Getting started with AI models
A practical introduction to what models are, how providers differ, and how to avoid overthinking your first setup.
What matters first
When you are new to AI, do not start by comparing every benchmark. Start with three things: what task you want to solve, how much context you need, and how much cost you can tolerate.
For most people, the first good decision is not the absolute best model — it is the model that is easy to use repeatedly for the real work you actually have.
- •Use a fast and cheap model for drafts, chat, and experimentation
- •Use a stronger reasoning model when the task is high-stakes or complex
- •Use long-context models only when you really need to pass large documents or codebases
How to choose your first provider
OpenAI, Anthropic, Google, Meta, Mistral, and DeepSeek all matter for different reasons. Hosted providers are easiest when you want speed and convenience. Open-weight ecosystems matter when you want control, self-hosting, or experimentation.
Modeldex is most useful when you treat providers and models separately: the provider tells you about ecosystem, release behavior, and API style; the model tells you about price, context, and capability.
Use Modeldex as a workflow, not just a directory
The best way to use Modeldex is to move between guides, find-a-model, compare, benchmark pages, and provider pages. That gives you both the quick answer and the deeper context behind it.
- •Start at /find if you already know the use case
- •Go to /compare when you are choosing between 2–3 strong candidates
- •Use provider pages when you want release history, ecosystem context, and news
Next step
Use this guide together with the live Modeldex product surface so the theory turns into a practical workflow.
Trust note
Modeldex combines curated provider/model profiles, auto-synced ecosystem data, benchmark ingestion, release tracking, and community input. Use these guides as decision support, then verify freshness signals and source context on the live model, provider, benchmark, and MCP pages before making high-stakes choices.