Mozilla's inaugural State of Open Source AI report has been released, revealing that open source AI has reached parity with closed models in terms of capability [1]. The report, built on new analysis and a global survey of 950+ developers, shows that open models now power roughly a third of real-world AI usage, but capture only 4% of the revenue [2]. This gap indicates that there is not an issue purely of model quality, but of missing infrastructure [3]. China and East Asia now lead the world in open source AI adoption, at 89%, far ahead of the West, treating open source as a cornerstone of national strategy [4].
For developers, the appetite for open source is there, and cost and privacy rank as developers' top reasons for choosing models [5]. The report highlights the increasing competitiveness of open source AI with proprietary systems, emphasizing its societal and economic benefits [6]. The capability debate is settled, and the real decision has moved off the model and onto the harness that still makes open hard to deploy [7]. The report also notes that the venture-funded open-source ecosystem has reached a multi-hundred-billion-dollar scale, with companies like Databricks, DeepSeek, and Mistral achieving significant revenue and valuation [8].
The open-source AI stack has been mapped, with nine layers and 48 components scored across 10 criteria, showing that open source AI has a record of growing the pie and letting more people own a slice of it [9]. However, the report also notes that closed systems still lead in four areas: integrated harness, long-context fidelity, turnkey compliance, and accountability [10]. The future of open source AI is uncertain, but the report suggests that it has the potential to democratize access to AI and promote innovation [11]. As Raffi Krikorian, Mozilla's CTO, puts it: 'The path forward is competition and interoperability.
We believe in a world of many models, standard ways to plug them together, and the freedom to walk away from any vendor at any time' [12].
