Anthropic 发布 Fable 5.2 和 Mythos 5.2，llm-anthropic 0.31 已支持
llm-anthropic 0.31
Fable 5.2 和 Mythos 5.2 今天上线，llm 插件同步支持。想尝鲜的话装个插件就能跑，但注意 max 推理档有烧 token 不出图的 bug，测试时建议先用 xhigh 档。
Anthropic 发布了 Fable 5.2 和 Mythos 5.2 两个新模型，Simon Willison 已将它们加入 llm-anthropic 0.31 插件，安装后即可通过 llm -m claude-fable-5.2 直接调用。
作者用经典的“鹈鹕骑自行车画 SVG”提示词测试了五个推理档位：low、medium、high、xhigh、max。其中 xhigh 档产出了最佳结果，而 max 档在花费 128,000 个 token 思考后耗尽额度，完全没能返回图像。
这个 max 档失败问题与此前 Opus 5.5 上的表现相同，但对该系列是新问题：Fable 5 和 Fable 5.1 都能在 max 档正常出图。开发者升级到 5.2 前需要留意这一回归。
llm-anthropic 0.31
Release: llm-anthropic 0.31 Anthropic released Fable 5.2 and Mythos 5.2 today. I've added them to llm-anthropic , so you can now run prompts through Fable 5.2 like this: uv tool install llm llm install llm-anthropic llm keys set anthropic # paste key here llm -m claude-fable-5.2 "Generate an SVG of a pelican riding a bicycle" I ran pelicans at all five reasoning levels - low , medium , high , xhigh , and max . You can see them all here - here's the best result I got, from xhigh : max failed to return an image at all, running out of tokens after spending 128,000 thinking about them . That's the same bug that I saw with Opus 5.5 - but it's new for the Fable series, both Fable 5 and Fable 5.1 returned max effort pelicans just fine. Tags: llm , anthropic , claude , generative-ai , pelican-riding-a-bicycle , ai , llms , claude-mythos-fable
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Anthropic, Claude, llm, Fable.
Source attribution: curated from Simon Willison’s Weblog. Cross-source corroboration: 11 independent sources have covered this development (including kimmonismus, 宝玉, shao__meng), confirming industry-wide signal strength.
