This market resolves to YES if, between the market's creation and December 31, 2026, at 11:59 PM PT, Anthropic officially releases a new, distinct model line that does not belong to any of the following four existing categories:
Claude Haiku
Claude Sonnet
Claude Opus
Claude Fable
An "officially released model line" is defined as a model announced via Anthropic's official communication channels (such as the Anthropic News Page or official developer documentation) featuring entirely new branding or tier classifications distinct from the four categories listed above.
Clarifications and Edge Cases:
Incremental Updates: Upgrades or iteration versions to existing lines (e.g., "Claude Fable 5.1", "Claude Opus 6", "Claude Sonnet 5.1") will not trigger a YES resolution.
Specialized Modalities: If Anthropic releases a standalone model dedicated solely to text-to-speech, speech-to-text, or image generation under a brand name not belonging to the four categories above, it will trigger a YES resolution. To count as a official model, it MUST be in the Anthropic API or be accessible to the public.
Other Classifications: Any model released under a different brand or tier name (such as "Mythos" or any other novel classification) that is not explicitly named Haiku, Sonnet, Opus, or Fable will trigger a YES resolution.
If no such qualifying new model line is officially released by December 31, 2026, 11:59 PM PT, this market will resolve to NO.
Background
As of mid-2026, Anthropic's portfolio is organized around four primary model tiers targeting different balances of speed, cost, and reasoning capability: Haiku, Sonnet, Opus, and the recently launched Fable (a "Mythos-class" model line introduced in June 2026). This market tracks whether Anthropic will expand beyond these four established product lines with an entirely new tier before the end of the year.
This description was generated by AI. Review and verify everything here yourself. You can edit, replace, or delete any part of this description, including the resolution criteria. You do not need to trust the AI output.