Best AI Available to the Public: Choose by Work Task

The best AI available to the public is not a single tool — it is whichever combination of tools best matches your work tasks. ChatGPT, Claude, Gemini, Perplexity and Microsoft Copilot are all publicly available with capable free tiers, and each has a different area of strength.

The more useful question is "best for what?" A single benchmark ranking does not answer that. A tool like fenbs keeps the same project brief available when you move between AI tools, so your evaluation criteria and project context stay consistent across sessions and models.

What does "publicly available" mean for AI?

A publicly available AI tool is one anyone can sign up for and use without institutional access, a waitlist or an enterprise contract. All major AI assistants now meet this standard: ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot and Meta AI can all be accessed by any adult with an internet connection.

Some capabilities within these tools require a paid plan — extended context, image generation, advanced reasoning modes, web browsing. The free tiers are still capable for a wide range of tasks. This guide covers what is accessible without a paid subscription unless otherwise noted.

How do the main publicly available AI tools compare?

Free tier features change with each provider update. Verify current limits on each vendor's pricing page before relying on any specific capability at no cost.

Which is best for writing?

For general writing and editing, Claude and ChatGPT are the most widely used. Claude tends to follow detailed style instructions more consistently over a long piece. ChatGPT is strong on drafting speed and offers more customizable tools (custom GPTs, though these retire December 11, 2026) for specialized writing tasks.

For the best results on any writing task, give the tool a clear style reference. Paste in an example of the tone and length you want, not just a description of it. Both Claude and ChatGPT will produce much better output with a concrete example than with instructions like "write in a professional tone."

Which is best for research?

Perplexity is purpose-built for research and includes web search with citations at every tier. ChatGPT and Gemini also search the web on paid plans, but Perplexity's interface is optimized for following a chain of cited sources.

For academic research, always verify that cited sources exist and say what the tool claims. AI tools can fabricate plausible-looking citations. Copy the reference into a search engine and confirm it before including it in a document someone else will read.

Which is best for coding?

GitHub Copilot is purpose-built for coding, with inline suggestions in the editor and a cloud agent for autonomous tasks. Claude is widely used for longer coding sessions, code review and following detailed coding conventions. ChatGPT's paid plans include a code execution environment.

For coding tasks, the model you use matters less than the context you give it. A model with a clear description of the codebase structure, the conventions in use and the specific task will outperform a nominally stronger model given a vague prompt.

Which is best for data analysis?

ChatGPT's Advanced Data Analysis feature (paid plan) runs Python in a sandbox and generates charts from uploaded data. Gemini integrates with Google Sheets. For quick numerical questions and data formatting, any capable model handles these on the free tier.

For sensitive data, check each tool's privacy policy before uploading. Some enterprise plans offer stricter data handling than consumer tiers. If the data cannot leave your organization, a locally run model is worth considering.

How do you choose without a benchmark?

The fastest method is a fifteen-minute real-task test. Pick a task you do regularly — a specific kind of email, a research question, a code problem. Run the identical prompt in three tools and compare the output. Grade each response on accuracy, format and whether you would actually use it.

Record what you find. The tool that produced the best output on your task today is the right starting point. If a new model release improves a competitor significantly, run the same task again. Keeping those results in a structured record makes re-evaluation faster each time.

How to do this with fenbs

1. Create a free account and add a project for your AI tool evaluation.
2. In Decisions and rules, record which tool you use for which task and the reasons. These stay visible to any connected assistant at session start.
3. After each significant session or trial, add a task note with what you tested and how it performed. Add a lesson if you discovered something that should change how you work.
4. When a major model update releases, revisit the tasks you tested before. The criteria and past results are already in the record.
5. Connect supported assistants from Integrations. Each reads the shared context — your criteria, past lessons and current tasks — before starting.

When the free tier is enough

For everyday writing, research and Q&A, the free tiers of ChatGPT, Claude and Gemini are all capable. Paid tiers add longer context, more powerful model versions, image generation and tool integrations. If you hit rate limits on the free tier or need a specific feature, that is the signal to consider a paid plan — not a general expectation that paid is always better.