Anthropic发布Claude Opus 5.5:优化长上下文编程成本
Coding sessions are longer and use more context. Claude Opus 5.5 is built with that in mind.
Opus系列重大迭代,直接针对当前Agent编程高算力消耗痛点给出定价与性能双重优化方案,对重度使用Coding Agent的团队极具参考价值。
Coding sessions are longer and use more context. Claude Opus 5.5 is built with that in mind.
编码会话更长,使用的上下文更多。Claude Opus 5.5 的设计正是基于这一考量。
Our latest Opus model is priced and trained to optimize costs for how developers code now.
我们最新的 Opus 模型在定价和训练上针对开发者当前的编码方式进行了成本优化。
- Category
- Claude Code
- Enterprise AI
- Product
- Claude Code
- Claude Enterprise
- Date
- September 24, 2026
- Reading time
- 5
- min
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- https://claude.com/blog/claude-opus-5-5-built-for-coding-sessions-that-use-more-context
- Author(s)
- Michael Segner
- 类别
- Claude Code
- 企业 AI
- 产品
- Claude Code
- Claude Enterprise
- 日期
- 2026年9月24日
- 阅读时间
- 5
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- 复制链接
- https://claude.com/blog/claude-opus-5-5-built-for-coding-sessions-that-use-more-context
- 作者
- Michael Segner
We estimate Claude Opus 5.5 costs about 40% less to run than Opus 5 for typical workloads billed by token. For developers, exactly how those savings stack up matters.
据估算,对于按 token 计费的典型工作负载,运行 Claude Opus 5.5 的成本比 Opus 5 低约 40%。对开发者而言,这些节省的具体幅度至关重要。
If you pay by the token, you will see the greatest cost difference for longer-running, higher context sessions–the exact type of Claude Code sessions that have become more prevalent in the last six months.
如果您按 token 付费,将在运行时间更长、上下文更多的会话中看到最大的成本差异——这正是过去六个月中日益普遍的 Claude Code 会话类型。
This post will dive into the mechanics of what makes Opus 5.5 cost effective for how developers are coding today (and likely tomorrow).
本文将深入探讨使 Opus 5.5 在当今(及未来)开发者编码方式下具备成本效益的机制。
Claude Code trends
Claude Code 趋势
We've pulled aggregate data on how developers have been using Claude Code from March to September 2026. As model capabilities improve, developers have been deploying agents in increasingly sophisticated ways. The number of prompts per session has been steady, but we found some interesting behaviors:
我们汇总了 2026 年 3 月至 9 月期间开发者使用 Claude Code 的数据。随着模型能力的提升,开发者正以越来越复杂的方式部署智能体。每次会话的提示词数量保持稳定,但我们发现了一些有趣的行为:
- Claude works 3.3x longer on each prompt with more than 40% more model calls per prompt. There are 68% fewer interruptions.
- Developers are about twice as likely to have a tool server connected or use a skill and a third less likely to paste text into a prompt.
- Context per request has grown 2.6x. The input to output token ratio moved from 189:1 to 324:1.
- Claude 在每个提示词上的处理时间延长至原来的 3.3 倍,每个提示词的模型调用次数增加超过 40%,中断次数减少 68%。
- 开发者连接工具服务器或使用技能的可能性约为之前的两倍,而将文本粘贴到提示词中的可能性则降低了三分之一。
- 每次请求的上下文量增长了 2.6 倍。输入与输出的 token 比例从 189:1 变为 324:1。
All of this points to developers aiming a harder working, better informed Claude toward bigger, more open-ended tasks. For these types of sessions, the economic impact of context engineering is compounded.
所有这些都表明,开发者正致力于让工作更努力、信息更全面的 Claude 处理更大、更开放式的任务。对于这类会话,上下文工程的经济影响被进一步放大。
Simply put, Claude reads more tokens. You need to make sure all the context you are providing is necessary, and that as much of that context as possible is reading from cache.
简单来说,Claude 读取了更多的 token。你需要确保提供的所有上下文都是必要的,并尽可能多地从缓存中读取这些上下文。
What makes Opus 5.5 cost effective for long, context heavy sessions
为什么 Opus 5.5 在长且上下文密集的会话中具有成本效益
There are three changes that make long-running, context-heavy sessions more cost effective: changes to pricing, model behavior, and the Claude Code harness. Let’s look at each.
有三项变化使得长时间运行、上下文密集的会话更具成本效益:定价、模型行为以及 Claude Code harness 的变化。让我们逐一查看。
Cache is cheap
缓存很便宜
For usage billed by the token, we reduced the cost of input and output tokens 20%, and we dropped the price of reading a cached token 60%. The latter reduction is significant because cache reads make up the majority of agentic and coding work costs.
对于按 token 计费的用量,我们将输入和输出 token 的成本降低了 20%,并将读取缓存 token 的价格降低了 60%。后者的降低幅度显著,因为缓存读取占据了代理任务和编码工作成本的大部分。
And as we just discussed, context per request has increased roughly 2.6x in six months, which means savings are trending in the right direction. The same price change for those billed by token saves more on today's Claude Code traffic than it would have six months ago, because more of the bill is now re-read context.
正如我们刚才讨论的,每次请求的上下文量在六个月内增加了约 2.6 倍,这意味着节省趋势朝着正确的方向发展。对于按 token 计费的用户,同样的价格调整在当前 Claude Code 流量上节省的金额比六个月前更多,因为账单中有更大比例的部分是重新读取的上下文。
As of the publication date, a cached token on Opus 5.5 costs a fifth of what it does compared to competing models while outperforming them.
截至发布日期,Opus 5.5 上的缓存 token 成本仅为竞争对手模型的五分之一,同时性能优于它们。
Claude Code is better at using the cache
Claude Code 更善于使用缓存
This is less specific to Opus 5.5, and more the result of many of the Claude Code features we’ve added in the last six months. Given the coding session trends we just discussed, you would expect a higher rate of cache misses, but the opposite is true. Input that misses the cache decreased by more than 50%.
这不仅仅与 Opus 5.5 具体相关,而是过去六个月中添加的许多 Claude Code 功能的结果。鉴于我们刚才讨论的编码会话趋势,人们可能会预期更高的缓存未命中率,但事实恰恰相反。未命中缓存的输入减少了超过 50%。
For example, we made it harder to unintentionally break your cache with smaller papercuts like refreshing a login. We also made it harder to break with larger actions, like adding instructions mid-conversation or loading tools on demand. For newer models like Opus 5.5 and Fable 5.1, you can now change effort levels during your sessions without resetting your cache.
例如,我们通过一些小的“纸割伤”(如刷新登录)使其更难意外破坏你的缓存。我们还通过较大的操作(如在对话中途添加指令或按需加载工具)使其更难被破坏。对于较新的模型如 Opus 5.5 和 Fable 5.1,你现在可以在会话过程中更改努力级别而无需重置缓存。
We also made the cache more useful for longer-running and delegated sessions. Developers on API keys and cloud providers can now set a one-hour cache lifetime (which subscribers already had) and forked subagents start from the parent's cache instead of paying for the same context again.
我们还使缓存对长时间运行和委托的会话更有用。使用 API 密钥和云提供商的开发者现在可以设置一小时的有效缓存生命周期(订阅者已经拥有此功能),并且分叉的子智能体将从父级的缓存开始,而不是为相同的上下文再次付费。
The same task, but with fewer turns
相同的任务,但轮次更少
Opus 5.5 can need fewer turns than other models to accomplish the same task. Zeta Labs saw fewer turns and tool calls per task than Opus 5, but at nearly half the cost and twice as many of their hardest tasks completed.
Opus 5.5 完成相同任务所需的轮次可能比其他模型更少。Zeta Labs 观察到,与 Opus 5 相比,Opus 5.5 每任务的轮次和工具调用次数更少,但成本几乎减半,且完成了两倍数量的最复杂任务。
This won't hold for every task. In The cost of a task on Opus 5.5, Addy wrote, "On a well-scoped task, both models finish in about the same number of turns, and the price cut is all you get. The gap should be biggest on open-ended tasks, where a model can spend many turns on the wrong idea. No single number holds for every codebase, so measure it."
这并不适用于所有任务。在《Opus 5.5 上任务的成本》一文中,Addy 写道:“对于范围明确的任务,两个模型完成的轮次大致相同,你得到的只是价格削减。差距应该在开放式任务中最大,因为模型可能会在错误的想法上花费许多轮次。没有哪个单一数字适用于每个代码库,所以请自行测量。”
In other words, simple, short, and mechanical tasks will take the same amount of turns while longer, harder tasks have more potential for Opus 5.5 to avoid burning tokens on the wrong approach. A reduced turn is even more cost efficient than a cached token.
换句话说,简单、简短且机械性的任务所需的轮次相同,而更长、更困难的任务则有更多机会让 Opus 5.5 避免在错误的方法上浪费 token。减少一轮比缓存一个 token 更具成本效益。
Also worth noting, especially as Claude works longer unattended or uninterrupted, is that Opus 5.5 generates output more than 30% faster than Opus 5. While this doesn’t increase cache hit rate or use less tokens, it means waiting less on long runs.
同样值得注意的,尤其是随着 Claude 进行更长时间无人值守或连续运行的是,Opus 5.5 的输出生成速度比 Opus 5 快 30% 以上。虽然这并不会提高缓存命中率或使用更少的 token,但它意味着在长运行过程中等待时间更短。
Protect your cached reads
保护你的缓存读取
As agentic coding has matured, organizations have shifted from asking developers to scale at all costs to asking developers to scale efficiently. Run /usage in Claude Code to see how much of your usage is cached reads. Then protect that number:
随着智能体编码(agentic coding)的成熟,组织已从不惜一切代价要求开发者扩展,转向要求开发者高效扩展。在 Claude Code 中运行 /usage 以查看你的用量中有多少是缓存读取。然后保护这一数值:
- Pick your model at the start of a session rather than switching midway,
- Compact before you step away rather than after, and
- If you're on an API key or cloud provider, set the one-hour cache lifetime for long sessions.
- 在会话开始时选择你的模型,而不是中途切换,
- 在你离开之前进行压缩,而不是之后,并且
- 如果你使用的是 API 密钥或云提供商,为长会话设置一小时缓存生命周期。
Point Opus 5.5 at the open-ended, context-heavy work where those habits compound, and see What a task costs on Opus 5.5 for the worked numbers.
将 Opus 5.5 用于那些习惯会产生复利效应的开放式、上下文密集型的任务,并查看《Opus 5.5 上任务的成本》中的实际数据。
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