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Both are on this list because they are genuinely good at something. The question is which something you need. Below is the factual comparison, then the honest answer about who each one is for.
Reviewed July 25, 2026 · pricing changes often, check the vendor
| Cursor | GitHub Copilot | |
|---|---|---|
| Made by | Anysphere | GitHub / Microsoft |
| Where it runs | Editor | IDE plugin |
| Models | Multiple providers — Anthropic, OpenAI, Google and others, selectable | Multiple — OpenAI, Anthropic and Google models depending on plan |
| Pricing | Free tier · Pro $20/mo · higher tiers for heavy use | Free tier · Pro from $10/mo · Business & Enterprise seats |
| Open source | No | No |
| Best for | Developers who want AI woven into the editing loop itself rather than sitting in a separate window. | Organisations already on GitHub that need central policy control more than they need the sharpest agent. |
The inline prediction is the strongest reason to use it — it is a different experience from chat
Model choice per task rather than being locked to one vendor
Rules files keep project conventions in front of the model without re-pasting
You are adopting an editor, not adding a feature to the one you have
Usage accounting across tiers and models is genuinely confusing
Agent mode over large refactors still needs close supervision
Available almost everywhere you already work, including code review on github.com
Enterprise controls — policy, audit, data handling — are the most mature in this list
The issue-to-PR coding agent fits existing GitHub workflows without new process
Deepest value is tied to GitHub; less compelling if your code lives elsewhere
Agent capability has historically trailed the specialist tools
Feature availability varies by plan and IDE in ways that are hard to track
Pick Cursor if developers who want AI woven into the editing loop itself rather than sitting in a separate window.
Pick GitHub Copilot if organisations already on GitHub that need central policy control more than they need the sharpest agent.
And a thing worth saying plainly: the gap between these two is smaller than the gap between a repo that tells an agent what it is and one that does not. If you are choosing between them to fix inconsistent output, the tool is probably not the variable. The free Foundations track covers the part that is.