OpenAI’s Astra released by…?

Platform comparison

Market context

OpenAI’s Astra has been publicly named, but it is not yet available to the general public, and the key market question is whether that changes before 31 October 2026. OpenAI’s 1 August disclosure described Astra as its “next major model”, but there was no model card, API endpoint, pricing page or launch date, which leaves the contract hinging on a public release rather than the announcement itself.[1][12]

Relative to other OpenAI launch cycles, the current crowd-implied level looks low against the possibility of a near-term rollout, but still far from certain because naming and release timing have diverged before. OpenAI has previously rebranded anticipated model drops at the last moment, including shipping GPT-5.5 instead of the rumoured GPT-6-style successor, so traders have to distinguish between an internal codename and the eventual public label.[7][16] Kalshi’s own curve suggests a materially higher chance of release before late September than before late August, with 22% for 21 August, 33% for 1 September and 64% for 18 September, while a separate market snapshot places October-end odds much higher, around the mid-80s, implying a sizeable divergence in how quickly the same contract is being priced across venues.[17][6]

The main catalyst is whether OpenAI turns the August research post into a product announcement, and whether any release clears the new federal pre-launch review process reported to take about 30 days.[1][2][15] If that review is being used, the timing of submission matters as much as the announcement itself, because a public launch could easily slide into September or later even if development is advanced.[1][2] Traders are also watching for confirmation of the final branding, since the market only resolves if the same model is released under Astra or a qualifying successor name, not merely if OpenAI launches another model family.[1][18]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page is a comparison snapshot: one live quote, four reference venues with their key attributes, and a single execution path — every trade button routes to Kalshi vs Polymarket, which mirrors the Polymarket order book directly.

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 Kalshi vs Polymarket. 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.

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.

How fast are USDC deposits?

Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.

How reliable are the quoted odds?

The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.