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622,934
Markets across
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PLATFORM COVERAGE:
4
Polymarket:
49%
VS.
Kalshi:
51%
Which companies will have a #1 AI model by June 30? Odds & Prediction Markets
Time left: 12d:19h:04m
Will OpenAI have a #1 AI model by June 30?
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Intro
This market tracks which AI companies will achieve the top-ranked large language model on the Chatbot Arena LLM Leaderboard by June 30, 2026. Aggregating data from Polymarket and Kalshi, OpenAI currently shows a 4.2% consensus probability of holding the #1 position, while xAI shows 1.1%. Resolution will be determined by the Arena Score section of the Chatbot Arena LLM Leaderboard at lmarena.ai, with any tied score at the top sufficient for a Yes resolution. Watch the leaderboard through June 30, 2026, 11:59 PM ET, the final deadline for a company to achieve the #1 ranking.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Polymarket and Kalshi use different resolution dates (June 30 vs June 6, 2026) and different source specifications (explicit Chatbot Arena vs unspecified ranking). Polymarket allows any #1 position by June 30; Kalshi requires #1 status on a specific date (June 6). Source contingency is defined for Polymarket but absent for Kalshi.Hero Tip:
Treat these as two separate markets with different risk profiles. Polymarket rewards companies that achieve #1 at any point through June 30 and has a defined fallback source. Kalshi is a point-in-time snapshot on June 6 with no stated ranking source—request clarification from Kalshi on their ranking methodology before the resolution date. A company can satisfy Kalshi (June 6 #1) but not Polymarket (if it never held #1 before June 6), or vice versa (if it gains #1 between June 7-30).Critical Divergence Points:
Polymarket:
Resolves YES if company achieves highest Arena score on Chatbot Arena LLM Leaderboard (https://lmarena.ai/) for any duration by June 30, 2026, 11:59 PM ET. Ties qualify as YES. Explicit fallback to credible sources if primary source becomes unavailable. Key Quote: 'Results from the Arena Score section on the Leaderboard tab of https://lmarena.ai/ with the style control unchecked will be used to resolve this market.'Kalshi:
Resolves YES if company has top-ranked LLM on June 6, 2026 (specific snapshot date only). No ranking source explicitly specified. No contingency language for source unavailability or methodology disputes. Key Quote: 'If [Company] has the top-ranked LLM on Jun 6, 2026, then the market resolves to Yes.'
Polymarket
This market will resolve to "Yes" if the listed company has the highest arena score on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) for any amount of time by June 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No." Results from the "Arena Score" section on the Leaderboard tab of https://lmarena.ai/ with the style control unchecked will be used to resolve this market. If a listed model ties for #1 Arena score, it will suffice to resolve this market to "Yes." The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source becomes unavailable, the market will remain open until it is accessible again. If it becomes permanently unavailable, resolution will be based on another credible source.
Kalshi
The top-ranked LLM is determined by the LMSYS Chatbot Arena rankings on June 6, 2026. If two models are tied under Rank (UB), the model with the highest Arena Score wins. If still tied, the model with the most votes wins. If still tied, the model released earlier wins. The 'Remove Style Control' toggle must be checked when verifying the source.
Frequently asked questions
Prediction markets aggregate real-money bets from thousands of traders, creating a dynamic consensus that often differs from published analyst reports. While analysts rely on research, benchmarks, and expert judgment, market odds reflect live belief updated by financial incentives. Traders pricing which companies will have a #1 AI model by June 30 incorporate leaked benchmarks, product announcements, and competitive positioning faster than formal forecasts. Markets can be more responsive to emerging evidence, though both sources offer value: analysts provide detailed reasoning, while markets distill collective conviction into a single probability.
Kalshi and Polymarket can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different trader demographics, liquidity pools, and risk appetites. Kalshi shows 0.0% on its top outcome, while Polymarket reflects 1.1%, a spread of 1.1 percentage points. Differences arise from varying user bases, fee structures, and how each platform's order book concentrates around which companies will have a #1 AI model by June 30. Arbitrage traders exploit these gaps, but friction costs and settlement uncertainty can sustain price divergence. Monitoring both venues reveals where conviction is strongest and where uncertainty remains highest.
This market resolves on Jun 30, 2026. Resolution hinges on identifying which company or companies will have achieved a #1 AI model ranking by that date, based on credible benchmarks, leaderboards, and independent evaluation. The outcome depends on how leading AI performance is measured—whether by standard benchmarks like MMLU or ARC, proprietary evaluations, or consensus among major research institutions. Traders should monitor AI research releases, benchmark updates, and industry announcements leading up to the deadline to assess which competitors are positioning for top-tier model status.
Major catalysts include new model releases from OpenAI, Anthropic, Google, xAI, and other contenders, each capable of shifting perceived leadership. Benchmark results on standardized tests, real-world capability demonstrations, and regulatory announcements about AI safety or deployment can reshape trader expectations. Funding rounds, talent acquisitions, and partnership announcements signal competitive momentum. Academic papers establishing new evaluation standards or revealing performance gaps will influence odds on which companies will have a #1 AI model by June 30. Geopolitical developments affecting AI export or compute access may also reprrice market views on regional dominance.
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