Llama 4: replaced zero token prices with null: downloadable weights do not establish free hosted inference or a universal API price

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 open-weight, mixture-of-experts models accepting text and images and generating text; the benchmarks below are Meta's published Maverick results. Launch documentation is reflected here, but current release status and the supplied 2026 security coverage could not be independently rechecked without live source access.

What changed in this review:

• Clarified that the retained benchmark figures are Maverick launch results, not scores shared by Scout and Maverick.
• Added supplied NemoClaw and Ollama security disclosures, distinguishing infrastructure weaknesses from confirmed Llama 4 compromises.
• Excluded the copyright lawsuit from incidents because the supplied excerpt establishes allegations, not an exploited weakness or proven harm.
• 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