An app says it uses Llama — what does that actually mean?
You see “This assistant is based on the Llama language model” in an app’s description, or assume that Meta’s own AI assistant must use Llama because Meta developed it. In April 2026, that assumption was already wrong for Meta’s own product: Meta switched the Meta AI app and meta.ai website to the new Muse Spark model, and Llama no longer powers them. The same company and product name therefore do not tell you which model an app currently uses — you need to check separately, and it is often surprisingly easy.
Llama itself is a family of language models published by Meta: a set of models in different sizes that many other companies can use in their own apps instead of Meta. This is possible because Llama is released with open weights — the model’s internal parameters can be downloaded and run on anyone’s own hardware, unlike a closed model accessible only through its maker’s service. Identifying whether your particular app uses Llama also tells you whose terms and which licence apply to it.
Remember the distinction
Llama is a model, not an app. The app that displays a chat box may use Llama, another model — or change models at any time, as Meta just did with its own assistant. An app’s features and privacy practices do not follow from the model’s name alone.
Find out which model is behind your app
- 1
Open an app you already use
Choose an AI assistant or app you use regularly — for example, your phone’s built-in assistant, a chat tool at work or a browser-based service.
- 2
Look for the model’s name in settings or on the About page
The model’s name is usually in the app’s settings, About page, help or frequently asked questions. Its exact location, and whether the information is provided at all, depend on the app, your account and your region.
- 3
If you cannot find it, compare two official pages
Then open the official page of another AI provider, such as OpenAI or Google, and compare its stated model licences, weight availability and ways to use the model with Llama. A chat service may offer several models: check the specific model, rather than assuming the service name tells you whether its weights are open.
- 4
Note down three things
Is the model released with open weights or is it closed? Which company provides it? And where did you check — the app’s own source or the model maker’s page? These three answers already take you a long way.
The page opens in a new tab on Meta’s Llama website. Return to this guide when you want to continue comparing or copy the next request.
Open Llama’s official page (opens in a new tab)Try this
Interpret a marketing claim
An app’s description says: “Our app uses open Llama AI technology.” Explain exactly what this sentence promises me as a user and what it does not tell me about the model, licence or privacy. Finish by listing three questions I should ask the app’s developer before trusting it with something sensitive.
Compatible with: Your chosen AI service or local app
Check and improve
You have a reply — update your assessment
Suppose the app’s developer answered your questions as follows: the app uses the Llama 3.1 model on its own servers in Europe, and your messages are not used for further model training. Update your earlier answer using this information: explain which of your earlier concerns it resolves and which remain unanswered.
This refinement teaches you that one good answer is not enough. The same list of questions works as a checklist whenever the app or its developer provides new information about the model.
What open weights actually mean
What you can do with open weights
Example prompt:
An app says it uses Llama and calls it an open model.
Result:
Meta has made Llama’s model files available to download, so many other companies, researchers or enthusiasts can run the same model on their own servers or devices — not just Meta itself. That is why dozens of companies build Llama-based apps, each making its own decisions about where the model runs and how your data is handled.
What openness does not mean
Example prompt:
You think that because the model is open, you can use it for anything without restrictions.
Result:
Not quite. Open tells you who can run the model — not what you may do with it. Llama has its own community licence and acceptable use policy, just as closed models have their own terms.
Open does not mean unrestricted
Always check the licence and acceptable use policy for the specific Llama version you plan to use. Meta’s licence prohibits certain uses, and commercial services with very large numbers of users need a separate agreement with Meta.
From a model name to a model card you can check
A common request:
What can Llama do?
Try asking this instead:
Explain the intended use of a fictional Llama model, but separate information about the model, the service providing it and its licence. Finish by naming what I should check in the documentation for the particular service I use.
The same model family can appear in different services, so you need to check the model and its practical use separately.
Once you understand the basics
Next, you can compare Llama with other model families, learn to read a complete model card — the maker’s published summary of a model’s features, limitations and licence — and watch for later model changes in the app, just as Meta changed its own assistant. To explore the idea of open models more generally, continue to the guide on open and small models.
Free practice on this website
Separate known information from what the material does not say
Write your own answer first. The hint and assessment criteria become available only after your own attempt or after choosing “I don’t know yet”. The material stays visible throughout the exercise, so you can return to it at any time.
Your answers stay only in this browser tab. They are not sent to AI Licenses’ server or to analytics.
Question 1/2
Question 1/2
Your friend claims: “Picked coffee cherries can wait even a week before processing, as long as they are processed eventually.” Write a correction using only the information in the material below: explain what it actually says about the order of picking and processing, and identify where the original claim contradicts it.
Use the practice activity in your own AI service (optional)
Ask it which part is the model.
Llama is a model, not an app. The easiest way to learn the difference is to ask the assistant you are using right now — and see what it cannot tell you about itself.
Making distinctions · about 5 min
Where shall we start?
How the request is built
- Task
- Distinguish the model, app and feature
- Context
- Ask the service you use
- Format
- Three parts and the uncertain points
I am using this app right now. Explain which part is the model, which is the app, and which is a feature the app adds on top of the model. Finish by stating separately which of these things you cannot know for certain about yourself.
Ready to try it in a real tool?
Ask the assistant you actually use. The answer is most interesting for that particular service.
The name does not tell you everything: The model’s name does not tell you the app’s features, price or privacy practices. Always check the app’s own information or the provider’s website.
Skills and concepts in this guide
Publication details and sources
- Published:
- July 2, 2026
- Sources checked:
- September 4, 2026