.20 / $0.75 |
也就是說,工作量在10萬token以內,兩家價格一樣,但Haiku 5.5在benchmark分數上報得更高;超過10萬token之後,Luna的漲幅遠比Haiku 5.5溫和,整體更划算。
💡 還有一個隱藏漲價:新tokenizer更「貪」
Willison用自己的Claude Token Counter工具測試,發現同一段長prompt在Haiku 5.5上耗用的token數量,大約是Haiku 4.5的1.25倍。換句話說,即使牌面單價打平了,實際帳單可能因為tokenizer效率變差而悄悄墊高。
🧩 用鵜鶘畫圖測試推理強度
Willison照慣例請模型畫鵜鶘,分別測了low、medium、high、xhigh、max五個推理強度。新Haiku不能關掉推理,預設是medium。結果除了low以外的每個強度都畫出了還算像樣的自行車車架(他測試系列的另一個固定梗)。low強度的鵜鶘花費0.0936美分、耗時7秒;max強度則花了5分9秒,但也只花了3.3826美分。相比之下,一年前Haiku 4.5畫的鵜鶘花了0.7583美分(當時不支援推理強度選項),畫得很糟。
📊 同天的另外兩個公告
Anthropic同時宣布把Sonnet 5.5的cache read價格砍半,並且為Max與Team訂閱戶加碼每月API額度:Max 5x用戶每月100美元、Max 20x用戶200美元、Team訂閱戶最高500美元(團隊內共用)。額度金額剛好對應訂閱費用本身,且可以設定關閉API自動加值,餘額用完就直接停止請求,不會有意外扣款的風險;但額度不會累積到下個月,用不完就作廢。文中也提到,OpenAI目前仍允許Codex訂閱額度挪來做個人API用量,對重度API使用者來說仍是更好的方案,這次Anthropic的新額度制度至少拉近了一些差距。
🎯 實務啟示
選模型時別只看牌面單價:如果你的工作負載大多落在10萬token以內,Haiku 5.5和GPT-6 Luna價格相同,而Haiku報的benchmark分數更高,值得一試;但如果常跑長上下文(超過10萬甚至27萬token),Luna的漲幅曲線明顯更溫和。另外,換模型時務必重新估算token用量,新tokenizer可能讓同樣的prompt變貴,別只拿舊的成本估算套用到新模型上。訂閱Max或Team的團隊也該去Billing設定裡確認是否已經領取新的API額度,這筆錢不會自動累積。
🔗 來源
- 標題:Claude Haiku 5.5
- 作者/機構:Simon Willison
- 連結:https://simonwillison.net/2026/Oct/7/claude-haiku-5-5/
#ClaudeHaiku #Anthropic #LLMPricing #GPT6 #TokenCounting #AIBenchmark #PromptEngineering #SonnetAPI #LLM #DeveloperTools
原始資料 Simon Willison · 收集於 2026-10-07
摘要原文
As previously promised , here’s Anthropic’s new fast, low cost model: Introducing Claude Haiku 5.5 . The previous Haiku, 4.5, was very much showing its age. It came out almost a year ago , and was priced at $1/million input and $5/million output—relatively expensive even back then, and a full 10x the price of OpenAI’s GPT-6 Luna , released last month. The new Haiku exactly matches the price of GPT-6 Luna—$0.10/$0.50—up to 100,000 tokens. Beyond 100,000 tokens the price increases 5x to $0.50/$2.50. Luna itself has a price increase at 272,000 tokens but only to $0.20/$0.75. Haiku 5.5 also uses a new, less generous tokenizer. My Claude Token Counter tool shows that the same long prompt uses around 1.25x as many tokens with Haiku 5.5 compared to Haiku 4.5, so there’s a hidden price increase there. If your workloads fit in 100,000 tokens, Haiku is the same price as Luna and reports higher benchmark scores. Above 100,000 tokens, Luna looks like a much better deal. The most recent release of llm-anthropic finally fixed it so I don’t need to ship a new version of that plugin for every new model. I tested the new model like this: Here are pelicans for low, medium, high, xhigh, and max . The new Haiku doesn’t let you disable reasoning, and defaults to medium . I got a good bicycle frame for everything beyond low . The low effort pelican cost 0.0936 cents and took 7 seconds. This max effort pelican took 5 minutes 9 seconds to generate, but still only cost me 3.3826 cents : For comparison, here’s the pelican I got a year ago from Haiku 4.5 (for 0.7583 cents —Haiku 4.5 did not support reasoning levels). It sucked at drawing pelicans: In addition to Haiku 5.5, Anthropic announced today that they are halving the price of cache reads for Sonnet 5.5. They’ve also added API credits to subscription plans: Second, this week, we’ll roll out a new monthly API credit to all Max and Team subscribers for use on the Claude Platform . Max 5x users will get $100 in credits per month, Max 20x users will get $200, and Team subscribers will receive up to $500, pooled across their users. Claiming this is pleasantly easy: navigate to Settings -> Billing and select the API organization that should benefit from the credits every month: The API credits exactly match the cost of the subscription itself. This is really generous—it makes it much easier for subscribers to use the API. Anthropic also let you disable auto-reload for the API, with the consequence that “API requests will stop when your balance runs out”—exactly what you want if you’re planning to burn through those API credits without risk of a nasty billing surprise . Note that the monthly credits do not roll over —use them or lose them. OpenAI still allow you to use your Codex subscription for personal API use, which works out as a better deal for heavy API users. This new credit scheme goes at least some way to overcoming that difference. This is Claude Haiku 5.5 by Simon Willison, posted on 7th October 2026 . Previous: We're going to need default hard budget caps on pretty much everything Sponsor me for $10/month and get a curated email digest of the month's most important LLM developments.
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