TOTAL VOLUME:
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24H VOL:
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OPEN INTEREST:
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321,343
Markets across
31,490
events
MATCHED EVENTS:
3,478
PLATFORM COVERAGE:
5
Polymarket:
42%
VS.
Kalshi:
58%
AI model scores ≥ 90% on FrontierMath Benchmark before 2027?
- Polymarket
AI model scores ≥ 90% on FrontierMath Benchmark before 2027? - Polymarket
81%
1W
News
Positive
Negative
Neutral
Hover marker for details
Aug 18
Aug 19
Aug 20
Aug 21
Aug 23
Aug 24
Aug 25
Vol.
$1.3k
·
Resolves Dec 31, 2026
$
This event group tracks whether any state-of-the-art AI model will achieve a score of 90% or higher on the FrontierMath Benchmark before the end of 2026. The outcome depends on the performance of AI models on complex mathematical problems.
This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
The event evaluates whether any AI system solves at least one designated 'Frontier Math: Open Problems' between issuance and the respective deadline for each market. All markets share identical outcome criteria but differ only in their resolution dates, ranging from September 2026 to January 2027. For all markets, two specific problems—a Ramsey-style problem on hypergraphs and The 2-adic Absolute Galois Group—had already been solved by AI at issuance; solving these same problems again with different AI models does not satisfy market conditions. Resolution depends solely on whether a distinct, new Frontier Math problem is solved by AI within the applicable timeframe for each individual market.
On Polymarket, this market currently reflects a strong probability of success, while some analyst forecasts may vary based on different assumptions about computational advances and benchmark difficulty. The gap between market odds and expert opinions can hinge on recent breakthroughs, funding announcements, or shifts in the research community’s focus. Comparing these sources helps identify where crowd-sourced intuition diverges from established research timelines.
This market resolves around Dec 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. If any AI model publicly demonstrates a score of 90 percent or higher on the FrontierMath Benchmark before that date, the affirmative side wins; otherwise, the negative side is selected. No additional criteria or private data are required for resolution.
Key signals include major research publications, announcements from leading AI labs about new training techniques, or public benchmark results shared on platforms like arXiv or GitHub. Significant investments in computational resources, collaborations between tech giants, or even regulatory changes affecting AI development could also shift probabilities. Any demonstration — even incomplete — of near-90 percent performance may cause rapid repricing across venues.