Will any AI model reach ___ Math Arena Score by December 31?

According to the latest prediction market data for the query “Will any AI model reach ___ Math Arena Score by December 31?”, traders have formed a strong consensus.

Currently, 1575 is dominating the market with an overwhelming 72.5% chance of winning. 1600 follows in second place at 28.4%. The betting volume for this specific market has already reached $115.1K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• 1575 (72.5%): Currently commanding the highest probability, 1575 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 73¢, signaling a high degree of market conviction. This contract alone has generated $34.4K in volume.

🥈 Tier 2: The Primary Challengers

• 1600 (28.4%): Positioned as the most viable alternative, 1600 maintains a 28.4% chance of resolving true. Its “Buy Yes” shares currently trade at 28¢.

This market will resolve to "Yes" if any model on the Arena.AI Leaderboard (arena.ai/leaderboard/text) reaches at least the specified Arena Score on the "Leaderboard" tab for "Math" by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

Results from the "Score" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market.

The resolution source for this market is the Chatbot Arena LLM Leaderboard found at arena.ai/leaderboard/text. 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 permanently unavailable, this market will resolve to "No".

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome 1600 currently trades at 28.4%, but our AI places its Fair Value at just 19.4%. This creates a large negative EV Gap of -9.1%, suggesting the crowd may be overhyping this outcome and driving the premium too high.