Will OpenAI’s Astra model be released by September 30, 2026?
A repricing with partial backing — read the new probability with some caution.
The pricing has partial support: healthy trading volume and market depth, a tight spread.
How credible was the move?
Three separate questions — a move can be genuine while the latest price is still settling. Methodology →
Move validity
Is the move backed by real trading and depth?
ModerateThe pricing has partial support: healthy trading volume and market depth, a tight spread.
Consensus stability
Has the market settled at the new probability?
StableThe probability has held near its current level over the past several hours.
Contract clarity
Will the rules resolve without ambiguity?
HighThe resolution rules are relatively specific, with a named source and a defined deadline.
From the latest trade tape (most recent 200 prints) — a live activity sample, not a lifetime total.
What this market actually measures
On August 1, 2026, OpenAI publicly disclosed “Astra,” describing an internal version of Astra as its “next major model.” You can read more about that here: https://openai.com/index/ten-advances-in-mathematics/. This market will resolve to "Yes" if OpenAI releases "Astra" or a model confirmed to be the same model referenced in the announcement described above, and that model is made available to the general public by …
This summary shows the opening of the venue's official rules. ProbCast has not yet generated an independent plain-English interpretation for this contract — review the full rules before relying on it.
View full official resolution rules
On August 1, 2026, OpenAI publicly disclosed “Astra,” describing an internal version of Astra as its “next major model.” You can read more about that here: https://openai.com/index/ten-advances-in-mathematics/. This market will resolve to "Yes" if OpenAI releases "Astra" or a model confirmed to be the same model referenced in the announcement described above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No." A qualifying model must be named "Astra" (including variants or successor branding such as Astra 1, Astra 6, Astra X, GPT-6 Astra, or similar naming or rebranded versions) or be confirmed to be the same model referenced in the announcement by OpenAI or by a consensus of credible reporting. Products labeled as GPT-5.7, GPT-6, or similar will only count if they are confirmed to be the same model referenced in the announcement. 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 OpenAI as being accessible to the general public. The release must be either clearly defined and publicly announced by OpenAI as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company’s official website. 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 will not qualify. The primary resolution source for this market will be official information from OpenAI; however, a consensus of credible reporting will also be used.
What could move this market next?
- The market's deadline arrivesSeptember 30, 2026 at 7:59 PM ET
The contract must resolve based on what has happened by this date.
Derived from the contract's own mechanics as of Sep 4, 5:10 AM ET. ProbCast does not list scheduled meetings, announcements, or data releases it cannot verify.
Probability by deadline
The same event, priced across deadline contracts on this venue.
- By Sep 421.6%
- By Sep 30 (this market)98.9%
Extending the deadline from Sep 4 to Sep 30 adds about 77.3 percentage points of implied probability.
Advanced analysis (experimental)
Research signals — these models are still accumulating the history needed for full validation, and they can disagree with the headline read. Model confidence: low · expected error ±18 pts.
What's happening
Thin book and/or wide spread. Small orders can move this price disproportionately, so any single print is noisy and easily overread.