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When is GPT Astra 6.1+ expected to be released?

Market-implied median · middle 50%: Nov 20 to Nov 30

68% within a week99% within a month

Prediction markets currently put the GPT Astra 6.1+ release around Nov 25, 2026, with a middle-50% window from Nov 20, 2026 to Nov 30, 2026. Markets imply a 68% chance of landing within a week of that date, and 99% within a month. The estimate is based on 3 active deadline contracts with $1.2M of traded volume. It has moved 35 days later over the past 50 days.

  • 3 active deadlines
  • $1.2M source volume
  • 51 days recorded
  • Updated

The evidence

Release probability by deadline

25%50%75%NovDecJan
Cumulative probability that GPT Astra 6.1+ has been released by each date.
GPT Astra 6.1+ release probability by deadline date
DeadlineProbability barProbability
By Nov 30, 2026 78%
By Dec 15, 2026 98%
By Dec 31, 2026 99%

Forecast history

How this estimate has moved

Since Sep 26, 2026 the expected release date for GPT Astra 6.1+ has moved 35 days later, from Oct 21, 2026 to Nov 25, 2026.

Oct 14Nov 2Nov 22Dec 12Sep 26Oct 21Nov 15 Nov 25, 2026
Each point is the median date Release Oracle published on that day.

Common questions

About the GPT Astra 6.1+ forecast

When is GPT Astra 6.1+ expected to be released?

Prediction markets currently put the GPT Astra 6.1+ release around Nov 25, 2026, with a middle-50% window from Nov 20, 2026 to Nov 30, 2026. Markets imply a 68% chance of landing within a week of that date, and 99% within a month. The estimate is based on 3 active deadline contracts with $1.2M of traded volume. It has moved 35 days later over the past 50 days.

How precise is the GPT Astra 6.1+ release date forecast?

Markets place 68% of the probability within a week of the median date and 99% 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 Astra 6.1+ 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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