Try AI without an account or subscription
Perhaps you want to try AI without creating an account or paying for anything — or you have heard the term "open model" and wonder what it actually changes when you use it. In this guide, you will try one such service and see concretely what openness means in practice.
An open model usually means a model whose weights — the model's internal settings, which you can download — are released under terms of use. However, this does not automatically mean an open-source licence — a licence that meets precise, community-established openness requirements — free use, privacy or compatibility with your own device. A small model, in turn, is usually a lighter alternative to a larger model and may be suitable for a narrowly defined task.
What you will get from this guide
You will learn to distinguish between a model, the application that uses it and a download. You do not need to install anything to understand the basics.
Your first try in four steps
- 1
Open a well-known service in your browser
In this guide, you will try Vibe, Mistral's web-based AI at chat.mistral.ai. It works directly in your browser and requires no installation. The same idea also works with other trusted services if you want to compare them.
- 2
Get ready to ask about open weights
Some of Mistral's models have been released with open weights, for example under the Apache 2.0 licence — others are available only through this service. Next, you will ask Vibe directly what this means in practice.
- 3
Send the ready-made request
Copy the request below into Vibe as it is. It asks for two sentences and one concrete example, so you know exactly what to look for in the answer.
- 4
Look for the example in the answer
Check whether Vibe gave only a definition or also one practical example. You will examine this example more closely in the guide's Check and improve section.
Vibe opens in a new tab. Return to this guide if you want to copy the next request or clarification.
Open Vibe and try it (opens in a new tab)Ask Vibe about Mistral's open models
What open weights mean at Mistral
What does it mean that some of Mistral's models have open weights, for example under the Apache 2.0 licence? Explain in two sentences and give one concrete example of what this lets an ordinary user do.
Compatible with: Vibe
What openness changes in everyday use
Use without an internet connection
Example prompt:
You want to use AI at a holiday cottage or on a train with no internet connection.
Result:
You can download a model released with open weights to your computer in advance and use it without an internet connection, provided your device can run it. Vibe and other services that run only in a browser always require an internet connection because the request travels to the provider's server.
Building your own application on top of a model
Example prompt:
A small business wants to build its own customer service bot using the same kind of language model that large services use.
Result:
If the model has been released with open weights under a licence such as Apache 2.0, the business can download it and build its own product on top of it within the licence's permissions, without a separate agreement with the model's creator. If the model is available only through a paid API, the business can use it as a customer but cannot download or modify the model itself.
A small model for one narrowly defined task
Example prompt:
You need AI for just one simple, recurring task, such as writing short summaries of emails.
Result:
A small, lightweight model is often enough for this kind of narrowly defined task and may work faster or even run on your own device. A larger model adds little value for this task, but may be a better choice if the task varies greatly or requires extensive reasoning.
Check and improve
Check the licence claim
Check the claim in your previous answer about the Apache 2.0 licence: exactly what does it allow and require, and how do you know? If you are unsure about any point, say so directly rather than guessing.
Compatible with: Vibe
An effective check names exactly what the licence allows and requires — it does not simply repeat the first answer in the same words. If the second answer does not change at all or cannot justify the claim, it is not proof of accurate information: in that case, check the original source directly.
From an open model to a comparison you can test
A common request:
Which open AI should I choose?
Try asking this instead:
Compare an imaginary open model with a regular online service using these questions: what task do I need it for, where is the material processed, what does the licence allow, and what should I check before use? Do not recommend one option without the missing information.
A model's name or openness alone does not tell you whether the service fits the task or what its terms of use allow.
Once you have mastered the basics
Next, you can explore how a model is used in an application, what the licence allows and when running it locally makes sense. If you first want a tool for ordinary everyday use, return to the guide on which AI is right for you.
Free practice on this website
Separate confirmed information from an assumption
Write your own answer for both rounds. Use only the material provided as your background and do not add new claims.
The answers you write stay only in this browser tab. They are not sent to AI Licenses' server or to analytics.
Question 1/2
Question 1/2
The material explains how an earthquake's size and shaking are measured. Write one sentence stating what the material directly confirms about magnitude or intensity, for example. Then write a second sentence naming something about earthquakes that the material does NOT tell you at all.
Use the practice activity in your own AI service (optional)
Try the same tool with a new question.
Open does not mean free, free does not mean private, and local does not mean safe. Continue in the same service and see how these differences appear in practice.
Second round · about 5 min
Where shall we start?
How the request is built
- Task
- Explain what a small model is sufficient for and what it is not
- Background
- In general terms, without product names
- Format
- Two everyday examples of each
Explain what kinds of tasks a lightweight or small language model is typically sufficient for, and where it clearly falls behind a larger one. Give two everyday examples of each. Do not name individual products.
Ready to continue in the same service?
Vibe works in your browser and requires no installation. The same request also works in other services, so you can compare the answers.
The same rule applies here: A service does not become more private simply because you use it again.
Skills and concepts in this guide
Publication details and sources
- Published:
- July 9, 2026
- Sources checked:
- September 4, 2026