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Anthropic 发布 Claude Haiku 5.5：标价降 90%，但新 tokenizer 带来隐性成本
Anthropic 推出 Claude 5.5 系列轻量模型 Claude Haiku 5.5，10 万 token 以内请求的输入、输出价格分别降至每百万 token 0.10 美元和 0.50 美元，较上代标价下降 90%，面向高并发、低延迟和低成本场景，并首次引入自适应思考与动态调整功能。官方同时提示，该模型采用与高级模型相同的新 tokenizer，相同文本生成的 token 数增加，长文本任务可能多消耗 25%–30% token，实际成本降幅约 75%；单次请求超过 10 万 token 后，输入输出单价将升至基础价的 5 倍。
AI推荐理由 内容涉及 Anthropic 发布 Claude Haiku 5.5 轻量模型，给出具体定价（输入 $0.10/百万 token、输出 $0.50/百万 token，较上代标价降 90%）、适用场景（高并发、低延迟、实时客服、摘要抽取、数据分类）以及自适应思考与动态调整功能，并指出新 tokenizer 导致长文本任务 token 数增加 25%–30%、实际成本降幅约 75%，单请求超 10 万 token 后单价升至 5 倍。这些是开发者评估成本与选型时可用的具体信息。局限在于来源为 AIbase 转述，未提供官方公告链接或可验证的基准数据，'隐性成本'部分仅引用官方警告与测试说法，缺乏独立验证，因此不能视为官方首发或已证实效果。
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正文
Anthropic Launches Claude Haiku 5.5! Price Drops 90% but Faces Hidden Costs
AIbase基地
Published inAI News · 3 min read · Oct 8, 2026
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Anthropic recently officially launched the latest lightweight model in the Claude 5.5 series, Claude Haiku 5.5. For regular requests within 100,000 tokens, the input and output prices have been reduced to $0.10 and $0.50 per million tokens, respectively, representing a 90% drop in listed prices compared to the previous generation.
As the fastest responding model currently available, Haiku 5.5 focuses on high-concurrency, low-latency, and cost-effective scenarios, making it highly suitable for frequent tasks such as real-time customer service, summary extraction, and data classification. Additionally, the system has introduced adaptive thinking and dynamic adjustment features for the first time, which can automatically balance reasoning depth and computing costs based on task complexity.
New Tokenization Mechanism Attracts Attention, Actual Cost May Increase
However, the official also warned that due to Haiku 5.5 using the same new tokenizer as advanced models, the number of tokens generated from the same text input has increased. Testing shows that long-text tasks may consume 25% to 30% more tokens, so the overall cost reduction after considering actual workloads is approximately 75%.
It should be noted that once a single request exceeds the 100,000-token threshold, both the input and output unit prices will surge to five times the base price. This means developers must accurately assess token consumption for specific workflows while enjoying the low-unit-price advantage, to avoid falling into hidden cost traps.
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