TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Science and Technology
Which company has best AI model end of June?
kalshi
polymarket

Which company has best AI model end of June?

Volume:
$22,691,789

Anthropic

all

2 markets

Polymarket

Kalshi

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 30, 2026

Closed: Jun 29, 8:00 PM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

Anthropic

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$2,458,338
N/A
N/A
N/A
Settled
Yes
kalshi

Claude

100%
Yes 100¢No 0¢
100¢
N/A
$170,608
N/A
N/A
$78,834
Settled
Yes
polymarket

Z.ai

0%
Yes 0¢No 100¢
—
N/A
$5,143,391
N/A
N/A
N/A
Settled
No
polymarket

xAI

0%
Yes 0¢No 100¢
—
N/A
$2,149,136
N/A
N/A
N/A
Settled
No
polymarket

OpenAI

0%
Yes 0¢No 100¢
—
N/A
$1,752,305
N/A
N/A
N/A
Settled
No
kalshi

ChatGPT

0%
Yes 0¢No 100¢
100¢
N/A
$96,275
N/A
N/A
$61,291
Settled
No
polymarket

Google

0%
Yes 0¢No 100¢
—
N/A
$1,733,062
N/A
N/A
N/A
Settled
No
kalshi

Gemini

0%
Yes 0¢No 100¢
100¢
N/A
$95,077
N/A
N/A
$58,444
Settled
No
polymarket

Alibaba

0%
Yes 0¢No 100¢
—
N/A
$1,538,936
N/A
N/A
N/A
Settled
No
polymarket

DeepSeek

0%
Yes 0¢No 100¢
—
N/A
$1,217,239
N/A
N/A
N/A
Settled
No
polymarket

Mistral

0%
Yes 0¢No 100¢
—
N/A
$1,048,485
N/A
N/A
N/A
Settled
No
polymarket

Meta

0%
Yes 0¢No 100¢
—
N/A
$1,033,566
N/A
N/A
N/A
Settled
No
kalshi

LLaMA

0%
Yes 0¢No 100¢
100¢
N/A
$51
N/A
N/A
$51
Settled
No
polymarket

Moonshot

0%
Yes 0¢No 100¢
—
N/A
$836,526
N/A
N/A
N/A
Settled
No
polymarket

ByteDance

0%
Yes 0¢No 100¢
—
N/A
$791,180
N/A
N/A
N/A
Settled
No
polymarket

Meituan

0%
Yes 0¢No 100¢
—
N/A
$763,004
N/A
N/A
N/A
Settled
No
polymarket

Microsoft

0%
Yes 0¢No 100¢
—
N/A
$685,226
N/A
N/A
N/A
Settled
No
polymarket

Amazon

0%
Yes 0¢No 100¢
—
N/A
$630,687
N/A
N/A
N/A
Settled
No
polymarket

Baidu

0%
Yes 0¢No 100¢
—
N/A
$543,358
N/A
N/A
N/A
Settled
No
kalshi

Grok

0%
Yes 0¢No 100¢
100¢
N/A
$5,288
N/A
N/A
$5,238
Settled
No
kalshi

Qwen

0%
Yes 0¢No 100¢
100¢
N/A
$50
N/A
N/A
$50
Settled
No
polymarket

Company G

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Other

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Company F

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Company H

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 25

Intro

This market tracks which company will own the highest-ranked AI model according to the Chatbot Arena LLM Leaderboard. Across Kalshi and Polymarket, the consensus probability that Anthropic will have the best AI model at the end of June 2026 stands at 99.1%. Resolution will be determined by checking the Chatbot Arena Leaderboard ranking on June 30, 2026 at 12:00 PM ET, with ties broken first by Arena score and then alphabetically by company name. Watch the leaderboard standings as June 30, 2026 approaches to see if any model gains sufficient ground to challenge Anthropic's commanding lead.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket defines two distinct resolution metrics (Rank vs. Arena Score) across different market descriptions within the same event group, while Kalshi uses undefined 'top-ranked' language. Tiebreaker rules and source interpretation differ materially.Hero tip: Rank and Arena Score may not align on June 30, 2026. Polymarket's Microsoft market (rank-first) could resolve differently from Polymarket's Company G market (score-first). Kalshi's ambiguous 'top-ranked' language creates settlement risk. Request metric clarification from both platforms immediately and monitor the Chatbot Arena leaderboard structure as the event date approaches.

Critical divergence points:

  • Polymarket (Microsoft/Standard Markets): Resolves by Leaderboard Rank (primary metric), then Arena Score (granular values), then alphabetical order of company names. Source: https://lmarena.ai/leaderboard/text with style control off, checked June 30, 2026, 12:00 PM ET. Quote: 'Models will be ordered primarily by their leaderboard rank at the market's check time. If two or more models are tied on rank, they will be ordered by their Arena score.'
  • Polymarket (Company G Market): Resolves by Arena Score (primary metric), then alphabetical order of company names. Source: https://lmarena.ai/leaderboard/text with style control off, checked June 30, 2026, 12:00 PM ET. Quote: 'Results from the Arena Score section on the Leaderboard tab will be used to resolve this market. If two models are tied for the top arena score, resolution will be based on whichever company's name comes first in alphabetical order.'
  • Kalshi: Resolves if a specified company 'has the top-ranked LLM on Jun 30, 2026.' No metric definition (rank vs. score), no tiebreaker rules, no explicit source URL provided. Quote: 'If [Company] has the top-ranked LLM on Jun 30, 2026, then the market resolves to Yes.' Covers 6 companies: OpenAI, Meta, Alibaba, xAI, Anthropic, Google.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This market will resolve according to the company which owns the model which has the highest arena rank based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab is checked on June 30, 2026, 12:00 PM ET. Results from the "Rank" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text with the style control off will be used to resolve this market. Models will be ordered primarily by their leaderboard rank at the market’s check time. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie remains, alphabetical order of company names as listed in this market group will be used as a final tiebreaker (e.g., if the two models are tied by exact arena score, “Google” would be ranked ahead of “xAI”). This market will resolve based on the company that occupies first place under this ranking system. 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 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

Resolution is determined by identifying which company's large language model holds the top rank on June 30, 2026. When models are tied in rank, the model with the highest Arena Score takes precedence. If Arena Scores are also tied, the model receiving the most votes wins. If votes are tied, the earlier-released model is ranked higher. Each company (Google, OpenAI, Anthropic, xAI, Meta, and Alibaba) has one designated model, and exactly one will resolve to Yes based on which achieves the top ranking.

Frequently asked questions

Prediction market odds reflect real-money consensus from thousands of traders betting on AI leadership by June 2026, whereas analyst forecasts typically rely on expert opinion and historical trend analysis. Markets often price in faster technological shifts and competitive surprises than traditional research, since traders face direct financial incentive to forecast accurately. Comparing the two reveals whether Wall Street and tech analysts are more or less bullish on specific AI companies than decentralized market participants.

Major catalysts include new model releases from leading AI labs, published benchmark results comparing reasoning and coding ability, regulatory announcements affecting AI development, significant hiring or partnership news, and real-world deployment success stories. Breakthroughs in reasoning, multimodal understanding, or specialized domains could shift trader conviction. Conversely, safety incidents, performance regressions, or competitive leapfrogs by rivals may trigger sharp repricing. Quarterly earnings calls and AI conference announcements typically drive volatility in this market.