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哪家公司在3月31日擁有最好的數學AI模型?

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哪家公司在3月31日擁有最好的數學AI模型?

Mar 31

Mar 31

OpenAI 98.6%

谷歌 <1%

DeepSeek <1%

Anthropic <1%

Polymarket

$444,107 交易量

OpenAI 98.6%

谷歌 <1%

DeepSeek <1%

Anthropic <1%

Polymarket

$444,107 交易量

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OpenAI

$52,260 交易量

99%

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谷歌

$125,234 交易量

1%

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DeepSeek

$67,147 交易量

<1%

Market icon

Anthropic

$56,232 交易量

<1%

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xAI

$57,962 交易量

<1%

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Moonshot

$29,007 交易量

<1%

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Z.ai

$24,711 交易量

<1%

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Mistral

$0 交易量

<1%

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阿里巴巴

$31,554 交易量

<1%

This market will resolve to the company that owns the model with the highest “Mathematics Average” score on the LiveBench AI model leaderboard (https://livebench.ai/#/), on March 31, 2026 at 12:00 PM ET. If two models are tied for the highest LiveBench Mathematics Average score at this market's check time, resolution will be based on whichever company's name, as it is described in this market group, comes first in alphabetical order. The primary source of resolution for this market will be LiveBench’s AI leaderboard, specifically the “Mathematics Average” category, found at livebench.ai. If this resolution source is unavailable at check time, this market will remain open until the LiveBench AI 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.OpenAI's o1 reasoning models, released in September 2024, have established a commanding lead in AI math capabilities, achieving state-of-the-art scores like 94.8% on the MATH benchmark and 83.3% on AIME—far surpassing competitors such as Google's Gemini 1.5 (92.5% MATH) and Anthropic's Claude 3.5 Sonnet (88.8%). This technical dominance, demonstrated through chain-of-thought reasoning advancements, underpins the 98.6% trader consensus, reflecting aggregated skin-in-the-game bets on sustained superiority through March 31, 2025. Challenges could arise from imminent releases like Google's Gemini 2.0 (expected December) or DeepSeek-V3, if they exceed o1 on key math evaluations, though historical launch delays and benchmark volatility temper such risks. Traders eye LMSYS Arena math leaderboards and independent evals as pivotal near-term catalysts.

This market will resolve to the company that owns the model with the highest “Mathematics Average” score on the LiveBench AI model leaderboard (https://livebench.ai/#/), on March 31, 2026 at 12:00 PM ET.

If two models are tied for the highest LiveBench Mathematics Average score at this market's check time, resolution will be based on whichever company's name, as it is described in this market group, comes first in alphabetical order.

The primary source of resolution for this market will be LiveBench’s AI leaderboard, specifically the “Mathematics Average” category, found at livebench.ai. If this resolution source is unavailable at check time, this market will remain open until the LiveBench AI 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.
交易量
$444,107
結束日期
Mar 31, 2026
市場開放時間
Dec 12, 2025, 1:25 PM ET
This market will resolve to the company that owns the model with the highest “Mathematics Average” score on the LiveBench AI model leaderboard (https://livebench.ai/#/), on March 31, 2026 at 12:00 PM ET. If two models are tied for the highest LiveBench Mathematics Average score at this market's check time, resolution will be based on whichever company's name, as it is described in this market group, comes first in alphabetical order. The primary source of resolution for this market will be LiveBench’s AI leaderboard, specifically the “Mathematics Average” category, found at livebench.ai. If this resolution source is unavailable at check time, this market will remain open until the LiveBench AI 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.OpenAI's o1 reasoning models, released in September 2024, have established a commanding lead in AI math capabilities, achieving state-of-the-art scores like 94.8% on the MATH benchmark and 83.3% on AIME—far surpassing competitors such as Google's Gemini 1.5 (92.5% MATH) and Anthropic's Claude 3.5 Sonnet (88.8%). This technical dominance, demonstrated through chain-of-thought reasoning advancements, underpins the 98.6% trader consensus, reflecting aggregated skin-in-the-game bets on sustained superiority through March 31, 2025. Challenges could arise from imminent releases like Google's Gemini 2.0 (expected December) or DeepSeek-V3, if they exceed o1 on key math evaluations, though historical launch delays and benchmark volatility temper such risks. Traders eye LMSYS Arena math leaderboards and independent evals as pivotal near-term catalysts.

OpenAI's o1 reasoning models, released in September 2024, have established a commanding lead in AI math capabilities, achieving state-of-the-art scores like 94.8% on the MATH benchmark and 83.3% on AIME—far surpassing competitors such as Google's Gemini 1.5 (92.5% MATH) and Anthropic's Claude 3.5 Sonnet (88.8%). This technical dominance, demonstrated through chain-of-thought reasoning advancements, underpins the 98.6% trader consensus, reflecting aggregated skin-in-the-game bets on sustained superiority through March 31, 2025. Challenges could arise from imminent releases like Google's Gemini 2.0 (expected December) or DeepSeek-V3, if they exceed o1 on key math evaluations, though historical launch delays and benchmark volatility temper such risks. Traders eye LMSYS Arena math leaderboards and independent evals as pivotal near-term catalysts.

基於Polymarket數據的AI實驗性摘要 · 更新於

警惕外部連結哦。

Frequently Asked Questions

"哪家公司在3月31日擁有最好的數學AI模型?" is a prediction market on Polymarket with 9 possible outcomes where traders buy and sell shares based on what they believe will happen. The current leading outcome is "OpenAI" at 99%, followed by "谷歌" at 1%. Prices reflect real-time crowd-sourced probabilities. For example, a share priced at 99¢ implies that the market collectively assigns a 99% chance to that outcome. These odds shift continuously as traders react to new developments and information. Shares in the correct outcome are redeemable for $1 each upon market resolution.

As of today, "哪家公司在3月31日擁有最好的數學AI模型?" has generated $444.1K in total trading volume since the market launched on Dec 12, 2025. This level of trading activity reflects strong engagement from the Polymarket community and helps ensure that the current odds are informed by a deep pool of market participants. You can track live price movements and trade on any outcome directly on this page.

To trade on "哪家公司在3月31日擁有最好的數學AI模型?," browse the 9 available outcomes listed on this page. Each outcome displays a current price representing the market's implied probability. To take a position, select the outcome you believe is most likely, choose "Yes" to trade in favor of it or "No" to trade against it, enter your amount, and click "Trade." If your chosen outcome is correct when the market resolves, your "Yes" shares pay out $1 each. If it's incorrect, they pay out $0. You can also sell your shares at any time before resolution if you want to lock in a profit or cut a loss.

The current frontrunner for "哪家公司在3月31日擁有最好的數學AI模型?" is "OpenAI" at 99%, meaning the market assigns a 99% chance to that outcome. The next closest outcome is "谷歌" at 1%. These odds update in real-time as traders buy and sell shares, so they reflect the latest collective view of what's most likely to happen. Check back frequently or bookmark this page to follow how the odds shift as new information emerges.

The resolution rules for "哪家公司在3月31日擁有最好的數學AI模型?" define exactly what needs to happen for each outcome to be declared a winner — including the official data sources used to determine the result. You can review the complete resolution criteria in the "Rules" section on this page above the comments. We recommend reading the rules carefully before trading, as they specify the precise conditions, edge cases, and sources that govern how this market is settled.