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Which AI should you use?

A practical comparison of the major AI assistants and model families (Claude, ChatGPT, Gemini, Grok, Perplexity, the Copilots, and the open-weight models Llama, Mistral, DeepSeek, and Qwen): what each is best at, what they cost, and how to choose.

The short answer

There is no single best AI assistant. The right choice depends on your task, your budget, and your data-governance needs. Most options split into two camps: closed models you use as a hosted product or API (Claude, ChatGPT, Gemini, Grok, Perplexity, and the Copilots), and open-weight models you can also download and self-host (Llama, Mistral, DeepSeek, Qwen).

This guide compares them side by side on what they're genuinely good at, then gives a plain decision rule for each. Use the table to scan, and the 'pick this if' notes to decide.

At a glance

The lineup, side by side

All prices are approximate and as of the date below. Always confirm on the provider's site.

Decide

Which one is right for you?

A plain decision rule for each. Most teams end up using two or three.

Pick Claude if…

Your work is coding, careful analysis, or writing that has to keep your voice. It's the strongest default for engineering and for tasks where being right beats sounding confident.

Read the Claude guide

Pick ChatGPT if…

You want one tool that does a bit of everything (text, images, voice, data analysis, custom assistants) with the largest ecosystem and the most help available online.

Read the ChatGPT guide

Pick Gemini if…

You live in Google Workspace, or you need to reason over very large documents, long videos, or mixed media in a single prompt.

Read the Gemini guide

Pick Grok if…

You need a read on what's being said right now on X, or you prefer a blunter, more casual tone, and you'll verify anything important.

Read the Grok guide

Pick Mistral if…

You want to self-host a capable model, care about cost-efficiency, or need a European, vendor-independent option with strong small models.

Read the Mistral guide

Pick DeepSeek if…

Cost is the dominant constraint and you want strong open-weight reasoning, ideally self-hosted given the data-governance questions around its hosted service.

Read the DeepSeek guide

Pick Qwen if…

You want open weights with a size for every job and strong multilingual coverage, self-hosted for data-sensitive work.

Read the Qwen guide

Pick Perplexity if…

You mainly need current, sourced answers (research, fact-finding, comparisons) rather than open-ended chat or content generation. It cites everything, so you can verify before you act.

Read the Perplexity guide

Pick Llama if…

You want to own the model that runs your product (self-hosted, on-device, or fine-tuned) with the largest open ecosystem behind it and no per-token vendor bill.

Read the Llama guide

Pick Microsoft Copilot if…

Your organization runs on Microsoft 365 and you want an assistant that drafts in Office and answers over your own emails, files, and meetings with enterprise data protection.

Read the Microsoft Copilot guide

Pick GitHub Copilot if…

You write code and want AI help in your editor (inline completion, chat about your repo, and an agent that makes multi-file changes) across VS Code, JetBrains, and GitHub.

Read the GitHub Copilot guide
How to choose

How to think about choosing

Start with the task. Coding and careful reasoning point one way; live information or a Google-centric workflow point another; high-volume, cost-driven, or data-sensitive work points toward open weights you can host.

Then weigh three constraints: cost (per-token API price, or compute if you self-host), data governance (where your data goes and who can see it), and ecosystem (the tools and apps you already use).

Most teams end up using two or three: a frontier model for hard problems, and a cheap or self-hosted open model for high-volume tasks.

How to choose

A note on the open-weight and China-based models

Mistral, DeepSeek, and Qwen can all be downloaded and run on your own infrastructure, which is attractive for cost, latency, and keeping data in your environment.

DeepSeek and Qwen are made in China; their hosted apps and APIs run on China-based infrastructure and apply local content rules. For sensitive or regulated North-American data, prefer self-hosting their open weights over the hosted services, or use a Western provider.

FAQ

Choosing an AI
common questions.

Direct answers to the questions we get asked the most. If yours isn't covered, write to the team.

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