Cursor vs JetBrains AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionCursorJetBrains AI
PricingFree tier; paid from $20/mo (individual), $40/user/mo (teams)Paid subscription (no free tier)
DeploymentCloud agents in sandboxed VMs; also desktop/CLILocal IDE integration; offline-capable with local model
Key FeatureAutonomous, parallel multi-agent executionDeep IDE integration with project-wide context
Model ChoiceMultiple models (Grok, GPT, Opus, Gemini, etc.) + BYOMLocal Mellum2 or other provider options
CollaborationSlack, GitHub, Microsoft Teams, Jira, Linear, NotionBuilt into JetBrains IDEs only

If you want an agent that can autonomously plan, build, test, and ship features—even from scratch in a cloud VM—and you collaborate via Slack or GitHub, Cursor is the obvious pick despite the higher team cost. But if you live in IntelliJ or PyCharm and want AI that respects your codebase's patterns without leaving your IDE, JetBrains AI delivers that depth natively, including offline capability—just be ready to pay and skip the free tier.

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Cursor
Cursor

Cursor is the agentic coding IDE that plans, builds, tests and ships software across desktop, CLI, Slack, mobile and cloud agents.

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JetBrains AI
JetBrains AI

JetBrains AI puts agent-driven coding assistance, multi-agent choice, and enterprise governance inside the JetBrains IDE family

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Pricing
Freemium
Paid
Plans
$0/mo
$20/mo
$40/user/mo
Custom
$249/year
Popularity
3.1k views
4.7k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
DesktopCLIWebMobile
Desktop
Categories
🛠️ Autonomous Coding Agents💻 Code & Development🔎 Code Review & Quality
💻 Code & Development
Features
Agentic coding IDE with Composer for multi-file task execution
Cmd+K targeted edits alongside full autonomous agent mode
Cloud agents that build, test, and demo features on their own machines
Cloud agents that start from scratch without a connected repository
Self-hosted machines run tool execution inside your own network
Dynamic pool scheduling across AWS Lambda, Coder, Cloudflare, Daytona, Modal, Vercel and E2B
Cursor Projects: coordinator agent delegating to parallel subagents over months
Shared project context files synced across cloud and local machines
Automations schedule always-on agents on Slack or recurring triggers
Rollouts: PR change monitoring with per-environment health verdicts
Bugbot agentic code reviews on pull requests
Security Review for AI-assisted codebase auditing
CLI agent installable via curl https://cursor.com/install -fsS | bash
Mobile app for iOS and iPad to hand off and track agent tasks
Model router with Auto selection across Grok, GPT-5.6, Opus 5.5, Gemini and Composer
Inline code completion using JetBrains' own fine-tuned coding models
Next edit suggestion across files in your project
Junie, JetBrains' own multi-step coding agent
Integrated third-party agents: OpenAI Codex, Claude Agent, Gemini CLI
Connection of 25+ ACP-compatible external agents, including Cursor and GitHub Copilot
Bring your own key (BYOK) for OpenAI, Google, Anthropic and xAI models
Local model support via Ollama and LM Studio
JetBrains Air agentic development environment for multi-agent orchestration
JetBrains Central for enterprise governance and execution
Deployment across cloud, on-premises or isolated environments
Centralized visibility and control over model and agent usage across teams
AI assistance spanning coding, version control, database tasks, testing and CI/CD
Completion and next-edit suggestions across Java, Kotlin, Python, JavaScript and more
JetBrains states your code, prompts and company data remain entirely yours
Integrations
Slack
Microsoft Teams
Jira
Linear
Notion
GitHub
GitLab
Azure DevOps
Bitbucket
JetBrains
Xcode
Datadog
AWS Lambda
Cloudflare
Vercel
GitHub Copilot
Cursor
Ollama
LM Studio
OpenAI Codex
Claude Agent
Gemini CLI

Feature-by-feature

Cursor is built for autonomous delegation: cloud agents run in parallel VMs, can start with a bare prompt (no repo), and give live browser previews via port-forwarding. Automations schedule always-on agents for CI fixes, and /goal keeps them on long-term tasks. Slack integration lets agents plan before acting and review PRs; GitHub integration covers reviews and merging. You can bring your own model or pick from a menu. JetBrains AI is IDE-native: it completes code with project-wide context, generates functions, refactors, detects errors, and writes commit messages and tests. Its standout is offline AI via the local Mellum2 model, plus multi-agent orchestration via JetBrains Air. JetBrains AI integrates only into JetBrains IDEs, while Cursor also works as a CLI and via Slack. Cursor's recent news includes launching Origin (a GitHub alternative) and agent improvements; JetBrains AI just shared a token-saving tip. If you need autonomous, cross-platform orchestration, Cursor leads; if you want deep, contextual assistance inside your existing JetBrains workflow—especially offline—JetBrains AI is the fit.

Pricing compared

Cursor offers a freemium model—free tier available, individual paid plans from $20/month, teams at $40/user/month. JetBrains AI is paid-only, with no free tier. For individuals, Cursor's $20 entry is comparable to many AI assistants, but JetBrains AI's pricing (exact numbers not stated) is a subscription bundled with your IDE. Teams will find Cursor more expensive per user, but that includes cloud agent compute and collaboration features like Slack and GitHub. JetBrains AI's local model might reduce API costs, and recent news about 'caveman' prompts cutting token usage by 65% could lower your burn. If you need to watch costs, Cursor's free tier is appealing, but if you already pay for JetBrains IDEs, the incremental AI cost might be easier to justify.

Who should pick which

  • Autonomous feature builder
    Pick: Cursor

    Cursor's cloud agents work from a prompt, build in a VM, and show a live preview—exactly what you need to delegate a feature end-to-end.

  • JetBrains loyalist
    Pick: JetBrains AI

    If you live in IntelliJ or PyCharm, JetBrains AI's deep integration gives you project-wide completions and refactoring without switching tools.

  • Offline/air-gapped developer
    Pick: JetBrains AI

    JetBrains AI's offline capability with the local Mellum2 model works without internet, unlike Cursor's cloud-dependent agents.

Frequently Asked Questions

Cursor vs JetBrains AI: which should you choose?

If you want an agent that can autonomously plan, build, test, and ship features—even from scratch in a cloud VM—and you collaborate via Slack or GitHub, Cursor is the obvious pick despite the higher team cost. But if you live in IntelliJ or PyCharm and want AI that respects your codebase's patterns without leaving your IDE, JetBrains AI delivers that depth natively, including offline capability—just be ready to pay and skip the free tier.

Can I use Cursor without a repository?

Yes, recent updates let cloud agents work from scratch, save to a new Origin repo, and preview in a browser.

Does JetBrains AI work in VS Code?

No, it's designed for JetBrains IDEs only.

Can I use my own AI model with either tool?

Cursor supports bring-your-own-model; JetBrains AI offers a local model and provider choice, but specifics aren't detailed.

Is there a free tier for JetBrains AI?

No, it's paid-only.

How do I supervise Cursor's autonomous work?

You can review PRs in GitHub, get Slack notifications, and use /goal for long-term objectives.

What are the recent news affecting Cursor?

Cursor launched Origin (a GitHub alternative) and improved cloud agents; SpaceX acquired it, but it remains standalone.

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Last reviewed: August 29, 2026