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Anthropic发布Fable 5.1加入AI价格战
Anthropic降低了Fable 5.1的缓存读取价格,并称该模型与Mythos 5.1类似,但安全措施不同。
AI推荐理由 报道Anthropic发布Fable 5.1并降低缓存读取价格,但模型名和细节可能为虚构,需核实。信息密度中等,来源为AI Business,可信度一般。
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Anthropic发布Fable 5.1加入AI价格战
该供应商降低了Fable 5.1的缓存读取定价,并表示该模型与Mythos 5.1相似,但具有不同的安全措施。
Esther Shittu,新闻撰稿人,AI Business
2026年9月2日
3分钟阅读
pedrosala via Getty Images
Anthropic推出了Fable 5.1和Mythos 5.1,强调其如何解决企业客户的定价问题。然而,尽管Fable 5.1和Mythos 5.1功能强大,但企业并不总是需要最强大的模型来处理其工作负载。
这家AI实验室于9月1日透露,Fable 5.1和Mythos 5.1是相同的模型,只是Mythos 5.1仅作为其Project Glasswing网络安全计划的一部分供授权用户使用,并包含不同级别的安全措施。
该供应商表示,除了在高级编码和知识工作方面能力增强,以及科学领域研究技能改进外,Fable 5.1的典型工作负载成本比Fable 5低25%,因为它降低了缓存读取定价。缓存读取是指模型读取已经处理或存储的输入。这意味着Fable 5.1的定价从每百万个令牌1美元降至每百万个令牌0.25美元。除了这一差异外,标准输入定价仍为每百万个输入令牌10美元,每百万个输出令牌50美元。标准定价仍显著高于OpenAI的GPT-5.6 Sol,后者为每百万个输入令牌5美元,每百万个输出令牌30美元。
相关:OpenAI吹捧GPT-6 Astra是其最安全的模型,但它仍然危险
Fable 5.1的降价揭示了该供应商在应对AI市场日益激烈的价格战中的策略。除了Anthropic,OpenAI、Google和Microsoft也在竞争性地降低价格,因为AI成本越来越难以控制,而企业正试图确定前沿模型的ROI和用例。
“我们正处于令牌消耗是一个大问题的时刻,”Omdia(Informa TechTarget的一个部门)的分析师Lian Jye Su说。
定价和Anthropic的IPO
Su补充说,虽然供应商已开始降价,但企业已开始寻找自己的方式来解决定价问题。
“与仅仅依赖单一供应商相比,现在人们使用更多的模型路由,”Su说。“你运行的流程类型最终将决定你选择什么类型的模型。如果你真的需要前沿能力,你仍然会选择最复杂的模型。”
然而,Anthropic降低Fable 5.1缓存读取价格,同时声称该模型与Mythos 5(其最强大且限制最多的模型)相同,并且具有一套单独的安全措施,此举可能旨在推进其IPO雄心。Anthropic于6月1日提交了IPO申请,预计将于今年秋季上市。
相关:提示:Nvidia向上移动AI堆栈
“它需要有稳定的经常性收入,以确保其估值继续保持在顶部,”Su说。
并非适用于所有企业
较低的定价以及Fable 5.1改进的性能使该模型对企业具有吸引力。然而,企业仍应评估该模型是否真正需要用于其特定工作负载。
“这绝对是针对那些寻求最前沿能力并真正关心使自己与众不同的公司的公告,”Su说。他补充说,该模型不适用于后台操作或日常任务,也不适用于需要本地部署选项的企业。
“如今的新模型非常专注于代理AI漏洞测试或高级挑战,”Su说。“我们现在用AI做的大部分事情不一定是最复杂的任务。”
虽然企业可能不需要使用Fable 5.1,但该模型显示了Anthropic如何继续加强其安全措施。该供应商透露,在其Enterprise Frontier Safeguards可用之前,客户可以使用Fable 5.1且零数据保留。
Anthropic于9月1日推出了Enterprise Frontier Safeguards,作为一种新的安全标准,结合了不保留企业数据的隐私和检测滥用的安全性。
相关:企业AI初创公司Wonderful现在估值50亿美元
此外,该供应商的最新安全措施在减少误报方面更好。误报发生在AI模型标记实际上不存在的模式或对象,或标记不重要内容时。
“Anthropic一直强烈反对不受治理的AI,”Su说。“正是这种持续的努力确保它保持在市场所有关键问题的前沿。”
关于作者
Esther Shittu
新闻撰稿人,AI Business
Esther Shittu自2021年以来一直报道AI技术和行业趋势。作为Targeting AI播客的联合主持人,她与专家、思想领袖和从业者讨论关键的AI发展。在加入AI Business之前,她曾为SearchEnterpriseAI、纽约每日新闻、Bklyner和布鲁克林每日鹰报撰稿。当她不深入AI世界时,她会花时间在激情项目上并抚养她的三个女儿。
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查看原文(中文正文为 AI 翻译)
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Anthropic Joins AI Price War With Release of Fable 5.1
The vendor reduced cache read pricing for Fable 5.1 and said the model is similar to Mythos 5.1, with different safeguards.
Esther Shittu,News Writer, AI Business
September 2, 2026
3 Min Read
pedrosala via Getty Images
Anthropic introduced Fable 5.1 and Mythos 5.1, highlighting how it is addressing pricing concerns for enterprise customers. However, despite the powerful capabilities of Fable 5.1 and Mythos 5.1, enterprises don’t always need the most powerful model for their workloads.
The AI lab on Sept. 1 revealed that Fable 5.1 and Mythos 5.1 are the same models, except that Mythos 5.1 is accessible only to authorized users as part of its Project Glasswing cybersecurity initiative and includes distinct levels of safeguards.
The vendor said that, along with increased capabilities in advanced coding and knowledge work, and improved research skills in science fields, Fable 5.1 costs 25% less than Fable 5 for typical workloads because it reduces cache read pricing. Cache read is when the model reads the inputs that have already been processed or stored. This means Fable 5.1 pricing is reduced from $1 per million tokens to $0.25 per million tokens. Other than this difference, the standard input pricing remains $10 per million input tokens and $50 per million output tokens. The standard pricing is still significantly higher than OpenAI’s GPT-5.6 Sol, which is $5 per million input tokens and $30 per million output tokens.
Related:OpenAI Touts GPT-6 Astra as Its Safest Model, But It's Still Dangerous
Fable 5.1’s price cut reveals the vendor’s strategy in dealing with the escalating price war in the AI market. In addition to Anthropic, OpenAI, Google and Microsoft are competitively reducing their prices as the cost of AI becomes harder to contain, while enterprises are trying to determine the ROI and use cases for frontier models.
“We are at a juncture where token consumption is a big concern,” said Lian Jye Su, an analyst at Omdia, a division of Informa TechTarget.
Pricing and Anthropic’s IPO
Su added that while vendors have begun to reduce prices, enterprises have started finding their own ways to address the pricing issue.
“People are using a lot more model routing nowadays compared to just relying on a single vendor,” Su said. “The type of processes that you run will dictate what type of models you select at the end of the day. If you are someone who really needs that frontier capability, you will still go with the most complex models.”
However, Anthropic’s move to reduce prices for cached reads of Fable 5.1, while also claiming that the model is the same as Mythos 5 (its most powerful and restrictive model) and that it has a separate set of safeguards, might be intended to further its IPO ambitions. Anthropic filed for an IPO on June 1 and is expected to go public this fall.
Related:Prompt: Nvidia Moves up the AI Stack
“It needs to have this solid recurring revenue to ensure that its valuation continues to stay on top,” Su said.
Not for All Enterprises
Lower pricing, along with Fable 5.1’s improved performance, makes the model attractive to enterprises. However, enterprises should still assess whether the model is truly needed for their specific workloads.
“This is definitely an announcement for companies that are looking at the most frontier capability that really care about differentiating themselves from the rest,” Su said. He added that the model is not for back-office operations or day-to-day tasks, nor for enterprises that need an on-premises option.
“New models nowadays focus very strongly on agentic AI vulnerability testing or advanced challenges,” Su said. “Most of the stuff that we do with AI nowadays is not necessarily the most complicated tasks.”
While enterprises may not need to use Fable 5.1, the model shows how Anthropic continues to strengthen its safety measures. The vendor revealed that until its Enterprise Frontier Safeguards are available, customers can use Fable 5.1 with zero data retention.
Anthropic introduced Enterprise Frontier Safeguards on Sept. 1 as a new security standard that combines the privacy of not retaining enterprise data with the security of detecting misuse.
Related:Enterprise AI Startup Wonderful Now Valued at $5B
Moreover, the vendor’s newest safeguards are better at reducing false positives. False positives occur when an AI model flags a pattern or object that is not actually present or flags unimportant content.
“Anthropic has always been strongly against AI that is left ungoverned,” Su said. “It’s that continual effort to ensure it stays on top of all the critical concerns in the market.”
About the Author
Esther Shittu
News Writer, AI Business
Esther Shittu has covered AI technologies and industry trends since 2021. As co-host of the Targeting AI podcast, she talks with experts, thought leaders and practitioners exploring critical AI developments. Before AI Business, she wrote for SearchEnterpriseAI, the New York Daily News, Bklyner and the Brooklyn Daily Eagle. When she's not diving deep into the world of AI, she spends her time on passion projects and raising her three daughters.
See more from Esther Shittu
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