TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 4, 10:00 AM EST
Kalshi
This event tracks which AI company will lead in text-to-image generation capabilities by a specific date. It reflects the competitive landscape of AI development, where firms invest heavily in improving visual content creation through advanced algorithms.
The event determines the leading text-to-image AI model as ranked on the Artificial Analysis Leaderboard at 10:00am ET on September 4, 2026. If any participant achieves the highest position, the corresponding market resolves to Yes. In cases where multiple models share the top rank, the publisher's official tie-breaking rules apply; if none exist, all tied entities equally share the highest position. Contracts for tied entities will resolve to $1 divided by the number of tied candidates, rounded down. The event operates independently of any official affiliations with the governing league or trademark holders.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, this market is priced through a continuous order book where traders submit bids and asks to set the odds. The current probability reflects the aggregated expectations of all participants, with liquidity indicated by volume of $245. Price discovery happens dynamically, adjusting to new information about product releases, performance benchmarks, or user growth among competing AI image generators.
This market resolves around Sep 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner will be the AI image generator that is most widely recognized as the top choice by the defined measurement standard at that time.
Several signals could shift this market before Sep 4, 2026. Major product announcements, significant updates to existing generators, or unexpected drops in user engagement for leading platforms may all influence odds. Analyst reports, industry conferences highlighting new capabilities, and any widely publicized quality or reliability issues could also cause rapid repricing as traders reassess the competitive landscape.