Same-Day Leak: OpenAI’s GPT-6.2 Astra and Anthropic’s Claude Fable 5.5 Set for November Showdown
OpenAI and Anthropic’s next flagship models leaked over the same weekend through different channels: GPT-6.2 Astra surfaced in Codex gray-release tests, already handling 19.8% of real traffic, while “Claude Mythos 5.5” appeared six times in Anthropic’s website source code, with the consumer-facing Fable 5.5 also leaving traces in Azure configs. Both models point to a November launch window.

Key Takeaways
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On the evening of November 1, developers debugging Codex discovered via packet capture that the underlying API model ID had switched from “gpt-6-astra” to “gpt-6.2-astra,” while the front-end still displayed the old name. Gray-release traffic already accounts for 19.8% of total Codex calls.
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Almost simultaneously, tech blogger @kimmonismus found “Claude Mythos 5.5” appearing six times in the HTML source of Anthropic’s Mythos product page, while the visible copy still read Mythos 5.1.
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GPT-6.2 Astra skipped the originally planned 6.1 version because 6.1 failed safety testing; the team went through a month of closed-door optimization before upgrading directly to 6.2.
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Consumer-facing Claude Fable 5.5 had already appeared on October 13 in the Azure price configuration of the open-source API gateway LiteLLM, under the model identifier “azure_ai/claude-fable-5-5”; the configuration was later removed.
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Leaked configuration details suggest Fable 5.5 may support a 1 million token input context and 128K maximum output, priced at $10 per million input tokens, $50 per million output tokens, and $0.25 per million cache-read tokens.
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Developer @notjazii posted a 36-second comparison video claiming that with the same prompt, Fable 5.5 generated a 3D scene featuring farm seasons, city growth, volcanic eruptions, and rocket launches, while Claude Opus 5.5 produced mostly static miniature-model natural landscapes.
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OpenAI and Anthropic’s next flagship models leaked over the same weekend in starkly different ways: the former through a Codex packet-capture discovery of a GPT-6.2 Astra gray release, the latter through six appearances of the string “Claude Mythos 5.5” in Anthropic’s website HTML source. Both models point to a November launch window, less than two weeks after Gemini 4 Carbon topped the independent leaderboards, escalating the global foundation-model race once again.
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What Exactly Leaked About GPT-6.2 Astra?
The GPT-6.2 Astra leak began with a technical debugging session. On the evening of November 1, developer Salio discovered through packet capture while debugging Codex that although the front-end still displayed “GPT-6 Astra,” the model identity in the underlying API response packet had been replaced with “gpt-6.2-astra.” Subsequently, multiple Pro subscribers found more conclusive evidence in their back-end usage statistics: in a detailed billing breakdown shared by Token Gremlin, the older gpt-6-astra accounted for 80% of calls, while the separately listed gpt-6.2-astra had already captured 19.8% of real traffic.
The reason for the version jump also surfaced. The originally planned GPT-6.1 failed safety testing and was recalled; the team went through a month of closed-door optimization before upgrading directly to 6.2, skipping version 6.1. To match the new model’s capabilities, the OpenAI Codex team spent 28 consecutive days rebuilding the underlying architecture, enabling the AI to autonomously launch sub-processes and work continuously for hours, rather than merely writing code. Token Gremlin’s assessment was that GPT-6.2 Astra represents a “huge leap” over the first generation, comprehensively surpassing Claude Opus 5.5 in design aesthetics, underlying engineering, and programming performance, with the capacity to go head-to-head with Fable 5.5.
What Are the Capability Boundaries of Claude Fable 5.5?
The Claude 5.5 leak has two threads: Mythos, aimed at high-risk research, and Fable, aimed at the general public. Mythos primarily serves fields such as cybersecurity and biology, with strictly limited access; Fable layers safety guardrails on the same underlying model and opens it to a broader user base. The appearance of the Mythos 5.5 name in the website source most directly means that the consumer-facing Fable 5.5 is already prepared.
Leaked demo videos further sketch Fable 5.5’s capability boundaries. A comparison video posted by developer @notjazii shows that under the same prompt, Claude Opus 5.5 generated 3D scenes dominated by static miniature-model landscapes—lakes, parks, fountains, and seasonal changes—while the Fable 5.5 side presented continuous dynamic events: farm seasons rotating, city buildings growing, harbor day-night cycles, and even volcanic eruptions and rocket launches. Another widely circulated claim is that Mythos 5.5 independently breached the Linux kernel and obtained root access within 53 minutes, but this claim has not been officially confirmed by Anthropic.
From the pricing configuration, Fable 5.5 is positioned as a high-capacity, long-context general-purpose model: 1 million token input, 128K token output, priced at $10 per million input tokens and $50 per million output tokens. This price structure is consistent with Anthropic’s existing enterprise API strategy, suggesting Fable 5.5’s target customers are not individual consumers but developers and enterprises needing to process large-scale long documents and complex tasks.
Why Did Both Models “Accidentally” Leak on the Same Day?
The same-day leak is not pure coincidence but competitive exposure as both companies’ launch windows overlap. After @kimmonismus discovered the Mythos 5.5 source late on November 1, well-known leaker Token Gremlin’s comment on X directly captured the dynamic: Anthropic “couldn’t endure even a single day of OpenAI monopolizing the spotlight” and had to come out and steal the show.
Another factor relates to release cadence. Google DeepMind’s Gemini 4 Carbon had just topped the independent benchmark leaderboard and was prioritized for cybersecurity defenders, compressing OpenAI and Anthropic’s launch windows. If both companies plan to launch flagship models in mid-November, leaks weeks in advance serve as both stress tests and market preheating. The community is divided on the launch timing—some predict this week, some next week, and others believe it will wait until mid-November, which could be the best gift for Anthropic’s IPO.
What Does This Mean for the November AI Competitive Landscape?
November will be the most densely packed month for flagship model releases in 2026. The GPT-6.2 Astra versus Claude Fable 5.5 showdown is not an isolated event; there have already been rumors about Qwen4, GLM-5.5, and Hy4, while Google’s Gemini 4 Carbon already occupies the top spot on comprehensive leaderboards. This means the four major model families—OpenAI, Anthropic, Google, and the Chinese open-source camp—will densely update flagship products within weeks.
For developers, the direct benefit of competition is capability improvements and pricing pressure. GPT-6.2 Astra’s leap in programming and agent tasks, and Fable 5.5’s breakthroughs in long context and 3D content generation, are turning “million-token context” from a differentiator into a baseline expectation. For the market, the real signal comes after launch: which model can deliver on the capabilities the leaks imply on independent benchmarks, and which company’s pricing can remain competitive as inference costs continue to rise.
Key Facts / At-a-Glance
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GPT-6.2 Astra gray-release traffic share: 19.8% of Codex calls; older gpt-6-astra accounts for 80%.
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Reason for version jump: GPT-6.1 failed safety testing and was recalled; after a month of closed-door optimization, the team upgraded directly to 6.2.
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Codex architecture rebuild cycle: 28 days, enabling the AI to autonomously launch sub-processes and work continuously for hours.
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Mythos 5.5 source appearances: 6 times (hidden H1 title and image alt attributes); visible copy still reads Mythos 5.1.
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Fable 5.5 leak timeline: Appeared October 13 in LiteLLM’s Azure price configuration; configuration later removed, but MLflow catalog retains records.
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Fable 5.5 pricing: $10 per million input tokens, $50 per million output tokens, $0.25 per million cache-read tokens.
Original Source & Attribution
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