Claude

Claude is a large language model built by Anthropic with a focus on safety and reliability. In practice, that means it tends to be more careful about following instructions precisely, less likely to hallucinate confident-sounding nonsense, and better at maintaining a consistent voice across long documents.

The free plan gives access to Claude's Sonnet and Haiku models, with web search, file creation, code execution, and memory included. The Pro plan ($20/month, or $17/month billed yearly) adds the Opus model, Claude Code, Research, Projects, and at least five times the free usage per session. Max (from $100/month) multiplies Pro's usage by 5 or 20.

For developers building with the API, the current models are Haiku 5.5 (the fastest and cheapest, from $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100K tokens), Sonnet 5.5 ($2 input / $10 output), Opus 5.5 ($4 input / $20 output), and Fable 5.1 ($10 input / $50 output) for long-running agent work. Most production applications run on Sonnet; the higher tiers are for tasks where quality justifies the cost.

The commercial use cases are direct: legal document drafting where instruction-following consistency is a compliance requirement, code review at scale across large repositories, and customer support automation where hallucination rate has a measurable dollar cost. Anthropic's safety-first development translates into lower hallucination risk in production — which matters more when the output is customer-facing than when you are using it personally.

Claude is not the tool for everything. It cannot generate images. If you need an AI that handles everything in one interface, you will probably end up using Claude alongside something else rather than instead of it. Full plan details are on Claude's pricing page.

Claude's standout technical feature is how much text it can hold at once. Anthropic lists a context window of up to 1M tokens on every plan, with the exact size depending on the model you pick. In most everyday conversations, that does not matter. It matters when you are working with long documents.

In concrete terms, a large window holds full books, long contracts, or an entire codebase in one conversation. That matters most in two scenarios: document question-and-answer tasks where the answer could live anywhere in a hundred-page PDF, and long working sessions where a constraint you set early still has to hold later. For comparison, OpenAI lists 256K tokens for ChatGPT Plus reasoning models and 54K for its faster instant model.

If you paste a 50-page contract, a full codebase, or a long research paper and ask Claude to work with it, the document fits in context and the model can reference any part of it. For legal professionals, researchers, and software engineers working on large projects, this is a genuine advantage. Current model specifications are in Anthropic's model overview.

This is where Claude earns its rating. Ask Claude to write in a specific voice — direct, dry, with short paragraphs — and it holds that voice through a 3,000-word document. Ask ChatGPT the same thing and it tends to drift back toward its default style after a few hundred words.

Claude produces prose that reads more like a human writer and less like an AI completing a prompt. The sentences vary in length. It uses concrete specifics rather than vague generalities. It avoids the filler phrases that make AI-written text easy to spot.

That said, it is not perfect. It can be overly cautious on topics that brush against its safety guidelines, adding disclaimers where none were needed. And for high-volume marketing copy where speed matters more than nuance, the quality gap over ChatGPT may not justify the workflow change.

Claude handles most coding tasks competently. It writes clean code, explains its reasoning clearly, and is good at debugging when you paste in an error message. Its large context window means you can paste an entire file — or several files — without hitting limits.

On specific tasks, Claude performs well: multi-step SQL debugging across joined tables, regex generation with clear explanations of what each part does, and walking through legacy codebases to explain what unfamiliar code does. It is particularly useful when you need someone to reason about code rather than just complete it.

In the chat interface, you are pasting code in and getting answers back — effective for one-off problems, and inefficient for iterative work across multiple files. That is what Claude Code is for: it is included in every paid plan and works directly in your project, reading and editing files across a codebase. It shares the same usage limits as your chats. If you would rather work inside an editor with Tab completion, an AI code editor like Cursor is the alternative.

For learning to code, Claude is patient and good at explaining concepts at different levels. For production work, use Claude Code or an AI code editor rather than the chat window.

Do not pay for Claude Pro if image generation is part of your workflow. It does not have it, and adding a separate image generation tool on top of the $20/month Pro plan gets expensive quickly.

If your primary need is in-depth web research, note that Claude's free plan includes web search but the Research feature, which runs longer multi-source investigations, requires Pro.

And if you are a non-technical user who wants to do one or two things per week, the free plan is almost certainly enough. Do not pay $20/month for a casual use case.