Google's Gemini family of AI models represents a significant effort to advance the company's position in artificial intelligence. The next generation of Gemini is anticipated to deliver improvements across various performance metrics, with particular attention paid to standardized benchmark scores that quantify model capabilities. This event aggregates three closely related prediction markets, each addressing a distinct question about Gemini's next model: whether it will debut at a benchmark score of at least 1480, at least 1500, or at least 1510. These thresholds are grouped together because they represent different achievement levels for the same model release, allowing prediction market participants to assess where performance is likely to land. The price relationships between these markets convey valuable information about collective expectations: if the market prices the 1480 threshold significantly higher than the 1500 threshold, it signals confidence that the model will clear the lower bar but greater uncertainty about the higher one. Conversely, if prices are tightly clustered, it suggests genuine uncertainty about which specific performance level will be achieved. These interconnected markets function as a sophisticated forecasting mechanism, capturing market consensus on a key milestone in AI development. Whether you are monitoring technological progress in large language models, assessing Google's competitive standing in the AI space, or exploring how prediction markets price specific technical outcomes, these three linked markets provide a window into expectations for Gemini's next major version release and its anticipated benchmark performance.