What happened
Vercel's AI Gateway Production Index report for November 2026 reveals that AI models have a half-life of around six weeks. This means that teams using paid AI services stick with a new model for an average of four weeks before switching to another new model. The report also shows that Anthropic Claude Opus 5.5 was the top model by spend in its first full month, following its launch on September 22, 2026. The rapid pace of innovation in the AI space is driving this trend, with teams needing to stay up-to-date with the latest models to remain competitive. The report highlights the importance of continuous innovation and the need for developers and organizations to adapt quickly to new technologies.
Vercel's AI Gateway Production Index report for November 2026 reveals that AI models have a half-life of around six weeks.
Teams using paid AI services stick with a new model for an average of four weeks before switching to another new model.
Anthropic Claude Opus 5.5 was the top model by spend in its first full month, following its launch on September 22, 2026.
The report also shows that older models are retained to some degree, but these are typically relying on less usage and, consequently, spend.
Why it matters
The trend of teams switching to new AI models quickly has significant implications for the development and deployment of AI models. It highlights the need for continuous innovation and the importance of staying up-to-date with the latest models to remain competitive. The report also suggests that older models are retained to some degree, but these are typically relying on less usage and, consequently, spend. This trend also underscores the importance of investing in research and development to stay ahead of the curve.
The trend of teams switching to new AI models quickly has significant implications for the development and deployment of AI models.
It highlights the need for continuous innovation and the importance of staying up-to-date with the latest models to remain competitive.
The report also suggests that older models are retained to some degree, but these are typically relying on less usage and, consequently, spend.
This trend also underscores the importance of investing in research and development to stay ahead of the curve.
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What to watch next
The trend of teams switching to new AI models quickly is likely to continue, driven by the rapid pace of innovation in the AI space. This will require developers and organizations to stay up-to-date with the latest models and technologies to remain competitive. The report also highlights the importance of image and video generation, with more spend and adoption than in previous months. As the AI landscape continues to evolve, it will be interesting to see how teams adapt to the changing landscape and what new technologies emerge to meet their needs.
The trend of teams switching to new AI models quickly is likely to continue, driven by the rapid pace of innovation in the AI space.
This will require developers and organizations to stay up-to-date with the latest models and technologies to remain competitive.
The report also highlights the importance of image and video generation, with more spend and adoption than in previous months.
As the AI landscape continues to evolve, it will be interesting to see how teams adapt to the changing landscape and what new technologies emerge to meet their needs.