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Claude Haiku 5.5評測:降價90%,但更燒token | Claude Haiku 5.5 Review: 90% Cheaper, Burns More Tokens

By Kit 小克 | AI Tool Observer | 2026-10-08

🇹🇼 Claude Haiku 5.5評測:降價90%,但更燒token

Anthropic在2026年10月7日發布Claude Haiku 5.5,主打API價格砍90%、context window衝上1M token,直接對標OpenAI的GPT-6 Luna。這是Anthropic目前最便宜、最快、也最聰明的小模型,但降價背後藏著一個容易被忽略的細節:實際跑任務時燒的token量,可能完全抵銷掉省下來的單價。

Claude Haiku 5.5是什麼?

Claude Haiku 5.5是Anthropic最新一代小型模型,支援多模態輸入、1M token context window,也是Haiku系列第一個提供「effort調節」的模型,讓使用者自己選擇要省錢還是要聰明。

Claude Haiku 5.5價格怎麼算?

100K token以內的prompt,輸入價每百萬token0.1美元、輸出0.5美元,快取輸入只要0.01美元;超過100K token的部分則漲到輸入0.5美元、輸出2.5美元。平均下來比前代Haiku 4.5便宜約75%,單價直接對齊GPT-6 Luna。

降價90%是不是真的省錢?

單看$/M token確實便宜很多,但這不是全部故事。根據Artificial Analysis的獨立測試,Claude Haiku 5.5在跑完同一組benchmark任務時,輸出token和推理token用量大約是GPT-6 Luna的3.5倍——即使它在全部六項benchmark上都贏過對手。換句話說,單價砍90%,但如果任務要多燒3倍以上的token才能做完,實際帳單降幅會被大幅稀釋。

  • 新的tokenizer(跟Claude 4.7之後同款)讓同一段文字,在Haiku 5.5上比在Haiku 4.5上多算約30%的token
  • 適合高量、低成本任務:摘要、資料庫查詢、分類請求
  • 已上架Claude Platform、AWS、Google Cloud、Microsoft Azure

Claude Haiku 5.5值得換嗎?

如果你的用途是簡單分類、摘要、結構化查詢,Haiku 5.5的1M context和effort調節選項確實好用,換下去划算。但如果你的任務需要多輪推理,建議先拿自己的真實流量做A/B測試,比較「每個任務實際花多少錢」,而不是只看牌價上的$/M token——這才是這次降價事件最該學到的事。

好不好用,試了才知道。


🇺🇸 Claude Haiku 5.5 Review: 90% Cheaper, Burns More Tokens

Claude Haiku 5.5 launched on October 7, 2026, with Anthropic cutting API prices by up to 90% and pushing the context window to 1M tokens — a direct shot at OpenAI's GPT-6 Luna. It's Anthropic's cheapest, fastest, and most capable small model yet. But there's a catch buried under the headline discount: how many tokens it actually burns to finish a task.

What is Claude Haiku 5.5?

Claude Haiku 5.5 is Anthropic's newest small model, with multimodal input, a 1M-token context window, and the first Haiku-class adjustable effort setting — letting you trade cost for intelligence on demand.

How much does Claude Haiku 5.5 cost?

For prompts under 100K tokens, pricing is $0.10/M input and $0.50/M output, with cached input at just $0.01/M. Above 100K tokens, it jumps to $0.50/M input and $2.50/M output. On average, that's about 75% cheaper than Haiku 4.5, and it matches GPT-6 Luna's price point exactly.

Is the 90% price cut actually cheaper in practice?

The per-token price is real, but it's not the whole story. Independent testing by Artificial Analysis found Claude Haiku 5.5 uses roughly 3.5x more output and reasoning tokens than GPT-6 Luna to complete the same benchmark tasks — even though it wins all six benchmarks outright. Cut the unit price 90% but burn 3.5x more tokens to finish the job, and your actual bill shrinks a lot less than the sticker price suggests.

  • The new tokenizer (shared with Claude 4.7 and later) makes the same text count ~30% more tokens than on Haiku 4.5
  • Best fit for high-volume, low-complexity work: summarization, database lookups, classification
  • Available now on the Claude Platform, AWS, Google Cloud, and Microsoft Azure

Should you switch to Claude Haiku 5.5?

If your workload is simple classification, summarization, or structured lookups, the 1M context and effort toggle make Haiku 5.5 worth the switch. But for anything involving multi-step reasoning, run your own traffic through an A/B test and compare real cost-per-task — not just the $/M token on the pricing page. That's the actual lesson from this price war.

好不好用,試了才知道 — you won't know until you try it.

Sources / 資料來源

常見問題 FAQ

Claude Haiku 5.5多少錢?

100K token以內的prompt,輸入每百萬token0.1美元、輸出0.5美元;超過100K token則輸入0.5美元、輸出2.5美元,快取輸入最低0.01美元。

Claude Haiku 5.5比Haiku 4.5便宜多少?

平均便宜約75%,部分場景的輸入價砍到90%,單價直接對齊OpenAI GPT-6 Luna。

Claude Haiku 5.5降價是不是真的划算?

單價便宜沒錯,但實測顯示它完成同樣任務要燒約3.5倍的輸出與推理token,實際帳單降幅會比單價降幅小很多,要看每個任務的實際花費而非牌價。

Claude Haiku 5.5支援多大的context window?

支援1M token的context window,並且是Haiku系列第一款提供effort(努力程度)調節選項的模型。

Claude Haiku 5.5在哪裡可以用?

已上架Claude Platform、Amazon Web Services、Google Cloud和Microsoft Azure,即日起可直接呼叫。

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