Giving the model away to own the layer beneath everyone
While rivals guard their frontier models behind paywalls, Meta is doing the opposite - releasing Llama free under an open community license to turn foundation models into a commodity. The strategic logic is that if model access costs nothing, enterprises pour their saved subscription budgets into building custom, proprietary systems on top of Meta's infrastructure, making Llama the default substrate of corporate AI.
How the commoditization escalated
Meta's releases steadily widened what free AI could do:
- Llama 3.1 (July 2024) shipped a 405-billion-parameter model competitive with the best closed systems, and crucially let companies use its outputs to train their own smaller models - sparking a wave of independence from paid APIs.
- Llama 3.2 (September 2024) added open vision capabilities plus lightweight 1B and 3B models that run locally on phones and edge devices, bypassing the cloud.
- Llama 4 (April 2025) moved to an efficient Mixture-of-Experts design that routes queries to specialized sub-models, slashing the compute cost of running the AI and passing those savings to enterprises hosting it.
The money behind "free"
Giving away world-class infrastructure takes enormous capital. Meta restructured aggressively in early 2026 - cutting roughly 8,000 roles and shifting thousands of staff into its core AI teams - while raising capital-expenditure guidance from US$125bn to about US$145bn, poured largely into next-generation AI data centers. It's a signal that Meta no longer sees itself as merely a social-media company.
Consumer reach as proof of scale
Meta is also using its own models to lock down consumer touchpoints. It embedded the 405B Llama model directly into WhatsApp, putting a frontier-grade assistant in front of billions for free, and is pushing to sell 10 million wearables via an expanded Ray-Ban smart-glasses lineup and a new corporate "Wearables for Work" tier. The underlying move is consistent: by absorbing the cost of training frontier models and giving them away, Meta shifts where money can be made - away from raw model access and toward the proprietary applications built on top, with Meta as the standard underneath.