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OpenAI · model release forecast

When is GPT-7 expected to be released?

Market-implied median · middle 50%: Mar 17 to Nov 10

3.2% within a week13% within a month

Prediction markets currently put the GPT-7 release around Jul 17, 2027, with a middle-50% window from Mar 17, 2027 to Nov 10, 2027. Markets imply a 3.2% chance of landing within a week of that date, and 13% within a month. The estimate is based on 2 active deadline contracts with $30K of traded volume. It has moved 74 days earlier over the past 70 days.

  • 2 active deadlines
  • $30K source volume
  • 71 days recorded
  • Updated

The evidence

Release probability by deadline

25%50%75%DecJanFebMarAprMayJunJulAugSepOctNovDecJan
Cumulative probability that GPT-7 has been released by each date.
GPT-7 release probability by deadline date
DeadlineProbability barProbability
By Jun 30, 2027 47%
By Dec 31, 2027 86%

Forecast history

How this estimate has moved

Since Sep 6, 2026 the expected release date for GPT-7 has moved 74 days earlier, from Sep 29, 2027 to Jul 17, 2027.

May 25Jul 11Aug 28Oct 14Sep 6Oct 11Nov 15 Jul 17, 2027
Each point is the median date Release Oracle published on that day.

Common questions

About the GPT-7 forecast

When is GPT-7 expected to be released?

Prediction markets currently put the GPT-7 release around Jul 17, 2027, with a middle-50% window from Mar 17, 2027 to Nov 10, 2027. Markets imply a 3.2% chance of landing within a week of that date, and 13% within a month. The estimate is based on 2 active deadline contracts with $30K of traded volume. It has moved 74 days earlier over the past 70 days.

How precise is the GPT-7 release date forecast?

Markets place 3.2% of the probability within a week of the median date and 13% within a month. A date with only a few percent inside a week should be read as a month, not a day.

Where does the GPT-7 release forecast come from?

Each public "released by <date>?" contract on Polymarket gives one point on a cumulative probability curve. Release Oracle sorts those points, corrects small inconsistencies, then interpolates the 50% crossing for the headline date and the 25% and 75% crossings for its uncertainty window. Forecasts are market signals, not lab announcements, and can be wrong.

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