On June 9, 2026, Anthropic released the Mythos-class model Claude Fable 5. This market will resolve to "Yes" if Anthropic releases the next Mythos-class model and makes it available to the general public by the listed date (ET). Otherwise, this market will resolve to "No." Any model whose official name includes “Mythos,” or that Anthropic officially describes as a “Mythos-class” model or similar, will qualify for this market’s resolution. For this market to resolve to "Yes," the qualifying model (as defined above) must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by Anthropic as being accessible to the general public. If a qualifying model is made publicly accessible and labeled with the relevant version name within the company’s official website, this will qualify as “publicly announced”. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public under the rules will not qualify. The primary resolution source for this market will be official information from Anthropic; however, a consensus of credible reporting will also be used.
Anthropic’s June 9, 2026 launch of Claude Fable 5 (generally available with safety classifiers) and Claude Mythos 5 (restricted upgrade) established the current Mythos-class baseline above the Opus tier, driving trader focus on the next iteration’s timing amid a typical 1–2 month release cadence. Market-implied odds heavily favor a September 30 resolution because frontier large language model development at Anthropic follows predictable safety-gated cycles, with new safeguards required before broader Mythos-level capabilities can be deployed. Competitive pressure from OpenAI, Google DeepMind, and xAI continues to accelerate internal timelines, while Project Glasswing’s limited-access program provides ongoing data on misuse risks that could either speed or delay public releases. Key upcoming catalysts include any developer conference announcements or regulatory updates on AI safety thresholds that might shift the next model’s availability window.