Cyberax AI Playbook
cyberax.com
Model · Meta · Text

Llama 4 Maverick

Meta's flagship Llama 4 model — natively multimodal, larger MoE architecture than Scout. The Llama 4 frontier-tier entry.

Modality
Text
License
Llama 4 Community License (Open weights)
Parameter size
17B active / 128E
Released
April 5, 2025
Last verified
September 8, 2026
Runs locally
Yes
Also handles
vision

What you need to run it

Mac
Yes. Any Apple Silicon Mac (M1 or newer) with at least 256 GB (512 GB recommended) of memory. Newer chips are faster, but memory is what decides whether it runs.
Windows / Linux PC
Server only. Needs a server with several graphics cards, about 320 GB (640 GB recommended) of video memory in total — not a desktop PC.
No graphics card
Not practical. Too slow without a graphics card or Apple Silicon.

Only a 256 GB or 512 GB Mac Studio (Ultra chip) can hold it; otherwise it needs a multi-GPU server.

Numbers are for: 4-bit build of the 400B model (about 230 GB). Our estimate from the model’s size — the maker publishes no figure.

Strengths

  • Larger MoE expert count than Scout — more capacity per token
  • Native multimodal across text and vision
  • Strong instruction following at frontier scale

Weaknesses

  • Heavier deployment footprint than Scout
  • Community License restricts use at >700M MAU

Try it

WhereTypeNotes
Hugging Face weights Gated — accept Community License
OpenRouter hosted-api API key required

Version history

  1. Llama 4 Maverick Apr 2025 Current
  2. Llama 4 Scout Apr 2025

Change log

  • — Added hardware requirements (Mac support, memory, NVIDIA). Source: estimate from 400B size at 4-bit.
  • — Release date corrected to 2025-04-05, Meta's actual Llama 4 launch. The previous 2025-05-22 was the Hugging Face repo push timestamp. Still the newest Llama — there is no Llama 5; Meta's open-weight work moved to the Muse family (see Muse Glimmer 30B).
  • — Initial entry. Sighted on Hugging Face (lastModified 2025-05-22).