What models does Cursor use?
Cursor uses frontier models from multiple providers: Anthropic's Claude, OpenAI's GPT, Google's Gemini, and xAI's Grok. It also has its own models, Composer for agentic coding and a fast model for autocomplete, plus an Auto mode that automatically picks the best model for each task. You choose the model per request (as of 2026-07).
Why — the first-principles explanation
Cursor deliberately does not build one giant model to do everything. Instead it acts as a router, sending each request to whichever provider's model is best for that job. This is smart because different models have different strengths, and the frontier moves fast, so staying model-agnostic lets Cursor always offer the current best.
The lineup spans the major labs: Anthropic's Claude, OpenAI's GPT, Google's Gemini, and xAI's Grok. These are the "frontier" models, the most capable and most expensive, used for hard reasoning and complex multi-file edits.
Cursor also runs its own models. Composer is trained specifically for agentic coding, planning and editing across files, and there's a fast model that powers Tab autocomplete. Because Cursor owns these, it can offer them cheaply and give paid plans a generous pool of first-party usage separate from the premium budget.
The glue is Auto mode, which lets Cursor pick a model that balances intelligence, cost, and reliability for everyday tasks, so you don't have to think about it. When you do want control, you can override Auto and select a specific model per request, trading more capability for faster budget burn.
An example that makes it click
Think of Cursor like a hospital front desk that routes you to the right specialist. A sore throat goes to a quick general doctor (the fast autocomplete model). A tricky diagnosis goes to a top specialist (Claude, GPT, or Gemini). Routine checkups go to the hospital's own in-house doctors who are always available and cheap (Composer and Auto). You can ask for a specific specialist by name, or just let the front desk pick the best one for your problem, that's Auto mode. Same building, many brains, matched to the task.
How to do it
- Open the model picker in Cursor's chat or agent panel.
- Leave it on Auto to let Cursor choose the best model for routine tasks.
- For hard problems, manually select a frontier model like Claude, GPT, or Gemini.
- Use Composer for fast, cost-efficient agentic coding across files.
- Check the usage impact, premium models drain your dollar budget faster than first-party ones.
Key facts
- Cursor supports frontier models from Anthropic (Claude), OpenAI (GPT), Google (Gemini), and xAI (Grok).
- Cursor's own Composer model is trained for agentic coding tasks.
- A fast first-party model powers Tab autocomplete.
- Auto mode selects a model balancing intelligence, cost, and reliability.
- First-party models (Auto, Composer, Grok) draw from a separate, generous usage pool.
- You can override Auto and pick a specific model per request.
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What AI models does Cursor use? Here's the clever part: Cursor doesn't build one model for everything. It acts like a router, sending each request to the best model for the job. That lineup includes the top models from the major labs: Anthropic's Claude, OpenAI's GPT, Google's Gemini, and xAI's Grok. Those are the frontier models, the most capable and the most expensive, great for hard reasoning and big multi-file edits. But Cursor also runs its own models. Composer is trained specifically for agentic coding, and a fast in-house model powers your autocomplete. Because Cursor owns those, they're cheap and give paid plans a generous separate usage pool. Tying it together is Auto mode, which just picks the best model for everyday tasks so you don't have to think about it. Want control? Override it and choose a specific model per request, just know the premium ones burn your budget faster.
What authoritative sources say
People also ask
Can I choose which model Cursor uses?
Yes. Use the model picker to select a specific model, or leave it on Auto to let Cursor choose.
What is Cursor's Composer model?
It's Cursor's own model trained for agentic coding, planning and editing across multiple files quickly and cheaply.
Which model is best for hard tasks?
Frontier models like Claude, GPT, or Gemini generally handle complex reasoning best, at the cost of faster budget use.
Does the model I pick affect my usage?
Yes. Premium third-party models drain your dollar budget faster; first-party models use a separate, generous pool.