TOTAL VOLUME:
$114.6b
24H VOL:
$136,531,341
24H TRANSACTIONS:
1,380,975,298
OPEN INTEREST:
$1,197,913,311
339,027
Markets across
34,284
events
MATCHED EVENTS:
4,693
PLATFORM COVERAGE:
5
Polymarket:
42%
VS.
Kalshi:
58%
Before 2027
- Kalshi
Before 2027 - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 1, 2026
Will OpenAI release GPT-6 before Jan 1, 2027?
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Intro
This market tracks whether OpenAI will release a new frontier model—specifically GPT-6 or a higher-numbered version—by September 30, 2026. Aggregating data from Kalshi and Polymarket, the consensus probability stands at 96.4% that such a release occurs on or before that date. Resolution is determined by OpenAI's official announcement of a model designated GPT-6 or greater. Watch for OpenAI's product announcements and developer updates throughout 2026, as any official model release will directly trigger resolution by the November 1, 2026 settlement date.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue: Kalshi provides comprehensive, explicit resolution rules for seven sequential deadline-based markets, while Polymarket offers no documented rules, creating source fragility and potential inconsistency in settlement interpretation.Hero tip: Prioritize Kalshi markets for transparency and explicit criteria. For Polymarket, request official rule documentation before trading to confirm deadline structure and model naming thresholds match Kalshi's GPT-6 standard.Critical divergence points:
- Kalshi: Seven explicit markets, each resolving YES if OpenAI releases GPT-6 or greater before the specified deadline (May 1, Jun 1, Jul 1, Aug 1, Sep 1, Oct 1, or Nov 1, 2026). Clear naming convention and timing windows provided for all markets.
- Polymarket: No detailed rules available. Resolution logic, model naming criteria, deadline structure, and qualifying release definitions are entirely undocumented, creating uncertainty and potential settlement disputes.
Polymarket
This market will resolve to “Yes” if OpenAI makes a new frontier model available to the general public by the specified date (ET). Otherwise, this market will resolve to “No”. For this market to resolve to “Yes”, OpenAI’s new frontier model 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 OpenAI as being accessible to the general public. A frontier model refers to a newly released OpenAI model that OpenAI describes as one of its most capable or next-generation, general-purpose flagship models. Qualifying new frontier models include successors to existing frontier models, such as GPT 5.2, which could succeed GPT 5.1 in the same way that GPT 5.1 succeeded GPT 5. Models focused on a specific task such as image generation or which are versions of a previous model optimized for a specific task (i.e. GPT 5.1-codex) or for cost-efficiency (i.e. GPT-5 mini) will not count. Qualifying frontier models which are separate from the OpenAI GPT series will count. A qualifying new model from OpenAI’s o-series (i.e. o1, o3) will count. The primary resolution source for this market will be official information from OpenAI, with additional verification from a consensus of credible reporting.
Kalshi
OpenAI's release of GPT-6 or a greater-numbered model is tracked across multiple timeframes from May through November 2026. The release must be made publicly available outside of closed beta testing, though restricting access to high-cost subscription tiers is permissible. Each market represents a different deadline, establishing whether the model will be released by specific dates throughout the year.
Frequently asked questions
Key catalysts include OpenAI earnings calls, product announcements, and executive commentary on development timelines. Competitive releases from Anthropic, Google, or Meta may accelerate or delay OpenAI's roadmap. Regulatory developments around AI safety and deployment could push timelines. Research breakthroughs or scaling challenges affecting training efficiency will influence market odds. Hiring announcements, patent filings, and leaked internal documents sometimes hint at upcoming models. Macroeconomic conditions and investor sentiment also shape risk appetite for frontier AI bets. Real-time monitoring of these signals helps traders adjust positions as new information emerges.
