Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released.隆重推出 Claude Haiku 5.5：这是我们迄今为止发布的最便宜、最快且能力最强的小型模型。
Claude Haiku 5.5 is designed for high-volume, cost-sensitive tasks. It reliably handles quick and repetitive workloads (like summaries, compactions, database queries, and classification requests). It pairs well with Opus 5.5 and Sonnet 5.5 as a subagent on coding work. And, since it’s also our fastest model to date, it works especially well for speed-sensitive tasks like live customer support and browser use.¹Claude Haiku 5.5 专为高频、成本敏感型任务而设计。它能够可靠地处理快速且重复的工作负载（如摘要、压缩、数据库查询和分类请求）。在编码工作中，它非常适合与 Opus 5.5 和 Sonnet 5.5 搭配作为子代理使用。此外，由于它是我们目前速度最快的模型，因此它在实时客户支持和浏览器操作等对速度要求极高的任务中表现尤为出色。¹
Haiku 5.5 is available at a much lower price than Haiku 4.5. On average, it now costs around 75% less to run.²Haiku 5.5 的价格远低于 Haiku 4.5。平均而言，现在的运行成本降低了约 75%。²
Along with this launch, we’re making improvements to the value of our model range. We’re halving the price of Claude Sonnet 5.5’s cache reads, which means Sonnet 5.5 now runs around 20% cheaper on most agentic work. And we’re introducing a new monthly API credit for our Claude Max and Team subscribers, designed to support our users in building new agents and applications that run on the Claude Platform.随着此次发布，我们正在提升整个模型系列的产品价值。我们将 Claude Sonnet 5.5 的缓存读取价格减半，这意味着 Sonnet 5.5 在大多数代理任务中的运行成本降低了约 20%。此外，我们还为 Claude Max 和 Team 订阅用户推出了新的每月 API 额度，旨在支持用户在 Claude 平台上构建新的代理和应用程序。
Performance性能
Here’s how Claude Haiku 5.5 performs across a range of benchmarks:以下是 Claude Haiku 5.5 在一系列基准测试中的表现：
| Haiku 5.5 | Haiku 4.5 | GPT-6 Luna | Sonnet 5.5For reference | |
|---|---|---|---|---|
| Knowledge workGDPval-AA v2.1 | 1620 | 735 | 1437 | 1840 |
| Knowledge workAA-Briefcase v1.1 | 1578 | 614 | 1336 | 1824 |
| Computer useOSWorld 2.1 | 72.4%Offline subset | 15.7%Offline subset | 48.9%Offline subset | 83.9%Offline subset |
| Multidisciplinary reasoningHumanity’s Last Exam | 45.9%no tools | 10.2%no tools | — | 56.9%no tools |
| 57.4%with tools | 18.7%with tools | — | 64.5%with tools | |
| Agentic codingTerminal-Bench 4.0 | 39.2% | 0.0% | 16.4% | 70.6% |
| Agentic codingFrontierCode 1.1 (Main) | 46.4% | — | 42.4% | 52.1%Xhigh |
| Visual reasoningChartography | 46.4%no tools | 6.4%no tools | 29.1%no tools | 61.6%no tools |
For details on how we run our evaluations, see the Haiku 5.5 System Card.有关我们如何进行评估的详细信息，请参阅《Haiku 5.5 系统卡》。
Haiku 5.5 is our first Haiku-class model to come with an adjustable effort setting. This means that, as with our other models, users can decide whether to optimize for cost or intelligence. The charts below show how Haiku 5.5 performs on three benchmarks at each effort setting:Haiku 5.5 是我们首个具备可调“努力程度”（effort setting）设置的 Haiku 级模型。这意味着，与我们的其他模型一样，用户可以决定是针对成本还是针对智能水平进行优化。下表展示了 Haiku 5.5 在不同努力程度设置下，在三项基准测试中的表现：
- Haiku 5.5
- Haiku 4.5
- Sonnet 5.5
- GPT-6 Luna
OSWorld 2.1 measures how well agents can operate a real computer to finish long, multi-step tasks.
Artificial Analysis’s GDPval-AA v2.1 evaluates agents on real-world professional work across 44 occupations.
Humanity’s Last Exam (HLE) is a test of expert-level academic knowledge and reasoning.
In early testing, our customers reported results consistent with the performance and cost improvements shown above. Here’s what they told us about the new model:在早期测试中，我们的客户所反馈的结果与上述性能和成本改进相一致。以下是他们对该新模型的评价：
Pricing定价
The table below shows how Claude Haiku 5.5’s pricing compares to our other models. Haiku 5.5 is especially good value when used for tasks with prompts up to 100,000 tokens, which make up around 90% of requests to our previous Haiku model.下表展示了 Claude Haiku 5.5 与我们其他模型的定价对比。当用于提示词长度在 10 万 token 以内的任务时，Haiku 5.5 的性价比尤为突出，这类任务约占我们之前 Haiku 模型请求总量的 90%。
| Price per 1 million tokens | Haiku 5.5 prompts up to / over 100k | Haiku 4.5 | Sonnet 5.5 |
|---|---|---|---|
| Cache reads | $0.01 / $0.05 | $0.10 | $0.10 |
| Cache writes | $0.125 / $0.625 | $1.25 | $2.50 |
| Input tokens | $0.10 / $0.50 | $1.00 | $2.00 |
| Output tokens | $0.50 / $2.50 | $5.00 | $10.00 |
Safety安全性
Alignment. Claude Haiku 5.5 shows major improvements across almost all of our alignment evaluations relative to Haiku 4.5. In particular, we found far fewer instances of misaligned behavior, and a lower willingness to cooperate with misuse. The model’s system card describes our evaluation process and results in more detail.对齐。与 Haiku 4.5 相比，Claude Haiku 5.5 在我们几乎所有的对齐评估中都表现出了重大改进。特别是，我们发现未对齐行为的实例显著减少，且模型配合滥用行为的意愿更低。模型的系统卡更详细地描述了我们的评估过程和结果。
Safeguards. Consistent with its capabilities, Haiku 5.5’s cybersecurity safeguards are more restrictive than Haiku 4.5’s, but somewhat less restrictive than those we’ve applied to other recent models. In cybersecurity, they permit a wider range of defensive tasks than our safeguards for Sonnet 5.5, but they still block penetration testing and other techniques more likely to be used by attackers.防护措施。与模型能力相一致，Haiku 5.5 的网络安全防护措施比 Haiku 4.5 更严格，但比我们近期应用在其他模型上的防护措施略微宽松一些。在网络安全方面，它们允许比 Sonnet 5.5 防护措施更广泛的防御性任务，但仍然会拦截渗透测试以及其他攻击者更可能使用的技术。
Haiku 5.5’s biology safeguards are the same as for Sonnet 5, Sonnet 5.5, and Opus 5. They allow research biology questions but restrict access to requests that we judge as likely to cause harm. Organizations working on wider-ranging biology and cyber activities can apply to our Life Sciences Verification Program and Cyber Verification Program.Haiku 5.5 的生物学防护措施与 Sonnet 5、Sonnet 5.5 和 Opus 5 相同。它们允许研究性的生物学问题，但会限制对我们判断可能造成伤害的请求的访问。从事更广泛生物学和网络活动相关工作的组织可以向我们的“生命科学验证计划”和“网络验证计划”提出申请。
Availability可用性
Claude Haiku 5.5 is available now on all platforms, including Amazon Web Services, Google Cloud, and Microsoft Azure. On the Claude Platform, developers can get started with claude-haiku-5-5. Claude Haiku 5.5 现已在所有平台上线，包括 Amazon Web Services、Google Cloud 和 Microsoft Azure。在 Claude 平台上，开发者可以使用 claude-haiku-5-5 开始使用。
See our migration guide for details.详情请参阅我们的迁移指南。
Further updates更多更新
Alongside our new pricing for Claude Haiku 5.5, we’re making further improvements to the value of our models and products.除了 Claude Haiku 5.5 的新定价外，我们还在进一步提升模型和产品的价值。
First, starting today, we’re lowering the price of cache reads on Claude Sonnet 5.5. Cache reads now cost 50% less: $0.10 per million tokens rather than $0.20. Because cache reads make up a large share of models’ token consumption, this reduces the cost of Sonnet 5.5 on most agentic tasks by around 20%.首先，从今天开始，我们降低了 Claude Sonnet 5.5 的缓存读取价格。缓存读取成本降低了 50%：从每百万 token 0.20 美元降至 0.10 美元。由于缓存读取占模型 token 消耗的很大一部分，这使得 Sonnet 5.5 在大多数代理任务中的成本降低了约 20%。
For instance, here’s what the price cut means for Sonnet 5.5’s performance relative to cost on Terminal-Bench 4.0:例如，以下是此次降价对 Sonnet 5.5 在 Terminal-Bench 4.0 上的性能与成本比的影响：
- Sonnet 5.5（缓存读取 0.10 美元）
- Sonnet 5.5（缓存读取 0.20 美元）
Terminal-Bench 4.0 measures how well a model can complete complex, multi-step professional tasks within a command-line interface.
This chart illustrates an important difference between Haiku 5.5 and our larger models. Sonnet 5.5 and Opus 5.5 remain better choices for complex agentic coding tasks like those measured by Terminal-Bench 4.0. By contrast, Haiku 5.5 is best suited to more narrowly scoped tasks that might otherwise have been cost-prohibitive with previous versions of Claude—like compaction, summarization, or subagent work.该图表说明了 Haiku 5.5 与我们大型模型之间的一个重要区别。对于像 Terminal-Bench 4.0 所衡量的复杂代理编码任务，Sonnet 5.5 和 Opus 5.5 仍然是更好的选择。相比之下，Haiku 5.5 最适合那些范围较窄的任务，这些任务如果使用旧版本的 Claude 可能会成本过高——例如压缩、摘要或子代理工作。
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. These credits are designed to allow our users to experiment with building tools, apps, and agents that call our API. They can be used on any of our models. For more information, see our Help Center article.其次，本周，我们将向所有 Max 和 Team 订阅用户推出新的每月 API 额度，可用于 Claude 平台。Max 5x 用户每月将获得 100 美元额度，Max 20x 用户将获得 200 美元，Team 订阅用户最高可获得 500 美元，并在其用户间共享。这些额度旨在让我们的用户能够尝试构建调用我们 API 的工具、应用程序和代理。它们可用于我们的任何模型。更多信息，请参阅我们的帮助中心文章。
For developers, we’re also updating our Claude Python and TypeScript SDKs to add support for computer use and browser use in beta. Haiku 5.5 is especially well-suited to these tasks, given its combination of speed, capability, and price. You can read more about this in our Claude Platform docs.对于开发者，我们还更新了 Claude Python 和 TypeScript SDK，增加了对测试版计算机使用和浏览器使用的支持。鉴于其速度、能力和价格的结合，Haiku 5.5 特别适合这些任务。您可以在我们的 Claude 平台文档中阅读更多相关信息。
Footnotes脚注
1 Claude Haiku 5.5 is our fastest model to date at each model’s standard speed, although it runs less quickly than our Opus models in Fast Mode.1 Claude Haiku 5.5 是我们目前在各模型标准速度下速度最快的模型，尽管它在“快速模式”（Fast Mode）下的运行速度不如我们的 Opus 模型。
2 Claude Haiku 5.5 is priced 90% lower than Claude Haiku 4.5 for requests up to 100,000 tokens, and 50% lower for requests over 100,000 tokens. On Haiku 4.5, 90% of requests fell into the former category. This calculation also accounts for changes between Haiku 4.5 and Haiku 5.5 in how many tokens are used to complete a given piece of work: Haiku 5.5 has an updated tokenizer (similar to Sonnet 5.5’s and Opus 5.5’s), which means it uses slightly more tokens per task.2 对于 10 万 token 以内的请求，Claude Haiku 5.5 的定价较 Claude Haiku 4.5 降低了 90%，对于超过 10 万 token 的请求则降低了 50%。在 Haiku 4.5 上，90% 的请求属于前者。此计算还考虑了 Haiku 4.5 和 Haiku 5.5 之间在完成给定工作量所需 token 数量上的变化：Haiku 5.5 采用了更新的分词器（与 Sonnet 5.5 和 Opus 5.5 类似），这意味着它在每个任务中使用的 token 略多。