Choosing the right AI tool

ChatGPT, Claude, Gemini, Copilot, Perplexity, Grok — they all look similar. They aren't. Knowing which to pick when is the difference between fast answers and frustration.

What each tool is best at (mid-2026)

This landscape moves fast. Use this as a starting framework, and re-evaluate every six months.

ChatGPT (OpenAI)

Best for: general-purpose chat, image generation built in (DALL-E), data analysis (uploading CSVs), the broadest plugin/GPT ecosystem, voice mode. Less good at: very long documents (smaller default context), writing in a specific consistent style. Who should pick it: the broad default. If you don't know what to start with, this is a fine choice.

Claude (Anthropic)

Best for: long documents (200k+ token context), nuanced writing, careful reasoning, code review, "Projects" for organising work, refusal calibration (less false refusal and less harmful output). Less good at: image generation built in (none), some real-time data tasks. Who should pick it: writers, coders, researchers, anyone working with long text.

Gemini (Google)

Best for: Google Workspace integration (Docs, Gmail, Sheets), real-time web information via Google Search, very long context (up to 2M tokens on Pro), multimodal video understanding. Less good at: consistent reasoning quality (variable across sub-models). Who should pick it: heavy Google Workspace users, people who want fresh search-grounded answers.

Microsoft Copilot

Best for: Microsoft 365 integration (Outlook, Teams, Word, Excel), enterprise tenant isolation, GitHub Copilot for inline code in IDEs. Less good at: general consumer chat (often a thin wrapper over GPT under the hood). Who should pick it: people inside the Microsoft ecosystem at work.

Perplexity

Best for: answers that cite their sources. Acts like a search engine that summarises with citations, instead of a chatbot. Less good at: open-ended creative tasks. Who should pick it: when you need a fact-grounded answer and want to verify the source.

GitHub Copilot

Best for: inline code completion inside your editor (VS Code, JetBrains, etc.). Less good at: open-ended code architecture or non-code tasks. Who should pick it: developers who want autocomplete on steroids.

Cursor / Claude Code / Cline

Best for: AI-driven coding workflows — multi-file edits, running tests, iterating on a project. Less good at: quick one-off chat. Who should pick it: developers building software, not just writing snippets.

Grok (xAI)

Best for: real-time access to X/Twitter posts, less filtered humour. Less good at: consistent factual accuracy on technical topics. Who should pick it: if you specifically need X integration.

Real-world examples

What's similar across all of them

Don't agonise. The free tiers of all major chatbots are more than capable for most everyday questions. The differences become real when:

• You need a specific feature (citations, image generation, long context, integration with another product).
• You're sending many requests / writing extensively (where one's quality consistently wins).
• You have a privacy / compliance requirement that only one product satisfies.

For most people on most days, the right answer is "the one I'm already paying for and already have a tab open to."

Try it yourself (no coding, ~10 minutes)

Run a quick three-way test:

1. Pick a task you actually need help with — e.g. "Help me write a polite but firm email asking for an overdue invoice".
2. Send the same prompt to Claude.ai, ChatGPT, and Gemini (all have free tiers).
3. Notice the differences: tone, length, structure, willingness to suggest specific phrases.
4. Pick a winner for this kind of task.

You'll quickly form intuitions for which tool you reach for when. Most people end up using 2–3 in rotation.

Further reading

• LMSYS Chatbot Arena — public Elo-style ranking based on millions of pairwise human votes. Updated continuously.
• Artificial Analysis — model comparisons — independent cost/latency/quality benchmarks across providers.
• Simon Willison's blog — the most thoughtful running coverage of new model releases and what they're actually good at.
• Ethan Mollick — One Useful Thing — practical, accessible commentary on how AI tools change everyday work.