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Overnight, GPT-6.2 Astra and Fable 5.5 Both Leaked: A Crazy November Is Coming for the AI World
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- DeepHorus
Just as November began, the AI world became lively again. Within the past dozen or so hours, news about next-generation models from Anthropic and OpenAI emerged one after another: clues about Claude Fable 5.5 and GPT-6.2 Astra surfaced almost simultaneously, leading the community to speculate that November may bring a new round of concentrated flagship model updates.
Late at night on November 1, tech blogger @kimmonismus said that Claude Mythos 5.5, which had not yet been officially announced, appeared in the HTML source code of Anthropic's official website; both the hidden H1 heading and image alt attributes on the product page contained that name, and tech media outlet TestingCatalog subsequently noticed the change as well. According to the company's product line segmentation, Mythos is mainly aimed at high-risk research fields such as cybersecurity and biology, with restricted access; Fable, on the basis of the same underlying model, adds safety protections and is aimed at a broader user base.
Developer @chetaslua further found that Mythos 5.5 appeared six times in the official website source code, while the body introduction still remained at Mythos 5.1; user @pankajkumar_dev said that Anthropic later deleted the relevant content. An earlier clue appeared on October 13: the identifier claude-fable-5-5 had appeared in the Azure price configuration of the open-source API gateway LiteLLM. Although the configuration was removed, a third-party MLflow catalog still retained a record. The circulated configuration indicates that the model may support a 1 million token input context and a maximum output of 128,000 tokens, with pricing at $10 per million input tokens and $50 per million output tokens.
More attention-grabbing to developers than the source-code characters were demo videos. On November 1, developer @notjazii posted a comparison video of about 36 seconds, saying that the same prompt was used to have Opus 5.5 and Fable 5.5 generate 3D scenes separately; the latter showed dynamic events such as a farm cycling through the four seasons, city buildings growing, a harbor alternating between day and night, and even a volcanic eruption and a rocket launching. He then showed a Minecraft-style game allegedly generated by Fable 5.5; the author said the entire work used only one prompt and took one to two hours.
@abhinavflac demonstrated an interactive historical sailing ship allegedly generated by Fable 5.5 through a zero-shot prompt; the camera can orbit around the hull to observe the deck, gun ports, and sail structure; @chetaslua showed a sports car application based on Three.js that supports multi-angle viewing and paint color switching. However, none of these videos included the complete prompt, invocation logs, or source code, so the model identity and generation time still mainly rely on the authors' own accounts.
On OpenAI's side, X user @TokenGremlin said that in some users' Codex usage statistics, the not-yet-announced gpt-6.2-astra appeared; in one account's model share, GPT-6 Astra accounted for about 80% and GPT-6.2 Astra for about 19.8%, while the interface still displayed GPT-6 Astra; in an API response posted by developer @Mr_Salio, the response.model field was also that name. User @ai_funss said that after upgrading Codex CLI, the model name could be specified for invocation in the terminal, and a screenshot showed gpt-6.2-astra medium and a 1M window label.
The community's assessments of the new models' performance are clearly divided. @TokenGremlin believes that GPT-6.2 Astra has made obvious progress over the previous generation in design, technical capability, and programming performance, and that it may surpass Opus 5.5 on some tasks; @Da7_Tech believes that it has not yet reached Opus 5.5's level. On October 31, OpenAI's official account posted a video captioned 'The future has many possibilities. Which one do you want to create?' which likewise sparked outside speculation.
Looking back over the past month, Google DeepMind had just released Gemini 4 Carbon on October 28, and then Anthropic and OpenAI successively had clues about next-generation models emerge; new versions of domestic Qwen, GLM, and Hy4 are also eagerly anticipated. The flagship models have not yet officially appeared, but netizens have already found traces in official website source code, backend records, and demo videos. Whether these clues are traces left unintentionally or preheating signals deliberately released, only the vendors themselves know; and when the products truly arrive, how to surpass the imagination the internet has shaped for them in advance may be more difficult than defeating competitors.
