Anthropic 发布 Mythos 5.2 与 Fable 5.2 模型,Fable 输入价格降至每百万 token 8 美元
Anthropic releases new Mythos and Fable models amid RSI concerns

Anthropic发布Mythos 5.2和Fable 5.2,称新模型在编码、推理和视觉方面有所提升,与用户沟通更清晰。Fable的输入价格从每百万token 10美元降至8美元,低于主要竞争对手GPT-6 Astra,响应速度提升30%,并可通过Enterprise Frontier Safeguards支持零数据保留(ZDR)政策。
同一新闻,精选展示《Anthropic 发布 Claude Fable 5.2》
同一件事另外 10 家也报道了
各家口径不同:TechCrunch指出Fable的输入价格降至每百万token 8美元;其他报道没有提及价格。
- Claude.dev Blog··首发
- Claude · YouTube··+6 小时 57 分
- The Verge · AI··+7 小时 0 分
- Claude · YouTube··+7 小时 4 分
- TechCrunch · AI··+7 小时 25 分·当前阅读
Anthropic 发布 Mythos 5.2 与 Fable 5.2 模型,Fable 输入价格降至每百万 token 8 美元
新增信息:Fable的输入价格降至每百万token 8美元。
- AWS Machine Learning Blog··+8 小时 5 分
- Hacker News · 300+ 热帖··+8 小时 5 分
- The Decoder··+9 小时 15 分
- 量子位··+10 小时 8 分
- IT之家 · AI··+11 小时 14 分
Anthropic 推出 Claude Fable 5.2 和 Claude Mythos 5.2 AI 模型,API 调用费下降 20%。
- 36氪 · AI··+11 小时 23 分
- 36氪 · AI··+12 小时 1 分
- IT之家 · AI··+17 小时 52 分
- The Decoder··+26 小时 8 分
- MarkTechPost··+26 小时 59 分
- IT之家 · AI··+36 小时 25 分
- Claude · YouTube··+2 天
按发布时间排列 · 事件后续出现时自动追加 · 由模型根据各家标题与摘要比对
Anthropic released new versions of its most advanced models on Monday, with the launch of Mythos 5.2 and Fable 5.2. The company says the new models “show improvements in areas like coding, reasoning, and vision,” and communicate more clearly with users.
Notably, Anthropic is lowering the cost of Fable from $10 to $8 per million input tokens. As a result, Fable 5.2 is now cheaper than its primary competitor GPT-6 Astra. Anthropic says that the new version of Fable will return responses 30% faster across effort levels. Faster inference serving is available for double the price.
Fable 5.2 is also compatible with zero data retention (ZDR) policies through the Enterprise Frontier Safeguards system, long a sticking point for many enterprise clients.
It’s Anthropic’s first model release since the arrival of a third-party report from the assessment group METR, which suggested the lab might be approaching recursive self-improvement (RSI) — or the ability for AI models to carry on model training independently. The METR report found internal models were speeding up Anthropic’s AI progress by roughly 2x, although many uncertainties remain.
Still, Anthropic’s release notes significant ongoing challenges in accurately testing model capabilities. “Claude Mythos 5.2 and Fable 5.2 each voice suspicion that they are being evaluated more often than any of our recent models, which challenges our ability to assess how they will act in real-world settings. As these settings expand and capabilities increase with future models, we expect this challenge to grow.”
Anthropic maintains that the new version of Mythos does not have the ability to act covertly against its user, a verdict that’s detailed further in Mythos 5.2’s system card.
“Claude Mythos 5.2 shows stronger covert capabilities than prior Claude models on several of our evaluations, particularly when its reasoning is hidden from the monitor,” the system card reads. “That said, we believe that low levels of absolute performance on our new covert evaluations support claims that rely on detection of harmful actions in high-stakes situations.”
Fable 5.2 has been available to select parties in pre-release for some time, and Anthropic says the model has already “solved two open problems in theoretical physics, formalized Fermat’s Last Theorem, and supported numerous other research projects.”
Also on Monday, AI startup Physical Superintelligence announced a new proof of the Aaronson‑Ambainis conjecture, a pivotal step in setting theoretical limits for quantum computing. Notably, the lab said the result was achieved by running “a non-public Anthropic model” within PSI’s own system. Anthropic did not confirm or deny whether Fable 5.2 was the model in question.
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Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT’s Technology Review. He can be reached at [email protected] or on Signal at 412-401-5489.
来源: TechCrunch · AI · techcrunch.com