Llama 4: replaced zero token prices with null: downloadable weights do not establish free hosted inference or a universal API price
Meta clarifies commercial boundaries for Llama 4 by decoupling model accessibility from hosted inference pricing.
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.
Llama 4 Scout and Maverick are Meta's downloadable-weight, multimodal mixture-of-experts models; the benchmarks below are Meta's published Maverick release results, with AIME referring to AIME 2024. Live source retrieval was unavailable for this response, so subsequent releases and the supplied 2026 incident reports could not be independently verified as of 20 September 2026.
What changed in this review:
- Identified stored benchmark figures as Maverick release results; AIME refers to AIME 2024.
- Recorded supplied security disclosures and copyright allegations with attribution, duplicate-coverage warnings, and no claim of confirmed in-the-wild exploitation.
- Excluded the aggregate incident-count headline because it identifies no specific additional case.
- Current release status and supplied 2026 reports remain unverified without live source access.
- 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 away from explicit zero-cost pricing for Llama 4 signals a maturing business model that separates model weights from infrastructure-as-a-service. This strategic clarity forces developers to distinguish between open-weight accessibility and the actual computational costs of large-scale deployment.

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