Artificial intelligence development represents one of the most closely watched domains in prediction markets. As OpenAI prepares to release its next model, traders and observers are pricing in expectations about its performance across different benchmarks. This event aggregates three related prediction markets that all measure the same underlying question: how well will OpenAI's forthcoming model perform, expressed as a numerical score? Rather than a single binary outcome, these three markets offer different performance thresholds—1480, 1500, and 1520—allowing participants to express nuanced views about where the model's performance will land. This structure reveals the implied probability distribution: if the market assigns high odds to the 1500+ threshold but lower odds to the 1520+ threshold, you can infer that traders see meaningful probability mass in the 1500–1520 range. When reading the prices below, watch how the odds shift across thresholds. A steep decline from 1500 to 1520 suggests concentrated uncertainty around that band. Conversely, if odds remain relatively stable, traders expect either a clear miss below 1480 or a decisive beat above 1520. The spreads between these markets can reveal where participants believe the model's true performance ceiling lies. These markets serve as a real-time referendum on AI capabilities and progress. Observing how odds evolve as new information emerges—technical benchmarks, competitive announcements, or model evaluations—provides insight into how the market prices incremental advances in artificial intelligence performance.