Gemini leads Kalshi’s year-end AI contest, with Claude trailing closely
PredictionBubbles' tech board, on its fresh Oct. 31 crawl, lists the year-end best-AI race on Kalshi with Gemini leading at 52.2%, Claude second at 39.0% and ChatGPT at…
Gemini holds the lead in Kalshi’s market on which AI will be best on Dec 31, 2026, according to PredictionBubbles’ tech board. Its fresh Oct. 31 crawl puts Gemini at 52.2%.
Claude is second at 39.0%, while ChatGPT stands at 7.4%. The supplied snapshot shows a much closer contest between the top two than between either leader and ChatGPT.
A snapshot of the year-end race
The figures appear in a summary published Oct 31, 2026 · 2:24 PM ET. They describe market pricing for the year-end outcome, rather than an assessment establishing which AI is currently best.
The supplied material includes no source links or full article. It also does not identify the criteria for determining “best AI,” the market’s settlement rules or earlier prices that would show whether any contender has gained ground.
What it means for prediction markets
- Gemini’s 52.2% makes it the favorite in this snapshot, but the pricing still leaves substantial uncertainty around the outcome.
- Claude’s 39.0% places it as the nearest challenger among the three named contenders; ChatGPT is priced much lower at 7.4%.
- The missing settlement criteria limit interpretation: the supplied figures alone do not explain what result would qualify an AI as the winner.
- A single crawl establishes the quoted standings, not a trend in trader expectations.
Sources & attribution
- Published
- Source 1
- Kalshikalshi.com
- Publisher
- https://kalshi.com/markets
- Source URL
- The feed did not publish this story's article address.
- Source 2
- PredictionBubblespredictionbubbles.com
- Publisher
- https://predictionbubbles.com
- Source URL
- The feed did not publish this story's article address.
Full attribution under the Digital Millennium Copyright Act (DMCA), 17 U.S.C. § 512: this article is an original report by Infiniti Intelligence that summarizes the reporting of the publishers named above, links to their original work, and reproduces no protected expression beyond brief factual reference and in-line attribution (“according to Kalshi”). All rights in the underlying reporting remain with the publishers listed; nothing here implies endorsement by or affiliation with them. Rights holders may request correction, update or removal through the contact address published at infiniti.w3ai.io.
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