TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 25, 10:00 AM EST
Kalshi
This event tracks which open-source AI model achieves the highest ranking on a specified index by a set date. The outcome depends on the performance metrics evaluated by an independent publisher, reflecting advancements in artificial intelligence development over the observed period.
The event determines the highest-ranked open-source AI model on the Artificial Analysis Intelligence Index as published on September 25, 2026, at 10:00 am ET. Each market corresponds to a specific AI model, resolving to Yes if that model holds the top position. In cases of tied rankings, the publisher’s official tie-breaking methodology applies; if none exists, all tied models share the highest rank. Contracts for tied models resolve to $1 divided by the number of tied candidates, rounded down. The event is independent of any affiliations with the governing league, and all trademarks remain the property of their respective owners.
On Kalshi, this market is priced using a continuous double auction, meaning traders buy and sell contracts representing different outcomes. The price of a contract reflects the market’s assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective intelligence of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current prices are driven by supply and demand, with traders constantly updating their positions based on new information and their own analysis of the open source AI landscape. This dynamic pricing mechanism ensures the market remains responsive to changing conditions.
This market resolves around Sep 25, 2026, with the outcome confirmed once the leading open source AI project is verifiable from credible public reporting. Resolution will be based on widely recognized metrics of project adoption, community engagement, and technical advancement. The specific criteria will be determined by assessing the landscape of open source AI at that time, focusing on objective indicators of success. Traders will be able to see the final outcome and how it aligns with their predictions once resolution is complete. The outcome will be based on the leading open source AI project at the time of resolution.
Several signals and events could significantly move this market before it resolves. Major announcements regarding new open source AI models, significant funding rounds for specific projects, or breakthroughs in AI research could all impact trader sentiment. Unexpected regulatory changes or shifts in industry focus could also play a role. Furthermore, the release of performance benchmarks comparing different open source AI projects, or the emergence of a new, disruptive technology, could cause substantial price fluctuations in this market. Monitoring these developments will be key to understanding the dynamics of the open source AI market.