When will Gemini Carbon be released?

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

Currently, November 9–November 15 is dominating the market with an overwhelming 54.5% chance of winning. November 16–November 22 follows in second place at 12.6%, while November 2–November 8 sits in third with 10.5%. The betting volume for this specific market has already reached $98.2K, 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 9–November 15 (54.5%): Currently commanding the highest probability, November 9–November 15 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 55¢, signaling a high degree of market conviction. This contract alone has generated $46.1K in volume.

🥈 Tier 2: The Primary Challengers

• November 16–November 22 (12.6%): Positioned as the most viable alternative, November 16–November 22 maintains a 12.6% chance of resolving true. Its “Buy Yes” shares currently trade at 13¢.
• November 2–November 8 (10.5%): Sitting in third place with a 10.5% probability, the market shows measured skepticism toward November 2–November 8, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~22.4%)

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 23–November 29 (8.2%), No release by January 3 (0.3%), and December 14–December 20 (0.2%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like November 30–December 6 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 January 3, 2027, 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 23–November 29 currently trades at 8.2%, but our AI places its Fair Value at just 1.8%. This creates a large negative EV Gap of -6.4%, 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 January 3 as the premium value opportunity on the board. While the market only assigns it a 0.3% trading probability, our AI’s Fair Value assessment sits at 8.9% — yielding an impressive +8.7% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include November 2–November 8 (EV Gap: +2%) and December 14–December 20 (EV Gap: +1.2%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.