Cursor vs Copilot: which AI coding tool should you pay for?

Is Cursor or GitHub Copilot better?

Neither wins on every job. They are built around different centers. GitHub Copilot describes itself as an AI assistant built into GitHub: it suggests code as you type, answers questions about a codebase, reviews changes and works on tasks you assign it, all inside the flow of issues, pull requests and repositories you already use. Cursor describes itself as a coding agent for building ambitious software, delivered as a desktop app and a command-line tool, with cloud agents that run tasks away from your machine.

So the question is where you want the AI to live. If it should sit inside GitHub and your current editor, Copilot fits. If you want one app built around agents, Cursor fits. Everything below is read from the vendors' own documentation in October 2026, because both companies changed their plans this year.

What changed in Cursor's plans in 2026?

Older articles about Cursor describe Hobby, Pro, Pro+ and Ultra. Those are now called legacy plans. Cursor's models and pricing docs say they keep working for existing customers, and they list the current plans: Free, Plus at USD 8 a month, Premium at USD 30, Super at USD 100 and Ultra at USD 200. Annual billing is available at USD 80 a year for Plus, USD 300 for Premium, USD 1,000 for Super and USD 2,000 for Ultra.

The same page says Cursor is sold as part of The X Subscription, one subscription for Grok, Cursor and X. The reason is ownership. The Next Web reported on June 16, 2026 that SpaceX signed a binding all-stock agreement to buy Anysphere, the company behind Cursor, at a valuation of USD 60 billion, with closing expected in the third quarter of 2026 subject to regulatory approval. You do not need to follow the corporate story to choose a tool, but the plan structure now reflects it.

• Plus (USD 8 a month): agent with Cursor's own models only, namely Grok 4.7, Grok 4.6, Grok 4.5 and Composer 2.5. No third-party models, no cloud agents.
• Premium (USD 30 a month) and above: adds cloud agents and automations, code hosting on Origin, code review with Bugbot, and third-party models such as Claude, GPT and Gemini at the model's API list price, paid from prepaid credit.
• Usage pool: paid plans include a pool of usage for Cursor models that refreshes weekly. Premium has 4x the Plus pool, Super 15x and Ultra 50x.
• Teams: per-seat, at USD 30, 100 or 200 a seat each month, matching the individual tier.

The practical consequence: on Cursor, the model you may want most (a Claude or GPT model) is billed separately from the plan price. Budget for the prepaid credit, not just the subscription. Our Cursor pricing guide tracks the detail.

What do GitHub Copilot's plans cost?

GitHub's plans page lists these individual and team plans as of October 2026. Copilot moved to usage-based billing with GitHub AI Credits, so each paid plan comes with a monthly credit allowance rather than a count of requests.

GitHub also says all plans include the Copilot CLI and the Copilot app, and that the paid plans can run Copilot in the cloud. The model list on the docs page names models from several vendors, including Anthropic, OpenAI, Google and xAI, and which ones you get depends on the plan. Read the plan table before you assume a specific model is on Pro.

How do Cursor and Copilot compare side by side?

The feature lists overlap more than the marketing suggests. Both support rules or instructions files, both connect to MCP servers, and both run agents in the cloud. The differences that remain are the entry price, how models are billed, and where the tool lives.

Which one fits a GitHub-based workflow?

Copilot. GitHub's own description is that a change can start as an issue, be picked up by an agent, return as a pull request, get reviewed for quality and security, and be merged, with you and Copilot working in the same place and with the same context. If your team already tracks work in GitHub, that is a real saving in glue.

Cursor connects to GitHub too, and its docs list integrations for Slack, Jira, Linear, GitLab and others. But on Cursor the center of gravity is the agent window, and the Premium plan adds its own code hosting (Origin) and review (Bugbot). That suits a team that wants the agent to be the front door, and is less natural if GitHub is already the front door.

Which is better for a beginner or a small budget?

Start with the free tiers and spend nothing until a limit stops you. Copilot Free gives 2,000 completions a month and Student is free for verified students. Cursor Free has limited agent and chat requests. Run the same small task in each and see which one you prefer reading.

If you outgrow the free tier, compare the real monthly cost, not the sticker price. Copilot Pro at USD 10 a month covers the plan and its credit allowance. Cursor Plus at USD 8 a month is cheaper but restricts you to its own models, so a developer who wants Claude or GPT effectively starts at Premium plus prepaid credit. For the first month on either, set the spending cap the vendor offers: GitHub has an AI credit limit setting for the CLI and budgets for organizations, and Cursor has a monthly additional usage limit.

If you cannot read code yet, neither tool is the right first step. Browser builders write and host the app for you. The comparison of Claude Code, Cursor and Lovable explains the three working styles.

How do you test both on your own project?

A feature table cannot tell you which tool you will enjoy using. A one-hour test can. Pick a small real task from your own repository, give both tools the identical prompt, and compare the diffs. Good first projects are small utilities: the developer tools category on the board has plenty, and one example is a changelog your users actually read.

Task: add a CSV export button to the invoices page.

Context: read the existing invoices list component and the API route it calls. Follow the conventions already in this repository.

Requirements:
- Export the rows currently shown, respecting the active filter.
- File name: invoices-YYYY-MM-DD.csv.
- No new dependencies.
- Add one test for the CSV builder.

Before editing, list the files you will change and why. After editing, tell me how to run the test and what you did not verify.

1. Start each tool on a clean branch from the same commit.
2. Paste the prompt unchanged. Do not coach either tool.
3. Note how many files each one touched and whether the test passes.
4. Note how much credit or usage the task consumed, using each tool's usage screen.
5. Pick the tool whose diff you would rather review at the end of a long day.

Keep the prompt tight. A narrow task makes the difference between the two tools visible, and it keeps the credit cost of the test small. The guide to writing an app build prompt explains what a good prompt contains.

Can you use Cursor and Copilot together?

They are separate products with separate bills, so nothing stops you from holding both. A common split is Copilot for GitHub-side work (reviews, issue triage, cloud agent tasks) and one agent app for the heavy editing. Doing that costs more than either alone, so give it a month and drop the one you stopped opening.

If you also use a terminal agent, the same logic applies. See Claude Code vs Copilot for that pairing and Cursor vs Windsurf if you are weighing two editors.