TOTAL VOLUME:

$148.4b

24H VOL:

$209,734,046

24H TRANSACTIONS:

2,817,056,367

OPEN INTEREST:

$1,865,708,956

470,731

Markets across

35,423

events

MATCHED EVENTS:

2,810

PLATFORM COVERAGE:

5

Polymarket:

38%

VS.

Kalshi:

62%

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Science and Technology
Meta vs OpenAI: Highest Arena Score at the end of 2026
kalshi

What is the result of Meta vs OpenAI?

Oct 12, 2026, 4:00 PM EST - Dec 31, 2026, 10:00 AM EST
Total volume:
$13,538
Volume 24h:
$0N/A
Liquidity:
N/AN/A
Open interest:
$6,741
0%

Meta

 - Kalshi

Meta - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Dec 31, 2026

Will Meta have a higher Arena Score than OpenAI at the end of 2026?

90%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 93¢ buys you 108 shares | Odds: 90% Total Payout: $108 | Net Profit: $8 Multiplier: 1.08x | ROI: 8% | APY: 48% 67 days to resolution
You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Meta

Trade
90%
Yes 93¢No 11¢
4¢
N/A
$4,919
0%
14%
$3,326
2mo 1w
active
kalshi

OpenAI

11%
Yes 12¢No 92¢
4¢
N/A
$8,619
0%
32%
$3,415
2mo 1w
active
Total markets: 2

Description

The competition between Meta and OpenAI will be measured by their respective top models' performance on the LM Arena text leaderboard at the end of 2026. The model's effectiveness will be compared based on Arena Scores, with the higher score determining the leader.

Kalshi

The event determines which company's top model achieves a higher Arena Score on the LM Arena text leaderboard as of December 31, 2026, at 10:00 AM ET. Each company's top model is defined as its highest-ranked model in the Overall category of the leaderboard, with style control removed and no adjustments applied. A model is attributed to the company listed as its organization on the leaderboard, and preliminary models are included in the evaluation. If both top models have the same Arena Score, the model ranked higher on the leaderboard wins. The market resolves to Yes for the company with the higher Arena Score or higher leaderboard rank in case of a tie.

Frequently asked questions

On Kalshi, the dashboard for the Meta vs OpenAI Arena score market tracks the current implied probabilities for various outcomes, the total volume traded, and a price history chart. Currently, the 24-hour volume is $0, and the total volume traded to date is $13,538. You can also view a visual representation of how the market’s price has fluctuated over time, offering insight into trader sentiment. This allows participants to monitor the evolving expectations surrounding the highest Arena score between Meta and OpenAI by the end of 2026.

Comparing prediction market odds to analyst forecasts reveals how collective intelligence differs from expert opinions. Often, this market reflects a broader range of perspectives than traditional forecasts, incorporating information from many individuals. While analysts may focus on specific technical aspects or company strategies, the market aggregates diverse viewpoints, potentially identifying overlooked factors. Discrepancies between the two can highlight areas of uncertainty or disagreement, offering a more nuanced understanding of potential outcomes for the Meta vs OpenAI Arena score competition.

On Kalshi, this market is priced using a continuous double auction, where traders buy and sell contracts representing potential outcomes. The price of a contract reflects the market’s assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective wisdom of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand, influenced by news, developments in AI, and overall market sentiment regarding the capabilities of Meta and OpenAI. This dynamic pricing mechanism aims to provide a real-time estimate of the likelihood of each scenario.

Several signals or events could significantly move this market. Major breakthroughs in AI model performance from either Meta or OpenAI, such as the release of a substantially more capable language model, would likely impact prices. Significant shifts in the competitive landscape, including new partnerships or acquisitions, could also influence trader sentiment. Furthermore, public perception and media coverage of each company’s AI advancements, as well as any reported issues or limitations with their models, could all contribute to price fluctuations in this market leading up to Dec 31, 2026.