AI Launch Profile
Introducing Meta Llama 3
Meta released Llama 3 with 8B and 70B pretrained and instruction-tuned language models, plus safety tools for developers.
At a glance
Launch Snapshot
- Company
- Meta
- Launch date
- April 18, 2024
- Launch type
- Open-Source Release
- Category
- AI Open-Weight Models
- Audience
- Developers, Enterprises, Researchers
- Pricing
- Model weights were made broadly available; usage costs depend on hosting, inference provider, or cloud platform.
- Free plan
- Yes
- API
- Yes
- Open weights/source
- Yes
Launch Context
Use these links to move from this record into the broader Launch Intelligence database.
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 8B and 70B pretrained and instruction-tuned models plus developer safety tools, distributed broadly. huggingface.co
- Significance & novelty 7.0/10 — The record frames it as a major open-weight release that expanded the Llama ecosystem across cloud providers and local tooling. ai.meta.com
- Traction signals not scored — insufficient sourced evidence
- Offer clarity 6.5/10 — Weights were made broadly available; usage cost depends on hosting, inference provider, or cloud platform. ai.meta.com
Evidence checked 2026-07-11
Creator Coverage Next Steps
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Kingy AI Take
Meta released Llama 3 with open-weight 8B and 70B pretrained and instruction-tuned models plus developer safety tools (ai.meta.com). Developers, Enterprises, and Researchers got what the record frames as a default option for capable, deployable open models. The initial release omitted the larger multimodal and long-context capabilities promised for later, so match the version to the workload and budget hosting or an inference provider for real usage.
Who it is for
Developers, researchers, enterprises, model hosts, and builders using open-weight language models.
Traction notes
A major open-weight model release that expanded the Llama ecosystem across cloud providers and local tooling.
Source-backed record