TOTAL VOLUME:
$148.4b
24H VOL:
$209,734,046
24H TRANSACTIONS:
2,817,056,367
OPEN INTEREST:
$1,865,708,956
470,731
Markets across
35,423
events
MATCHED EVENTS:
2,810
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
$
The competition between Meta and OpenAI will be measured by their respective top models' performance on the LM Arena text leaderboard at the end of 2026. The model's effectiveness will be compared based on Arena Scores, with the higher score determining the leader.
The event determines which company's top model achieves a higher Arena Score on the LM Arena text leaderboard as of December 31, 2026, at 10:00 AM ET. Each company's top model is defined as its highest-ranked model in the Overall category of the leaderboard, with style control removed and no adjustments applied. A model is attributed to the company listed as its organization on the leaderboard, and preliminary models are included in the evaluation. If both top models have the same Arena Score, the model ranked higher on the leaderboard wins. The market resolves to Yes for the company with the higher Arena Score or higher leaderboard rank in case of a tie.
Comparing prediction market odds to analyst forecasts reveals how collective intelligence differs from expert opinions. Often, this market reflects a broader range of perspectives than traditional forecasts, incorporating information from many individuals. While analysts may focus on specific technical aspects or company strategies, the market aggregates diverse viewpoints, potentially identifying overlooked factors. Discrepancies between the two can highlight areas of uncertainty or disagreement, offering a more nuanced understanding of potential outcomes for the Meta vs OpenAI Arena score competition.
On Kalshi, this market is priced using a continuous double auction, where traders buy and sell contracts representing potential 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 wisdom of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand, influenced by news, developments in AI, and overall market sentiment regarding the capabilities of Meta and OpenAI. This dynamic pricing mechanism aims to provide a real-time estimate of the likelihood of each scenario.
Several signals or events could significantly move this market. Major breakthroughs in AI model performance from either Meta or OpenAI, such as the release of a substantially more capable language model, would likely impact prices. Significant shifts in the competitive landscape, including new partnerships or acquisitions, could also influence trader sentiment. Furthermore, public perception and media coverage of each company’s AI advancements, as well as any reported issues or limitations with their models, could all contribute to price fluctuations in this market leading up to Dec 31, 2026.