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Introducing Forrester’s AI Model Openness Framework

Nobody is talking about what 'open source' actually means in AI. Forrester just gave you the framework to tell the difference.

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Exploring the next frontier of AI research.AI illustration by KeyNews
The KeyNews take

Why it matters

As open vs. closed model wars intensify, a standardized framework for measuring true openness becomes critical for enterprises evaluating vendor lock-in risk and genuine community-driven development.

The key facts

7 to know
  1. Forrester Model Openness Framework (MOF) introduced

  2. Assessment across three dimensions: Reproducibility, Usage Rights, Community Momentum

  3. Framework applies to both open-source and commercial models

  4. Addresses ambiguity in 'open source' labeling across AI industry

  5. Three assessment dimensions: Reproducibility, Usage Rights, Community Momentum

  6. Applies to both open-source and commercial models

  7. Published April 17, 2026

Go to the source

Forrester Blogforrester.com

Publisher excerpt: Forrester's Model Openness Framework (MOF) can help you assess the real degree of openness in any AI model — whether it’s labeled open source or commercial across three key dimensions: Reproducibility, Usage Rights, and Community Momentum
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