At a Glance
| Vendor | Meta |
| Family | Llama 4 series |
| Launched | Meta released the Llama 4 family in 2025, including Scout (smaller, faster) and Maverick (larger, more capable) variants, continuing Meta's commitment to open-weight releases. |
| Context window | Scout: 10M tokens (one of the largest in the industry). Maverick: 1M tokens. Both represent substantial context-window increases over Llama 3. |
| Pricing | Free to download and self-host under Meta's community license. Commercial use has license restrictions at very large scale. Hosted API pricing is available via Meta-partnered cloud providers. |
| Access channels | Direct download (Hugging Face, llama.com), Meta AI consumer products (WhatsApp, Instagram, Messenger, Ray-Ban Meta), Groq, Together AI, Vertex AI, AWS Bedrock, Azure AI, and essentially every major cloud and inference provider. |
Notable Benchmarks
Competitive with frontier closed models on many general-capability benchmarks. Maverick is Meta's most capable open-weight model to date.
Strengths
Open weights enable self-hosting and fine-tuning. Extremely wide deployment surface through Meta consumer products + cloud partners. Large context windows enable long-document and multi-file workflows natively.
Limitations
Some benchmark gaps versus specialist reasoning models. Community license has commercial-scale restrictions that occasionally matter for very large deployers.
Brand-Visibility Implications
Llama 4 powers Meta AI across WhatsApp, Instagram, and Messenger, collectively several billion users. For any global B2C brand, Llama 4 visibility via Meta AI is material. For brands building on open-weight infrastructure, Llama 4 is the default choice for most use cases. See our Llama visibility page.
How Presenc AI Tracks This Model
Presenc AI monitors brand visibility on Meta's Llama 4 series as part of continuous multi-platform AI visibility tracking. We sample Meta Llama 4 across representative prompt sets daily, compare against competitor performance on the same prompts, and flag material mention-rate changes so brand teams can respond quickly when AI representation shifts.