AI Launch Profile
The Llama 4 herd
Meta introduced the Llama 4 herd with Scout and Maverick as open-weight natively multimodal mixture-of-experts models, plus a Behemoth preview.
At a glance
Launch Snapshot
- Company
- Meta
- Launch date
- April 5, 2025
- Launch type
- Open-Source Release
- Category
- AI Open-Weight Models
- Audience
- Developers, Enterprises, Researchers
- Pricing
- Weights and partner platform access are available; actual cost depends on hosting, inference provider, and hardware requirements.
- Free plan
- Yes
- API
- Yes
- Open weights/source
- Yes
Launch Context
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Verification & Sources
- Evidence state
- Recheck due
- Source links
- 2
- Freshness
- Needs recheck: checked June 8, 2026
- Last updated
- June 11, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
Kingy Launch Score
7.2 / 10 · Solid
One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works
Why this score
- Source & verification 7.0/10 — The Meta announcement plus the Hugging Face model org — two first-party sources. ai.meta.com
- Product evidence 8.0/10 — Open-weight natively multimodal mixture-of-experts models (Scout and Maverick) plus a Behemoth preview, with partner-platform access. huggingface.co
- Significance & novelty 7.0/10 — The record frames it as a major open-weight release that reset Meta's direction toward native multimodality and mixture-of-experts architecture. ai.meta.com
- Traction signals not scored — insufficient sourced evidence
- Offer clarity 6.5/10 — Weights and partner-platform access are available; cost depends on hosting, inference provider, and hardware. ai.meta.com
Evidence checked 2026-07-11
Creator Coverage Next Steps
This launch has signals that may support demos, reviews, creator education, founder storytelling, or practical product explainers.
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Kingy AI Take
Meta introduced the Llama 4 herd with Scout and Maverick as open-weight natively multimodal mixture-of-experts models, plus a Behemoth preview (ai.meta.com). The release shifts Meta's open-model direction toward native multimodality and MoE for developers and researchers on open weights. Benchmark claims, real-world quality, and license constraints need ongoing independent validation, so test Scout and Maverick on your own workloads first.
Who it is for
Developers, researchers, and enterprises building multimodal applications, long-context systems, and open-weight model products.
Traction notes
Major open-weight release because Llama moved to native multimodality and mixture-of-experts architecture.
Source list
Sources
Related Kingy Links
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