The main takeaway is simple: Frontier AI pricing was flat over this window, ending at $4.64 per 1M tokens. That means the cost to run a fixed flagship-model basket did not drift over the 116 daily points from Jun 15, 2026 to Oct 15, 2026.
For developers, this is a budgeting win in one sense, predictability. But the spread between Frontier at $4.64 per 1M tokens and Budget at $0.74 per 1M tokens still signals a large cost gap depending on which tier you build on.
The AI Cost Index (Frontier basket), blended $/1M tokens over time.
The data shows no movement in the Frontier basket over the full window, with a latest blended price of $4.64 per 1M tokens and a 0% change from the starting point of $4.64. In practical terms, the AI Cost Index says flagship-model costs were stable rather than trending up or down.
That stability matters because token spend is one of the easiest line items to forecast once pricing stops moving. If you are shipping a product with steady usage, a flat index reduces surprise and makes cost controls more about usage volume than vendor repricing.
The Budget basket sits much lower at $0.74 per 1M tokens, which is the clearest signal in the dataset. The implication is not just that Budget is cheaper, but that model tier selection can dominate your token bill more than short-term price movement.
Frontier pricing finished flat at $4.64 per 1M tokens.
Budget pricing was $0.74 per 1M tokens, far below Frontier.
Flat pricing makes token budgets easier to forecast over time.
For most teams, usage volume now matters more than repricing.
About this data. Figures are from MyTokenTracker live data (AI Cost Index, open data API), free to use and cite under CC BY 4.0. Snapshot: October 15, 2026.
