Sign in
← The Export

Which AI Should You Use? A Plain-English Guide to Picking the Right One

Seven big AI assistants, seven different personalities, and a lot of bad comparison charts. Here is the honest version: which tool fits which job, which ones can really use the live web, when a pasted URL is not the same thing as reading a page, and why token pricing is easy to misrepresent.

There is no “best” AI — only the best one for the task

The most common question people ask is “which AI is the best?” It is the wrong question. Asking which assistant is best is like asking which vehicle is best: a pickup truck and a sports car are both useful, but the right choice depends on whether you are hauling lumber or chasing a winding road.

The same is true here. Some assistants are better for writing. Some are better for coding. Some are better inside Gmail, Word, Excel, or Windows. Some are built around searching the live web. Pick by the job, not by the logo.

Plain truth: an AI model is not automatically looking at the internet. A chatbot may have a search tool, a web-fetch tool, or neither. If it does not clearly search, cite, quote, or fetch the page, assume it is answering from memory and from what you pasted into the chat.

The seven names worth knowing

ChatGPT (OpenAI). The broad all-rounder. Good for writing, coding, explaining, brainstorming, image work, and general problem solving. It can search the web in ChatGPT when search is used, but that does not mean it automatically read every URL mentioned in a prompt.

Claude (Anthropic). Strong for careful writing, coding, long documents, and structured reasoning. Claude has web search and web-fetch capabilities in supported products/API setups, but access depends on the product, plan, settings, and tool availability. Without those tools, Claude is not reading the live web.

Gemini (Google). Strong fit for people already living inside Google Search, Gmail, Docs, Drive, Android, and other Google products. Gemini can be grounded with Google Search, but you should still look for citations or source links before treating an answer as current.

Copilot (Microsoft). Best when your work happens inside Windows, Edge, Word, Excel, Outlook, Teams, or Microsoft 365. Copilot can use Bing/web search when enabled, and Microsoft says Copilot can generate a query and send it to Bing to improve an answer. That is different from magically reading every webpage you mention.

Perplexity. The most search-native tool on this list. It is built as an answer engine that searches, summarizes, and cites sources. It is often the cleanest choice for “what is true right now?” questions, but even Perplexity sources should be checked for accuracy and quality.

Grok (xAI). Best known for access to X/Twitter conversation and real-time web/X search in Grok products. It is useful for the live pulse of the internet, especially what people are saying on X, but it should not be treated as a final source of record.

DeepSeek. The cost-conscious technical option. DeepSeek’s chat and API can be very cheap compared with many competitors, and the models can be strong for coding and reasoning. But the core DeepSeek API is not automatically a live-web search engine. If you need current facts, pair it with search/RAG or use a product interface that explicitly provides web search.

The part most AI charts get wrong: URLs and live web access

A model’s training data is not the same thing as the internet. Training gives the model a memory of patterns up to a cutoff. Web search gives it a way to look up new information. Web fetch gives it a way to retrieve a specific page or PDF. Those are separate things.

This matters because people paste a URL into a chatbot and assume the AI has read the page. Sometimes it has. Sometimes it has not. Sometimes the assistant only sees the URL text and guesses from the slug. The honest rule is simple: if the answer depends on a webpage, ask the tool to open/search that page, require citations, or paste the actual page text yourself.

ChatGPT OpenAI
Live web search: Yes — but only when you explicitly use the search/browsing feature.
Can read a URL you paste: Sometimes — it depends on the product version and whether the tool is enabled.
⚠️ Do not assume it read a URL just because you typed it. Ask it to open the page, or paste the text yourself.
Claude Anthropic
Live web search: Yes — where the web search tool is available (not in every chat by default).
Can read a URL you paste: Sometimes — only if the web fetch tool is enabled in that session.
⚠️ Claude is not automatically reading arbitrary URLs. Tool availability and settings matter.
Gemini Google
Live web search: Yes — through Google Search grounding, but it's not always turned on.
Can read a URL you paste: Depends — on the specific Gemini product and mode you're using.
⚠️ Google integration helps, but always check if the answer is actually cited and sourced.
Copilot Microsoft
Live web search: Yes — through Bing search when it's enabled in your Copilot surface.
Can read a URL you paste: Depends — it may generate a search query instead of reading the page directly.
⚠️ Sending a search query to Bing is not the same as reading the URL you pasted. Check what it actually did.
Perplexity Answer Engine
Live web search: Yes — this is its primary function; it searches and summarizes.
Can read a URL you paste: Usually — it will try to fetch and cite the page.
⚠️ Best default for sourced web research, but even Perplexity citations can be incomplete or wrong. Double-check.
Grok xAI
Live web search: Yes — real-time web and X/Twitter search are part of the Grok experience.
Can read a URL you paste: Depends — on the product and how you prompt it.
⚠️ Great for the pulse of X and current chatter, but verify important claims against primary sources.
DeepSeek DeepSeek
Live web search: Not by default — the core API and chat model do not search the web automatically.
Can read a URL you paste: Only if you connect it to a search tool or a product that adds that ability.
⚠️ Excellent for low-cost coding and reasoning. But do not use it for current-news or live-fact questions unless you've explicitly enabled web search.

This is the part to keep honest: “can search the web” and “has actually read this URL” are not the same claim.

What’s a token, and do you actually need to care?

AI services do not bill their raw developer APIs by “pages” or “questions.” They count tokens, which are chunks of text. A token can be a character, a short word, a piece of a long word, or punctuation depending on the tokenizer. Your prompt counts. The answer counts. Tools, documents, code, images, and web-search results can add more tokens too.

Regular users on a flat monthly plan usually do not see token billing directly. Developers do. Token pricing matters when you build an app, run large batches, analyze long documents, or connect an AI model to search, files, tools, or agents.

The quick comparison — in plain English

ChatGPT
Best for: General writing, coding, brainstorming, and images.
🌐 Live web search: Yes (optional)💰 ~$20/mo for Plus💻 Coding: Excellent
Claude
Best for: Careful writing, long documents, structured reasoning, and code.
🌐 Live web search: Yes (where available)💰 ~$20/mo for Pro💻 Coding: Excellent
Gemini
Best for: Google apps (Gmail, Docs, Drive), search grounding, and multimodal work.
🌐 Live web search: Yes (via Google Search)💰 Varies by plan💻 Coding: Strong
Copilot
Best for: Microsoft 365, Windows, Edge, Word, Excel, Outlook.
🌐 Live web search: Yes (via Bing)💰 Free / Microsoft 365 plans💻 Coding: Strong
Perplexity
Best for: Research with citations and source links — it's built for this.
🌐 Live web search: Yes (native, always on)💰 ~$20/mo for Pro💻 Coding: Good
Grok
Best for: Real-time X/Twitter pulse, web chatter, and a blunt style.
🌐 Live web search: Yes (web + X search)💰 Free / X-bundled plans💻 Coding: Strong
DeepSeek
Best for: Low-cost coding, reasoning, and developer API use.
🌐 Live web search: No (not by default)💰 Very low API pricing💻 Coding: Strong

Snapshot as of June 2026. Prices, plans, and features change often — always check the official site before you commit.

When the bill is measured in tokens instead of months

The old version of this article made token costs look more exact than they really are. That is misleading. A fair token-cost comparison has to specify the exact model, input/output split, caching, tools, web-search calls, reasoning tokens, and whether you are using the consumer app or developer API.

The honest comparison is not “one million tokens costs X.” The honest comparison is: API prices are metered and can be cheap or expensive depending on the model and tools; consumer subscriptions hide that meter behind usage limits.

DeepSeek API
The official API pricing is very low compared to many other frontier models.
⚠️ Cheap tokens do not include live web search. If you need current facts, you'll have to add your own search or use a product that offers it.
Perplexity Sonar API
Built for search-backed answers; pricing includes input/output tokens and search/citation costs.
⚠️ Don't compare it to a plain chat model without accounting for the search and citation features.
OpenAI API
Tokens are metered per model, and web search is a separate tool with its own pricing.
⚠️ ChatGPT Plus is not the same as the API. The app and API have different billing and features.
Claude API
Tokens are billed by model; web search and fetch tools add their own usage.
⚠️ Claude Pro's monthly price does not predict API costs for heavy coding or agent workflows.
Gemini API
Tokens are billed by model; Google Search grounding may have separate limits or charges.
⚠️ The consumer Gemini plan is not the same as developer API pricing.
xAI / Grok API
Grok models have per-token API pricing; the consumer Grok app includes real-time web + X search.
⚠️ Not every Grok API call includes the same live-search behavior as the consumer app. Check your endpoint.

If you are a normal user, start with the app. If you are a developer, price the exact model and workflow you plan to run.

The bottom line: use ChatGPT or Claude for broad writing and code, Gemini if you live in Google, Copilot if you live in Microsoft, Perplexity when you need sourced web research, Grok for the live pulse of X and web chatter, and DeepSeek when low-cost coding/reasoning matters more than built-in live search.

So which should you pick?

If you want one assistant and a simple bill, start with the free tier of ChatGPT, Claude, or Gemini and upgrade only after you know which one you actually use. If your work is mostly research and freshness, try Perplexity first. If your work lives in Office, Copilot makes sense. If your work lives in Gmail, Docs, Drive, and Search, Gemini makes sense. If you want cheap API horsepower, DeepSeek deserves a look.

But do not let any AI comparison chart tell you all these tools “see the web” in the same way. They do not. Search, browsing, URL fetching, citations, app integrations, and model memory are separate capabilities. The safest habit is simple: for current facts, ask for sources; for a specific page, provide the URL and ask the tool to open it; for anything important, verify the primary source yourself.

Sources used for this update

See our free AI tools →