GPT-5.6 released by...?

According to the latest prediction market data for the query “GPT-5.6 released by...?”, traders have formed a strong consensus.

Currently, July 31 is dominating the market with an overwhelming 95.3% chance of winning. June 30 follows in second place at 27.8%, while June 23 sits in third with 5%. The betting volume for this specific market has already reached $997.4K, 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

• July 31 (95.3%): Currently commanding the highest probability, July 31 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 95¢, signaling a high degree of market conviction. This contract alone has generated $213.3K in volume.

🥈 Tier 2: The Primary Challengers

• June 30 (27.8%): Positioned as the most viable alternative, June 30 maintains a 27.8% chance of resolving true. Its “Buy Yes” shares currently trade at 28¢.
• June 23 (5%): Sitting in third place with a 5% probability, the market shows measured skepticism toward June 23, treating it as an outside wildcard unless momentum shifts.

This market will resolve to "Yes" if OpenAI's GPT-5.6 model is made available to the general public by the specified date (ET). Otherwise, this market will resolve to "No."

GPT-5.6 refers to a product explicitly named GPT-5.6, or a variant that is recognized as a direct successor to GPT-5.5, similar to the progression from GPT-5.1 to GPT-5.2. (e.g., GPT-5.7, GPT-5.8, etc., would qualify toward a "Yes" resolution to this market)

Qualifying releases of task-specialized models (e.g., GPT-Codex/Transcribe), cost-efficiency variants (e.g., Nano/Mini), or reasoning models of the o-series family will count for this market. Products labeled as a new flagship generation GPT-6 or similar will NOT qualify.

For this market to resolve to "Yes," 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 be either clearly defined and publicly announced by OpenAI as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within 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 OpenAI, with additional verification from a consensus of credible reporting.

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 July 31 currently trades at 95.3%, but our AI places its Fair Value at just 90.3%. This creates a large negative EV Gap of -4.9%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies June 23 as the premium value opportunity on the board. While the market only assigns it a 5% trading probability, our AI’s Fair Value assessment sits at 56.1% — yielding an impressive +51.2% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include June 30 (EV Gap: +19.6%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.