OpenAI’s Astra released by…?

Platform comparison

Market context

OpenAI has publicly named **Astra** as its next major model, but it has not announced a general-availability date, pricing, or even the final product branding. That keeps the contract’s low **4%** crowd-implied probability broadly aligned with the current evidence: the market is pricing in a release that has been acknowledged in principle, yet still lacks the usual signs of an imminent launch such as an API page, model card, or access rollout.[2][4][12]

History argues for caution with early model-name reveals. OpenAI has previously shown that an internal or rumoured name can change before public release, with one recent model expected by some to land as a next-generation flagship instead arriving as a different variant and branding.[3] In the comparable Astra case, reporting says the model was previewed to officials in late July and then disclosed publicly on 1 August, but the published materials still stopped short of confirming a ship date.[15][17] That combination usually points to a staged launch rather than immediate broad availability.

The main catalysts are administrative and scheduling rather than technical: whether OpenAI starts or completes any federal pre-release review, whether it announces a consumer or API release in September or October, and whether it chooses to fold Astra into GPT-style naming or keep it separate. One recent report says Astra is expected to be among the first models to pass through a new roughly 30-day federal review, which would make a September public window plausible if the process has already started, though OpenAI has not confirmed that timing.[1][7] Cross-platform pricing appears to remain meaningfully higher than the crowd price on this contract, with one market snapshot showing late-October odds far above the 4% implied here, suggesting a sharper disagreement about whether “release” means announcement, preview, or public access.[6]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page reviews OpenAI’s Astra released by…? across five venues. The live probability is the Polymarket mid-price, sourced directly from the on-chain Polygon order book; the comparison columns benchmark each venue on fee structure, KYC, settlement currency and payment rails. Every CTA routes to Best Prediction Markets, which mirrors the Polymarket order book at 0% fees.

Resolution & payout

Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.

Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.

FAQ

Where can I trade this market with the lowest fees?

Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Best Prediction Markets. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

Is this market available outside the US?

Polymarket itself is geo-blocked in the US/UK/EU. Always check the legal status of prediction markets in your jurisdiction before trading.

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

What's the difference between YES and NO shares?

A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.

What does Polymarket cost to trade?

Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.