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Will Google have the top-ranked AI model on LMArena at the end of November 2026?

Resolution: Updated:

In short

The market treats this as close to a coin flip. LMArena's top spot has changed hands repeatedly through 2025 and 2026 as Google, OpenAI, Anthropic and others ship new flagship models, and no single lab has held a durable lead. A Google release that lands before the 30 November check time, or a rival's release that doesn't, would move this quickly in either direction.

Editorial illustration for: Will Google have the top-ranked AI model on LMArena at the end of November 2026?

How the contract works

A contract on this question settles at $1 if Google holds the #1 position on the specified LMArena leaderboard at the check time, and at nothing if any other company does. The check happens once, at 12:00 PM ET on 30 November 2026, using the Arena.ai Text Arena Overall leaderboard with style control off, filtered for Models and excluding AutoEval-tagged entries; ties are broken first by the underlying unrounded Arena score, then alphabetically by company name. The market price at any moment is simply what buyers and sellers currently think the chance of a Google #1 finish is โ€” a price of 0.30, for example, would imply the market sees roughly a three-in-ten chance, not this market's actual level. A position taken now can typically be sold before the 30 November check, at whatever price the market has moved to by then.
What the market thinks happens
$100
Yes49%

The event happens

Costs now
$0.49
If you put in $100
$204
No51%

The event does not happen

Costs now
$0.51
If you put in $100
$196

Probability

History starts collecting once the event is tracked

How the price has moved

The only figure available is the current consensus of 49%, from a single tracked venue, Polymarket, with $80,204 in total volume. There is no broader price history given here to describe a trend, but the level itself is informative: a reading this close to 50% says the market is not leaning toward either a Google or a non-Google outcome, and with volume this limited the price likely remains sensitive to new information, particularly any model launch announcement from a major lab.

Analysis

Context

LMArena (formerly Chatbot Arena) ranks AI language models by having users compare two anonymous model outputs side by side and vote for the better one. Those votes feed an Elo-style score, and the resulting leaderboard is widely cited in tech coverage as a rough proxy for which lab currently has the strongest general-purpose model. Unlike fixed benchmark tests, the ranking can shift within days of a new model launch, because votes accumulate fast once a model is added to the arena. The contest for the top spot has been genuinely competitive. Google's Gemini line, OpenAI's GPT models, Anthropic's Claude, xAI's Grok and, at times, Chinese labs such as DeepSeek have each held or challenged for #1 at different points as new versions released. Each lab treats the leaderboard as a marketing and credibility signal, which means releases are often timed to coincide with periods when a competitor's model might otherwise be on top. This contract asks specifically about the state of that leaderboard at a fixed moment: 12:00 PM ET on 30 November 2026, using the no-style-control, Models-filtered, AutoEval-excluded view of the Arena.ai Text Arena Overall board.
The consensus price sits at 49%, pulled from a single tracked venue, Polymarket, with total volume of $80,204. A reading this close to the midpoint says the market genuinely does not have a strong lean either way โ€” it is not pricing Google as the favorite or as the underdog, but treating a Google #1 finish and a non-Google #1 finish as roughly equally likely outcomes as of now. That 49% figure also has to be read against how thin this market is. With only one venue tracked and $80,204 in total volume, there isn't a large pool of participants setting the price, and it can move more on a handful of trades than a deeper market would. That matters for interpretation: a 49% price here reflects the judgment of a relatively small set of traders rather than a broad consensus, so it should be read as a rough gauge of sentiment rather than a precise forecast. The underlying mechanics of the leaderboard help explain why the market sits near even money rather than leaning hard toward Google or away from it. LMArena rankings are sensitive to recency โ€” a lab that releases a strong new model shortly before the check date has an advantage, because votes accumulate quickly once a model is live in the arena. Google, OpenAI and Anthropic have each demonstrated the ability to ship a flagship model on short notice, and any of them landing a release in the weeks before 30 November could flip the top spot. Because none of the facts available here point to a confirmed, scheduled release from any one lab timed specifically around that date, the market's near-50% price looks like an honest reflection of genuine uncertainty rather than a mispricing. The resolution rules themselves add a layer of precision worth noting: the check excludes AutoEval-tagged models and uses the no-style-control view, and ties go to the underlying unrounded score before alphabetical order. That detail matters because it removes some of the noise that style-control adjustments or experimental-tagged models might otherwise introduce into who is counted as #1.

What moves the probability

  1. Release timing before the checkpoint

    Whichever major lab ships a materially stronger flagship model closest to 30 November has an advantage, because LMArena scores update quickly once a model accumulates votes. This is the single largest swing factor and can move the probability sharply within days of an announcement.

  2. Google's release cadence

    Google has shipped Gemini updates at a steady pace through 2025 and 2026 and has held the LMArena top spot at various points in the past, which supports the case that another strong release is plausible before the check date. This pushes the probability up when Google is actively iterating, but only if the timing lines up.

  3. Competing labs' own roadmaps

    OpenAI, Anthropic, xAI and other labs are capable of releasing a model that displaces any current leader, and have done so repeatedly across 2025 and 2026. Every credible rival release before the checkpoint pushes the probability of a Google #1 finish down.

  4. Methodology specifics of the check

    The resolution uses the no-style-control view, excludes AutoEval-tagged models, and filters for Models only, which changes which entries even qualify for the #1 slot compared with other leaderboard views. This narrows the field in ways that can favor models tuned differently than they would be under style-adjusted rankings.

The case for

  • Google would need to hold, or regain, the #1 slot on the specified no-style-control Arena.ai leaderboard at the 12:00 PM ET check on 30 November 2026.
  • A new Gemini release landing in the weeks before the check, strong enough to out-score current leaders on the unrounded Arena score, would secure the top spot under the stated tie-break rules.
  • Google has previously held the top LMArena position during 2025 and 2026, showing the lab has the technical capacity to compete for #1 when it ships a new flagship model.

The case against

  • Any other major lab โ€” OpenAI, Anthropic, xAI, DeepSeek or another company โ€” could release a stronger model before 30 November and claim the top spot instead.
  • The leaderboard has changed hands repeatedly over the past two years, which argues against assuming any one lab's current position, or lack of it, will hold through the checkpoint.
  • The near-50% consensus price itself signals that market participants see no clear favorite, which is itself evidence against confidently expecting a Google finish.

What to watch

The fixed event is the check at 12:00 PM ET on 30 November 2026, when the Arena.ai Text Arena Overall leaderboard (style control off, Models filter, AutoEval excluded) is read to determine the #1 entry. Between now and then, watch for any flagship model announcements from Google, OpenAI, Anthropic, xAI or DeepSeek, since a release landing close to the checkpoint is the most direct way the ranking could shift. Also watch the leaderboard itself in the days leading up to 30 November, since LMArena rankings can change as voting accumulates on newly added models.

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Probability

  • Will Google have the best AI model at the end of November 2026?49%
  • Will Anthropic have the best AI model at the end of November 2026?45%
  • Will OpenAI have the best AI model at the end of November 2026?4%
  • Will Meta have the best AI model at the end of November 2026?2%
  • Will DeepSeek have the best AI model at the end of November 2026?0%

Resolution rules

Determined by
https://arena.ai/leaderboard/text/overall-no-style-control
Resolution date

This resolves based on the Arena.ai Text Arena Overall leaderboard at https://arena.ai/leaderboard/text/overall-no-style-control, checked at 12:00 PM ET on 30 November 2026. The check uses the style-control-off view, filtered for Models, and excludes any AutoEval-tagged models. It resolves YES if the #1-ranked model belongs to Google, and NO if it belongs to any other company, such as OpenAI, Anthropic, Meta or DeepSeek. Ties are broken first by the underlying unrounded Arena score, then alphabetically by company name.

Calculation methodology โ†’

Local context

English-speaking tech and investor audiences track the AI leadership race closely because it feeds directly into how Alphabet, Microsoft and other AI-exposed companies are valued, and into which lab's products get default placement in search, productivity tools and enterprise contracts. A widely reported #1 finish on a public leaderboard like LMArena tends to shape press coverage and investor narrative around a company's AI standing, even though the leaderboard itself is a crowdsourced preference ranking rather than a technical benchmark of capability.

Common questions

What exactly settles this question and when
The Arena.ai Text Arena Overall leaderboard is checked at 12:00 PM ET on 30 November 2026, using the no-style-control view filtered for Models and excluding AutoEval-tagged entries. Whichever company owns the #1-ranked model at that exact moment determines the outcome.
What does the current market price mean
The price reflects what traders currently think the chance of a Google #1 finish is, not a prediction guaranteed to be correct. A price near 50% means the market sees a Google finish and a non-Google finish as roughly equally likely.
What happens if the leaderboard result is ambiguous or a model's ownership is unclear
The settlement rules specify a tie-break: first by the underlying unrounded Arena score, then alphabetically by company name if scores are identical. The rules also explicitly exclude AutoEval-tagged models and restrict the check to the Models filter, which removes most sources of ambiguity about which entries count.
Why does the leaderboard change so often
LMArena scores update as users vote on anonymous side-by-side model comparisons, so a newly released model can rise quickly once enough votes accumulate. Major labs have historically timed releases in ways that have repeatedly shifted the top spot across 2025 and 2026.
Why is trading volume on this market so low
At $80,204 across the one tracked venue, this is a relatively thin market, which means the price can move more on individual trades than it would in a deeper market, and should be read as a rough sentiment gauge rather than a precise forecast.

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