Gemini Carbon released by...?

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

Currently, December 31 is dominating the market with an overwhelming 92.5% chance of winning. November 30 follows in second place at 84.5%, while November 15 sits in third with 64%. The betting volume for this specific market has already reached $98.1K, 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

• December 31 (92.5%): Currently commanding the highest probability, December 31 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 92¢, signaling a high degree of market conviction. This contract alone has generated $14.5K in volume.

🥈 Tier 2: The Primary Challengers

• November 30 (84.5%): Positioned as the most viable alternative, November 30 maintains a 84.5% chance of resolving true. Its “Buy Yes” shares currently trade at 85¢.
• November 15 (64%): Sitting in third place with a 64% probability, the market shows measured skepticism toward November 15, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~0%)

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 13 (57.5%), November 11 (47.5%), and November 9 (18%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like November 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 to "Yes" if Google releases "Carbon" or a model confirmed to be the same model referenced in the report described above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No".

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 the listed date to be the same model previously codenamed "Carbon". 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 11 currently trades at 47.5%, but our AI places its Fair Value at just 36.5%. This creates a large negative EV Gap of -11%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies November 4 as the premium value opportunity on the board. While the market only assigns it a 3.9% trading probability, our AI’s Fair Value assessment sits at 12.5% — yielding an impressive +8.6% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include November 6 (EV Gap: +6.7%) and November 30 (EV Gap: +3.5%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.