TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 2, 10:00 AM EST
Kalshi
The competition tracks which AI model tops the LM Code Arena Leaderboard on a specific date. Each market focuses on a different AI system, with the outcome determined by their ranking.
Each market resolves to Yes if the respective AI model is ranked #1 on the LM Code Arena Leaderboard as of November 2, 2026, at 10:00am ET. If multiple models tie for the top rank, the publisher's official tie-breaking methodology applies; if none exists, all tied entities share the highest rank. Contracts for tied candidates resolve to $1 divided by the number of tied candidates, rounded down. Kalshi disclaims any affiliation with the Governing League, and all trademarks belong to their respective owners.
Currently, it's important to note that analyst forecasts for the AI coding market vary widely, with opinions differing on which tool will demonstrate the most significant advancement this week. This market offers a unique perspective, aggregating the wisdom of the crowd and providing a real-time assessment of probabilities based on actual trading activity. While some analysts may favor certain AI models, the market's odds reflect a broader range of informed opinions and potential developments.
This market resolves around Nov 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which AI coding tool is most widely recognized as the leading performer during the specified timeframe, as determined by objective metrics and expert consensus. Traders should monitor news and developments in the AI coding space leading up to the resolution date to stay informed about potential catalysts.
Several signals could significantly impact this market. Major announcements from companies developing AI coding tools, such as new feature releases or performance benchmarks, would likely cause price fluctuations. Unexpected bugs or security vulnerabilities in a leading model could also shift the odds. Furthermore, influential blog posts, research papers, or endorsements from prominent figures in the tech industry could sway market sentiment and drive trading activity. Monitoring these developments is key to understanding potential shifts in the AI coding market.