Coding
Llama models can power coding tools you host yourself; the consumer assistant is not a primary coding tool.
Meta's assistant across WhatsApp, Instagram and Facebook, and the home of the Llama models.
The short version
Overview
Meta AI is the assistant built into Meta's apps, with a standalone app and website. It handles everyday questions, image generation and conversation, and reaches a very large consumer audience.
Meta is also known for releasing Llama models with open weights, which many organizations run privately. Public references suggest Meta's newest frontier work may be more closed, so check current licensing.
Current models. Llama 4 (April 2025) remains the best-documented open-weight family. Some references say Meta's newest frontier model, reported in April 2026, is API-only; confirm on Meta's AI site.
Where it is strong
Scores are Halden’s editorial view of typical fit on a 0–5 scale. They are not benchmark results and will differ by task, model version and plan: test on your own work.
Coding, analytics, documents, research
Llama models can power coding tools you host yourself; the consumer assistant is not a primary coding tool.
Fine for light questions; use Llama in your own stack for governed analytics.
Quick drafting and captions inside Meta's apps.
Convenient for everyday queries; verify important facts.
Practical tips
What has changed recently
A reference entry says Meta's newest frontier model, reported in April 2026, launched as closed and API-only; details are limited, so verify with Meta.
Source: Netzstrategen glossaryCompiled on October 9, 2026 from public reporting, much of it secondary. Dates, names and specifications can change, so confirm on Meta AI’s own site before you rely on them.
Go deeper
Keep exploring
FAQ
Meta AI is the assistant; Llama is the underlying model family that developers can also use directly.
Open-weight Llama models can be hosted on your own infrastructure, subject to their licence.
It is primarily a consumer assistant; evaluate separately for work.
A next step
Run a short pilot with the people who will use Meta AI, measure the result, and decide with data, not hype.
Free assessments
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