How low will the OpenAI GPT 5.5 output token price get in 2026?

Currently, assessing how prediction market odds compare to analyst forecasts requires looking at external sources. Do analysts generally believe the OpenAI GPT-5.5 output token price will be at or below a certain level in 2026? While this market reflects the collective prediction of traders on Kalshi, it's important to compare these expectations to those expressed by industry experts and financial analysts who cover artificial intelligence and cloud computing costs. Discrepancies between the two can highlight areas of potential opportunity or disagreement.

On Kalshi, this market is priced through a continuous double auction, meaning buyers and sellers submit bids and offers, and the market price fluctuates based on supply and demand. Traders are essentially betting on the probability of the OpenAI GPT-5.5 output token price falling below certain levels by the end of 2026. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the aggregated beliefs of all participants, and the market dynamically adjusts as new information becomes available or sentiment shifts. This creates a real-time assessment of the likelihood of different price outcomes.

This market resolves around Jan 1, 2027, with the outcome confirmed once the average monthly token price for OpenAI’s GPT-5.5 model in December 2026 is verifiable from credible public reporting. The resolution will be based on publicly available data regarding OpenAI’s pricing structure, and the market will settle based on whether the average price falls at or below the levels defined in the different contract options available on Kalshi. Traders will then receive payouts based on the final outcome.

Several signals or events could significantly move this market. Major announcements from OpenAI regarding GPT-5.5’s capabilities, infrastructure costs, or pricing strategy would be key catalysts. Broader economic conditions, particularly those impacting cloud computing and AI development, could also play a role. Unexpected advancements in competing AI models from other companies could shift market sentiment, as could changes in the cost of computing power. Any news impacting the demand for AI services, or the efficiency of AI model training, could influence trading activity in this market.