The top assistants have been within a few points of each other on general benchmarks for a while, which means the benchmark is no longer choosing for you. What still differs is everything around the model: what it can read, where it runs, and what the organisation allows it to receive.
This page is about picking one and stopping, using ChatGPT, Claude, Gemini, Microsoft Copilot, Grok, DeepSeek, and Le Chat as the field.
The short answer
Pick the one that is already inside your documents. For most teams that is ChatGPT or Claude for general work, Copilot if the organisation lives in Microsoft 365, Gemini if it lives in Google Workspace. Everything else is a second opinion, not a daily driver.
What actually differs
| Axis | Why it decides |
|---|---|
| Document and file access | The work is usually in a file, not a prompt |
| Context window | Long documents are the common case |
| Integration surface | The tool has to live where the work is |
| Data policy | Some content cannot be sent to some vendors |
| Price per seat | A factor, rarely the first one |
The first row decides more choices than the other four combined. An assistant that can read the document you are looking at saves a paste and a summary; one that cannot turns every task into a copy step.
The Microsoft and Google gravitational fields
Copilot's advantage is that it is already inside Word, Excel, Outlook, and Teams — the places where a large organisation's documents live. Gemini's is the same argument for Google Workspace. Neither is the strongest model in every comparison, and both are often the right answer for the same reason: the work does not move.
The failure mode is buying the integration and never using it, because the assistant cannot do the specific job anyway. Test with the task you do daily before rolling it out.
The standalone choices
ChatGPT and Claude remain the general-purpose defaults: broad feature surface, strong writing, and their own agent/tool ecosystems. Grok is a fast follower with a different data posture and a live-web orientation. Le Chat is a European option with a strong price and an increasingly capable model.
For a solo user or a small team with no platform gravity, the decision is usually aesthetic: whichever interface you will actually open. That is not a dismissive answer — a daily driver that stays closed is worse than a slightly weaker one you use.
The local and open options
DeepSeek, Qwen, and open-weight models exist for the cases where data cannot leave the building or cost per token dominates. They are not daily drivers for most people because the interface and ecosystem are thinner, but they are the right answer for a specific constraint.
The trade is always the same: control and cost on one side, polish and integration on the other.
How to decide in a week
Pick two finalists. Run the same five real tasks in both, one of which involves a document you would not want to retype. At the end of the week, notice which one you opened without thinking. That is the answer, and it is more reliable than a benchmark table.
Frequently asked questions
Is it worth using more than one? Yes, as a second opinion on hard questions. No, as a second daily driver — the switching cost is real and the gains are small.
Does the free tier matter? Only until it limits your daily task. Test the limit before upgrading, because quotas differ by a lot in practice.
What about data policies? The decisive question for work: what is retained, for how long, and whether it is used for training. Ask before you paste a customer record. See general assistants.
Last checked: 10 November 2026.
Related: open-weight assistants, what an agent is, and general assistants.
