Tech · Grok

Which company has the best AI model end of January? (Resolved)

$67.7K Volume
31/01/2026 00:00
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Google
$1.7M Volume
99%
OpenAI
$1.6M Volume
1%
xAI
$1.3M Volume
1%
Moonshot
$1.9M Volume
1%
Anthropic
$1.3M Volume
1%
Alibaba
$1.8M Volume
1%
Baidu
$1.1M Volume
1%
Z.ai
$2.1M Volume
1%
DeepSeek
$1.3M Volume
1%
Mistral
$7.3M Volume
1%
Meituan
$7.5M Volume
1%
Company A
50%
Company B
50%
Company C
50%
Company D
50%
Company E
50%
Company F
50%
Company G
50%
Company H
50%
Company I
50%
Company J
50%
Company K
50%
Company L
50%
Company M
50%
Other
50%

This market will resolve according to the company which owns the model which has the highest arena score based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab is checked on January 31, 2026, 12:00 PM ET.

Results from the "Arena Score" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text with the style control off will be used to resolve this market.

If two models are tied for the highest arena 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 (e.g., if both were tied, "Google" would resolve to "Yes", and "xAI" would resolve to "No")

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.

Odds & FAQ

When does the Which company has the best AI model end of January? (Resolved) market resolve?
Trading here has ended - the market resolved and was settled under Polymarket's published criteria.
How much money is trading on Which company has the best AI model end of January? (Resolved)?
$67.7K in total volume has traded here. Deeper markets like this tend to price events more sharply.

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