Gemini Carbon released on...?

According to the latest prediction market data for the query “Gemini Carbon released on...?”, traders have formed a strong consensus.

Currently, November 10 is dominating the market with an overwhelming 47.8% chance of winning. November 12 follows in second place at 15.2%, while November 11 sits in third with 11.3%. The betting volume for this specific market has already reached $105.6K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• November 10 (47.8%): Currently commanding the highest probability, November 10 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 48¢, signaling a high degree of market conviction. This contract alone has generated $30.6K in volume.

🥈 Tier 2: The Primary Challengers

• November 12 (15.2%): Positioned as the most viable alternative, November 12 maintains a 15.2% chance of resolving true. Its “Buy Yes” shares currently trade at 15¢.
• November 11 (11.3%): Sitting in third place with a 11.3% probability, the market shows measured skepticism toward November 11, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~25.8%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes November 9 (8.1%), November 27 (5.3%), and November 18 (4.6%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like November 3 are still attracting notable interest.

On October 9, 2026, Business Insider reported that Google employees were internally testing a Gemini 4 model codenamed "Carbon," separate from the checkpoint later released as Gemini 4 Argon (https://www.businessinsider.com/google-employees-test-new-gemini-4-model-argon-barium-carbon-2026-10).

This market will resolve according to the calendar date (ET) on which "Carbon", or a model confirmed to be the same model referenced in the report described above, is made available to the general public by Google.

A qualifying model must be a Google AI model named "Carbon" (including variants or successor branding such as Gemini Carbon, Gemini 4 Carbon, or similar naming) or be confirmed to be the same model referenced in the report by Google or by a consensus of credible reporting. A model released under any other name, including a new Gemini model (e.g., Gemini 4.1) or an update to Gemini 4 Argon (including an update released under Argon's existing name or model identifier), will qualify only if it is confirmed by November 30, 2026, 11:59 PM ET to be the same model previously codenamed "Carbon", in which case the date on which it was made available to the general public will be used. Models merely derived from, distilled from, or incorporating improvements from Carbon will not qualify unless confirmed to be the same model.

A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must either be clearly defined and publicly announced by Google as accessible to the general public, or otherwise be made publicly accessible and explicitly labeled on the company's official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.

The primary resolution source for this market will be official information from Google; however, a consensus of credible reporting will also be used.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome November 10 currently trades at 47.8%, but our AI places its Fair Value at just 14.9%. This creates a large negative EV Gap of -32.9%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies No release by November 30 as the premium value opportunity on the board. While the market only assigns it a 2.8% trading probability, our AI’s Fair Value assessment sits at 17.8% — yielding an impressive +15% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include November 11 (EV Gap: +9.7%) and November 13 (EV Gap: +2.3%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.