TOTAL VOLUME:
$114.5b
24H VOL:
$115,807,555
24H TRANSACTIONS:
1,362,287,844
OPEN INTEREST:
$1,188,566,556
336,771
Markets across
33,711
events
MATCHED EVENTS:
4,629
PLATFORM COVERAGE:
5
Polymarket:
42%
VS.
Kalshi:
58%
Claude
- Kalshi
Claude - Kalshi
1W
News
Positive
Negative
Neutral
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Vol.
·
Resolves Dec 31, 2026
Related News
Best AI in Dec 2026?
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Description
These markets assess whether specific AI companies will have the top-ranked large language model on the Chatbot Arena LLM Leaderboard by December 31, 2026. Both Kalshi and Polymarket use the same resolution source (Chatbot Arena) and identical ranking methodology, creating a unified event across platforms with multiple company-specific binary outcomes.
PredictionHero - Resolution Divergence Alerts (RDA)
Unified Resolution Criteria (Consistent across platforms)
Both platforms use identical resolution logic: rank #1 on Chatbot Arena Text Arena Overall leaderboard by December 31, 2026, 11:59 PM ET, with ties counting as Yes.Primary resolution logic: Chatbot Arena LLM Leaderboard at https://lmarena.ai/leaderboard/text (Text Arena | Overall tab, style control off)Core resolution logic:
- A company resolves to Yes if any model it owns or operates achieves rank #1 on the Chatbot Arena Text Arena Overall leaderboard
- Ties for #1 rank count as Yes resolution
- Resolution date is December 31, 2026, 11:59 PM ET
- Ranking is determined by the Rank column under the Text Arena | Overall tab with style control disabled
- Each company has an independent binary market; multiple companies can resolve Yes if multiple models tie for #1
Edge cases & clarifications:
- Leaderboard Unavailability: If https://lmarena.ai/ is offline at resolution time, markets remain open until the leaderboard comes back online. Resolution occurs on first check after restoration. If permanently unavailable, an alternative resolution source will be used.
- Tied Rankings: If a company's model ties for #1 rank with other models, the market resolves to Yes for that company.
- Multiple Models per Company: If a company has multiple models on the leaderboard, only the highest-ranked model matters. If any model achieves #1 or ties for #1, the company resolves Yes.
- Company Ownership Changes: Resolution is based on company ownership as of December 31, 2026. Models must be attributed to the specified company at resolution time.
Polymarket
This market will resolve to "Yes" if the listed company has the highest arena rank based on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No." Results from the "Rank" column under the "Text Arena | Overall" Leaderboard tab at https://lmarena.ai/leaderboard/text with style control off will be used to resolve this market. If a listed model ties for #1 Arena rank, 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 is unavailable at check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If it becomes permanently unavailable, this market will resolve based on another resolution source.
Kalshi
The market resolves Yes to the company whose large language model holds the top ranking on the LMSYS Chatbot Arena leaderboard on December 31, 2026. Resolution is determined by checking the 'Remove Style Control' toggle on the source. When models are tied under Rank (UB), tiebreakers are applied in sequence: highest Arena Score, most votes, and earliest release date. Each outcome represents a different company (OpenAI, Google, Anthropic, xAI, Meta, Alibaba, or Baidu), and exactly one will resolve Yes based on which company's model achieves the top-ranked position on the specified date.
Frequently asked questions
Prediction markets reflect real-money bets from traders with direct financial incentive to forecast accurately, often diverging from traditional analyst reports that may lag emerging developments. Market odds incorporate live information about model releases, benchmark results, and competitive positioning faster than published research cycles. While analyst forecasts provide structured reasoning and historical context, prediction market prices like those on Polymarket and Kalshi aggregate distributed knowledge from thousands of participants, making them a complementary signal for tracking which AI companies the market expects to lead by December 31, 2026.
Polymarket and Kalshi 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 regulatory environments, causing price divergence even for the same underlying event. Polymarket shows 23.5% implied probability while Kalshi reflects 68.1%, a spread of 44.6 percentage points. Differences arise from varying market depth, fee structures, user base composition, and timing of large trades. Arbitrage opportunities may persist due to friction costs and platform-specific settlement rules, making cross-platform comparison valuable for identifying where consensus is strongest.
This market resolves on Dec 31, 2026. The outcome is determined by identifying which company or companies operate the AI model ranked number one according to established benchmarks and evaluation criteria at that time. Resolution hinges on verifiable, publicly available rankings of AI model performance as of the deadline. Traders should monitor major AI leaderboards, benchmark releases, and official model announcements from leading AI labs throughout 2026 to anticipate how this event may settle.
Major catalysts include new model releases from OpenAI, Anthropic, Google DeepMind, and other labs, especially those claiming state-of-the-art performance on standard benchmarks. Significant breakthroughs in reasoning, multimodality, or reasoning-over-code could shift market conviction. Benchmark updates and independent evaluations carry weight, as do regulatory announcements affecting AI development timelines. Funding rounds, talent acquisitions, and partnership announcements signal competitive positioning. Quarterly earnings calls and technical papers from leading AI companies often trigger repricing. Watch for unexpected performance claims or third-party audits that validate or challenge market leaders' standing.
