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: May 30, 8:00 PM EST
Polymarket
This market tracks which company will own the highest-ranked math reasoning model on the Chatbot Arena LLM Leaderboard at the end of May 2026. Google is currently priced at 86.5% on Polymarket, with Anthropic at 10.5%. The market will resolve based on the "Text Arena | Math" leaderboard ranking at https://lmarena.ai/ checked on May 31, 2026, 12:00 PM ET, using the Rank column with Arena score as a tiebreaker. Watch for model releases and benchmark updates leading up to the May 31, 2026 resolution check.
Prediction market odds on Polymarket reflect real-money trader conviction and often diverge from published analyst forecasts on Math AI leadership. While analysts may rely on benchmarks, research papers, and expert commentary, prediction markets incorporate forward-looking bets from participants with financial incentive to be accurate. Market odds tend to shift faster than analyst reports when new model releases or performance data emerge. Comparing Polymarket probabilities to major AI research institutions' assessments can reveal where the market is pricing in information that traditional forecasters have not yet fully weighted.
The market resolves on May 31, 2026. Resolution hinges on which company is determined to have the best Math AI model at that moment. The outcome will be assessed based on publicly available benchmarks, model releases, and performance metrics recognized by the AI research community by end of May 2026. Traders should monitor major model announcements, benchmark results, and expert consensus in the weeks leading up to resolution to anticipate how the market will ultimately settle.
Key catalysts include new Math AI model releases or major version updates from leading companies, publication of peer-reviewed benchmarks or leaderboard results showing mathematical reasoning performance, announcements of partnerships or breakthroughs in formal verification or theorem-proving, and statements from prominent AI researchers endorsing one company's approach. Academic competition results, standardized test performance on mathematical problems, and real-world deployment successes in research or industry settings could all shift trader expectations. Media coverage of AI safety and capability claims will also influence how the market prices each company's likelihood of holding the title by May 2026.