Which AI model should I use?
You do not need deep technical knowledge to choose well. In Verics, each model is labeled with a plain-language category, so you can match it to your task in a few seconds.
Navigation
Guide vs. Directory
The main decision factors
When you choose a model, you are really balancing a few simple factors against each other. You rarely need to optimise all of them at once — just the ones that matter for the task in front of you:
- how complex the task is, from a quick rewrite to multi-step analysis
- how much answer quality and depth you need
- how quickly you want the response
- whether the task involves files or images
- whether it needs careful, step-by-step reasoning
- whether it needs current or external information
- how it fits your available usage
Model categories in Verics
Rather than asking you to memorise model names, Verics labels each model with a plain-language category. The specific models behind each category depend on your configuration, but the category tells you what to expect:
Fast
Best for simple questions, translations and short texts. Choose it when the task is straightforward, you want a quick draft, or you are rewriting or shortening existing text.
Balanced
A dependable default for most everyday tasks that are a bit more demanding. If you are not sure which category to pick, this is usually the right place to start.
Deep analysis
Best for complex, multi-step tasks and more extensive research. Choose it when the work involves several steps, a detailed comparison, or careful analysis where quality matters more than speed.
Match the model to the task
Beyond the category, a few task types are worth calling out:
Working with files or images
To have the AI read a document or picture, choose a model that supports it and attach a supported file. Whether a given model can work with images depends on the model, so pick one that supports the file type you are adding.
Current information
For anything that may have changed recently, combine a suitable model with web search — or a more thorough research option if it is available in your plan. Always check the sources for claims that matter.
Technical and coding tasks
A Balanced or Deep analysis model generally handles explaining code, spotting errors or drafting small snippets. A model specialised for technical work may also be available depending on your configuration.
Quick selection guide
Use this as a starting point, then adjust based on the result you get:
| Your task | Start with | Why |
|---|---|---|
| Rewrite, shorten or translate text | Fast | Quick and enough for simple text work |
| Draft an email, summary or short article | Balanced | A good all-round default |
| Analyse, compare or plan across several steps | Deep analysis | Handles complexity and detail |
| Work from a document or image | A model that supports files or images | Reads your attached material |
| Use recent or external information | Balanced or Deep analysis, with web search | Looks beyond built-in knowledge |
If you are not sure
Start light, then step up
Related learning
Put it into practice
Open Verics, pick a category that matches your task, and see the difference for yourself.