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
- Status
- Verified
- Source links
- 2
- Freshness
- Needs recheck: verified June 8, 2026
- Last verified
- June 8, 2026
- Last updated
- June 11, 2026
Key source checks
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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
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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-backed record