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Open AI models take half as long to catch up to closed models in each successive era, SemiAnalysis reports

SemiAnalysis reports that across successive AI eras, early scaling, reasoning, and agentic, open models have taken half as long to catch up to the first closed model.

WHY IT MATTERS

The narrowing time gap suggests that the competitive advantage of keeping AI models closed is shrinking over time. Builders relying on closed models for cutting-edge capabilities may find open alternatives reaching parity much sooner in newer paradigms.

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The three things worth knowing

01

SemiAnalysis compared open and closed models across the eras of frontier AI models.

02

The eras examined were early scaling, reasoning, and agentic AI.

03

Open models took half as long to catch up to the first closed model in each successive era.

THE CLUSTER

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Techmeme With each successive era of AI, from early scaling, to reasoning, to agentic, open models have taken half as long to catch up to the first closed model (SemiAnalysis) Open ↗