Llama 4: replaced zero token prices with null: downloadable weights do not establish free hosted inference or a universal API price
Meta clarifies Llama 4 commercial economics by separating self-hosted weights from managed API pricing models.
Replaced zero token prices with null: downloadable weights do not establish free hosted inference or a universal API price — verified by the OnAirToday AI Progress Tracker against Meta's published documentation.
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The OnAirToday AI Progress Tracker recorded a verified change to Meta's Llama 4 (version Scout / Maverick): Replaced zero token prices with null: downloadable weights do not establish free hosted inference or a universal API price.
Meta’s Llama 4 Scout and Maverick are downloadable, mixture-of-experts models accepting text and image inputs and generating text. The benchmarks below are Meta’s April 2025 Maverick results; live verification of releases, documentation changes or incidents as of September 2026 was unavailable.
What changed in this review:
- Flaws and limitations updated
- Risks and threats updated
Teams building on Llama 4 should confirm limits, pricing and benchmark coverage against the vendor's own documentation before relying on these figures.
The full profile — capabilities, benchmark citations, known flaws and risk guidance — is on the tracker at /ai-models/llama-4.
References:
- https://ai.meta.com/blog/llama-4-multimodal-intelligence/
- https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct
- https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct
Generated insight by OnAirToday AI
Meta's shift to null pricing for Llama 4 clarifies the critical distinction between open-weight accessibility and the costs associated with enterprise-grade cloud inference. This strategic move signals that while the model architecture is available for self-hosting, scalability through official API channels will remain a paid utility.
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