If you have to choose a single tool today, Claude Code is the one that finishes the most real work without constant supervision. But the right choice depends on where you spend your day: in the terminal, inside the editor, or reviewing pull requests. This comparison takes a stance in each case.
The prices and capabilities in this note were verified on September 9, 2026 on each manufacturer’s official pages. This is a market that moves every month: if you’re reading this much later, confirm the numbers before you pay.
What’s the best AI for coding? The short answer
Four tools divide the serious work today: Claude Code, Cursor, Codex, and GitHub Copilot. They don’t do the same thing, and that’s why almost every comparison ends in a cowardly tie.
Our position, without beating around the bush:
- Claude Code if you work in the terminal and want to delegate complete tasks — refactors that touch twenty files, migrations, test suites that don’t exist yet.
- Cursor if you want to keep editing code by hand and have the AI live inside the editor, with the diff in view.
- Codex if your team already pays for ChatGPT and you want the agent without adding another subscription.
- GitHub Copilot if what you need is permanent autocompletion and review within the pull request workflow you already use.
| Where it lives | Dominant mode | Paid entry | Free plan | |
|---|---|---|---|---|
| Claude Code | Terminal, VS Code, JetBrains, desktop app, web | Autonomous agent | Pro, $20/month | Claude Code not included |
| Cursor | Own editor (VS Code fork) | Assisted editing + agent | Individual, $20/month | Hobby, with agent limits |
| Codex | CLI, IDE extension, web, app | Autonomous agent | ChatGPT Go, $8/month | Basic capabilities |
| GitHub Copilot | VS Code, JetBrains, GitHub | Autocompletion + agent | Pro, $10/month | 2,000 completions and 50 chats/month |
All four have an agent. The real difference isn’t there: it’s in how much work you hand over at once and how much you watch while it does it.
What is Claude Code and who is it for?
Claude Code is Anthropic’s programming agent. Its official documentation describes it as a tool that “reads your codebase, edits files, runs commands, and integrates with your development tools”, and it runs in terminal, IDE, desktop application, and browser.
It installs in one line. On macOS, Linux, or WSL:
curl -fsSL https://claude.ai/install.sh | bash
On Windows PowerShell:
irm https://claude.ai/install.ps1 | iex
It’s also on Homebrew (brew install --cask claude-code) and WinGet (winget install Anthropic.ClaudeCode). After that, you enter a project and type claude.
What sets it apart from the rest is the size of the unit of work. You describe a task to it in natural language, and it plans, writes code across multiple files, and verifies it works. It integrates directly with git: stages changes, writes commit messages, creates branches, and opens pull requests. And it’s composable Unix-style — you can pipe another command’s output to it:
tail -200 app.log | claude -p "Slack me if you see any anomalies"
That detail explains why it ends up in CI pipelines and scheduled tasks, not just interactive sessions.
The entry price is Claude Pro, $20 a month ($17/month with annual billing). The Free plan does not include Claude Code, and it’s worth knowing before you try to test it free. Above that is Max, starting at $100/month, which Anthropic describes as “5x or 20x more usage than Pro”.
Who it’s for: someone who lives in the terminal and is willing to delegate an entire task and review the result, not every line. If that makes you uncomfortable, it’s not your tool.
If you want the full setup walkthrough, we cover it in our guide to setting up Claude Code from scratch.
What is Cursor and how does it differ from Claude Code?
Cursor is a complete editor — a VS Code fork — with AI integrated into the act of writing itself. The difference with Claude Code isn’t about power, it’s about posture: in Cursor you’re still the one steering the file, and the model works at your side with the diff visible. In Claude Code you hand over the wheel for several minutes.
The Hobby plan is free, with limits on agent requests and Composer access. The Individual plan costs $20/month and includes expanded agent limits, access to frontier models, MCPs, skills, hooks, and cloud agents. The pricing page also mentions Pro, Pro+, and Ultra levels within the individual plan, but as of September 9, 2026, it doesn’t publish a separate price for each one — if you care about the top tier, you’ll have to check it inside the product.
Who it’s for: someone who doesn’t want to leave the editor. If your work is mostly reading other people’s code and making surgical edits, having the context in view is worth more than autonomy.
We already compared the jump from the base editor in Cursor vs VS Code.
What is Codex and is it worth it if you already pay for ChatGPT?
Codex is, in OpenAI’s words, “OpenAI’s programming agent for software development”. It runs on CLI, IDE extension, web, and desktop application, and integrates with GitHub, Slack, and Linear.
CLI installation on macOS and Linux:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Then you run codex and authenticate with your ChatGPT account or an API key.
Here’s the economic argument that makes it interesting: Codex comes included in the ChatGPT plans you probably already pay for. The Go plan costs $8/month and gives access to Codex for light tasks. Plus, $20/month, enables it on web, CLI, IDE extension, and iOS, with the GPT-5.6 model family (Sol, Terra, Luna). Pro, starting at $100/month, offers “5x or 20x more Codex usage than Plus” and access to GPT-5.3-Codex-Spark, still in research preview.
OpenAI publishes usage estimates rather than fixed quotas: on Plus, between 10 and 2,000 local messages per five-hour period, depending on the model. That’s a huge range, and it’s a figure from the manufacturer itself, not an independent measurement. Take it as an order of magnitude.
And if credits, messages, and usage limits seem opaque to you — they are across all four tools, and deliberately — it’s worth understanding the unit underneath all of them: what tokens are in AI and why they charge you for them.
Who it’s for: teams that already have ChatGPT deployed. Adding $8 or $20 per person to an existing subscription is a much shorter conversation with finance than introducing a new vendor.
We already looked at the uncomfortable fact for Anthropic here: why Codex CLI appears in more repositories than Claude Code.
Does GitHub Copilot still make sense in 2026?
Yes, but for a different reason than in 2023. Copilot stopped being just autocompletion a long time ago, and its advantage today is position: it lives where your code already is.
Individual plans, as of September 9, 2026:
- Free, $0: 2,000 completions per month and 50 chat requests, with access to Haiku 4.5, GPT-5 mini, and some other options.
- Pro, $10/month: unlimited autocompletion and next edit suggestions, plus $15 monthly in credits.
- Pro+, $39/month: “4x+ more included usage than Pro”, $70 in credits and premium models, including Opus.
- Max, $100/month: “2.9x+ more included usage than Pro+”, $200 in credits, and early access to new models.Autocomplete is unlimited in all paid plans. What is measured are premium requests.
For whom: for large teams on GitHub where code review and issue triage matter as much as writing. And for anyone who wants the cheapest pricing model in the group: $10 is the lowest entry point to a serious product.
We covered that identity shift in GitHub Copilot No Longer Wants to Be a Copilot.
Is There Any Free AI for Programming Worth Using?
Yes, one: GitHub Copilot Free. It’s the only free plan in the group with published and usable figures — 2,000 completions and 50 chat requests per month. For a student or someone coding at night, it’s enough.
The other three have nuances worth knowing before wasting an afternoon:
- Claude: the Free plan exists, but doesn’t include Claude Code. There’s no free way to try the agent.
- Cursor: the Hobby plan is free and doesn’t require a card, but agent requests are limited. It’s good for evaluation, not for work.
- Codex: ChatGPT’s free plan gives “basic Codex capabilities for quick programming tasks”. It’s a demo, not a work environment.
Honest conclusion: you can evaluate for free, and with Copilot Free you can even be productive. For sustained agentic work, the real market floor is between $8 and $20 per month.
Which One Is Best for Team Work?
Here the order changes, because capabilities stop mattering and billing and controls start mattering.
Codex is the cheapest to scale: the Business plan costs $20 USD per user per month with annual billing, from two users onward, and includes SAML SSO, MFA, and workspace controls.
Claude for Teams starts at $25 USD per seat per month ($20 USD annually), with a Premium seat at $125 USD per month ($100 USD annually) that Anthropic describes as “5x more usage than standard seats”. Claude Code is included in both.
Cursor Teams costs $40 USD per user per month and includes what no other offers at that tier: an internal marketplace of team rules, skills and plugins, shared context between agents in the cloud, code reviews with Bugbot, usage analytics, and SAML/OIDC SSO.
Copilot doesn’t publish Business and Enterprise prices on its individual plans page, but it faces the least friction in organizations already living on GitHub.
If the criterion is administrative control, Cursor Teams is the most complete package. If the criterion is cost per head, Codex Business wins by a lot.
What Would I Choose?
Claude Code, and the reason fits in one sentence: it’s the only one of the four where I can describe a thirty-minute task, leave, and come back to something that compiles.
That’s not a judgment on model quality — all four vendors use frontier models and none publish credible independent comparisons between them. It’s a judgment on the unit of work. Claude Code is built assuming you’re going to hand it complete tasks; the others assume you’re watching. When that assumption matches how you work, the productivity difference is large. When it doesn’t, it’s an awkward and expensive tool.
So here are the honest recommendations:
- If your day is reading and editing other people’s code with precision: Cursor.
- If your organization already pays for ChatGPT and needs a frictionless decision: Codex.
- If your bottleneck is reviewing pull requests, not writing them: Copilot.
- If you want to delegate whole tasks and review results: Claude Code.
And a warning worth more than all four recommendations combined: fewer and fewer teams use just one. We wrote about that in The Age of the Multiple Stack and in the war of AI IDEs in 2026. Paying for two $20 subscriptions to cover two different work modes is, for most professional teams, the right decision — and the one almost no comparison dares to recommend.
Sources
Prices and capabilities verified on September 9, 2026:
- Claude — plans and pricing: https://claude.com/pricing
- Claude Code — official documentation: Overview - Claude Code Docs
- Cursor — pricing: Cursor · Precios
- GitHub Copilot — plans: GitHub Copilot · Plans & pricing · GitHub
- Codex — documentation: ChatGPT | ChatGPT Learn
- Codex CLI — installation: Codex CLI | ChatGPT Learn
- ChatGPT — pricing and limits: Pricing | ChatGPT Learn
