GitHub Copilot vs Cursor: you may already be paying for both

The usual framing is Copilot as autocomplete and Cursor as the agent. That was true once. It is now out of date, and in 2026 the two plans have converged on the same billing idea, which makes the overlap the most useful thing to understand before renewing either.

How each one bills now

Copilot. Since June 1, 2026, every plan includes monthly GitHub AI Credits, spent at each model's listed API rate on chat, agent sessions, code review and Copilot CLI. Code completions and next-edit suggestions do not use credits. Pro is $10 a month (1,000 base credits plus a 500 flex allotment), Pro+ $39, Max $100; Business is $19 a seat and Enterprise $39. Copilot Free picks the model for you.

Cursor. Hobby is free with limited agent requests. Pro is $20 a month, Pro+ $60, Ultra $200, Teams $40 a user. Paid plans include monthly usage in two pools: one Cursor calls Cursor Models (its Composer models, plus Grok), which comes with more included usage, and one for third-party models billed at API rates. Past that, you add on-demand usage at the same rates or upgrade. The old 500-fast-requests model is gone.

So both are, at heart, a monthly allowance of model usage at API prices, wrapped in a product. That is the frame for comparing them.

What each one serves

Both carry models from several vendors, and the lists overlap heavily:

This reflects each vendor's published model list in October 2026; which models a given plan includes is up to the vendor. Cursor's list is now the wider of the two. Copilot's distinguishing entries are the GPT-6 line.

The real differences

Cursor is an editor. Copilot is a layer. Cursor is a fork of VS Code with the AI built into the experience -- the diff view, the tab completion, the agent panel. Copilot adds capability to editors you already use, including VS Code, JetBrains, and Neovim. If you have a JetBrains habit you do not want to give up, that decides it.

Cursor's agent is more integrated. Multi-file edits with a review surface designed for them. Copilot's agent has improved substantially but the editor around it was not built for the workflow.

Completions are billed differently. Copilot's completions never touch your credits on a paid plan. In Cursor, agent work on third-party models spends the API-rate pool, while its own models come with more included usage.

Both can talk to your own endpoint, with caveats. VS Code's Copilot Chat accepts your own model provider, including a local Ollama model, for chat but not for completions (using a custom endpoint in Copilot Chat). Cursor accepts a custom OpenAI base URL, but its requests come from Cursor's servers, so localhost is unreachable and a local router needs a tunnel (the fix).

The overlap question

Here is the part that saves money.

If you hold both subscriptions, you are paying for two monthly pools of access to largely the same models. Claude Sonnet and Opus, the GPT-5 line, Gemini Flash and Grok are served by each. The unique capacity you get from the second subscription is narrower than the price suggests.

That does not automatically mean cancel one. It means the question is "what does the second one give me that the first does not", and the honest answers are usually:

• Keeping Cursor: the editor experience, the agent surface, and its own models. That is a product you are buying, not model access.
• Keeping Copilot: the cheapest entry point, completions that never touch your credits, and it works in whichever editor you prefer.

If the answer for either is "model access", you are paying for something you already have.

Reaching Copilot's models outside the editor

The reason Copilot's credits often go unspent is that its backend is not a public API -- access takes a GitHub device login exchanged for a short-lived token, plus editor headers, so tools cannot point at it directly. Bridging that turns a plan you already hold into a general backend:

npm install -g @sifxprime/krouter
krouter -t

Connect GitHub Copilot on the dashboard's Providers page (kRouter shows a risk notice first, because the login is not licensed for router use), then any OpenAI-compatible client reaches the models your plan enables:

export OPENAI_BASE_URL=http://localhost:20128/v1
export OPENAI_API_KEY=<your-krouter-key>
# model: gh/claude-sonnet-4.6

Every request spends Copilot credits at that model's rate, so this is a way to use credits you would otherwise leave on the table, not free capacity. It is still worth trying before adding a second subscription, because it frequently removes the reason for one.

Choosing

Common questions

Does GitHub Copilot include Claude?

Yes, as credits. Paid plans include monthly AI Credits that Claude Haiku 4.5, Sonnet 4.6 to 5.5 and Opus 4.8 to 5.5 draw on at their API rates, alongside the GPT and Gemini Flash lines. Which models you get depends on the plan.

Is Cursor worth it if I already have Copilot?

If you want the editor and the agent surface, yes -- that is a genuine product. If you want model access, the overlap is large and you may be buying something you already have.

Can I use Copilot models in Cursor?

Not directly. Through a router, yes: connect Copilot to kRouter, expose kRouter through its tunnel, and add a gh/ model as a custom model in Cursor, which kRouter's Cursor guide says needs Cursor Pro. Those requests spend Copilot credits.

Which has better autocomplete?

That is a matter of taste on your own code; try both. The billing difference is concrete: Copilot's completions never use credits on a paid plan.

Can I use a local model with either?

In VS Code's Copilot Chat, yes, for chat: it accepts a local Ollama model, while completions stay on GitHub's models. Cursor routes through its own servers, so a local model needs a publicly reachable URL, such as kRouter's tunnel. An open-source extension like Cline is the simplest path if a local model matters.

Related

• Using your Copilot subscription as a model backend
• The true cost of Cursor Pro
• Cline vs Cursor
• Best AI coding assistant in 2026: how to choose