Software comparison

Cursor

Side-by-side comparison across pricing, requirements, deployment, and features.

ENTITIES · 1/4
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Requirements (3/6)

Pricing (4/4)

Features (2/2)

Audience (2/3)

Deployment (3/4)

Getting started (2/3)

Pros & cons (2/2)

Resources (1/3)

Comparison matrix

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MetricCursorAI Code EditorDifference
Key metrics
DeveloperAnysphere, Inc. (brand name: Cursor)
SubcategoryAI Code Editor
Version3.17
Rating0.0 / 5 (316 reviews)
Price€20,00
Overview
SummaryAI-powered code editor built on VS Code that uses autonomous agents, AI-assisted completions (Tab), and codebase-aware chat to help developers write, edit, and review code.
Requirements
Operating system
LinuxmacOSWindows
Devices
Desktop
Programming languages
TypeScript (Cursor is a fork of the open-source VS Code editor)
Pricing
Licensefreemium
License detailsProprietary software with a free Hobby tier and paid Pro/Pro+/Ultra individual plans and Teams/Enterprise plans; developer Anysphere, Inc. was acquired by SpaceX in August 2026 but Cursor continues to operate as a distinct product.
Availabilityavailable
Pricing plans
  • Hobby — Free
  • Pro — €20,00
  • Pro+
  • Ultra
  • Teams Standard — €40,00
  • Teams Premium
  • Enterprise
Features
Key features
  • AI Agents that autonomously build, test, and fix code
  • Tab AI code completion
  • Composer code generation model
  • Cloud Agents that run tasks in parallel
  • BugBot automated code review on GitHub
  • Multi-model support (OpenAI, Anthropic, Gemini, xAI/Grok, Cursor's own Composer model)
  • CLI for terminal-based agent access
  • Automations that run agents on schedules/triggers
Use cases
  • Autonomous feature development and bug fixing
  • AI-assisted code completion and refactoring
  • Codebase-wide chat and search
  • Automated pull request/code review
Audience
Industries
Software development / technology
Target audienceIndividual software developers and engineering teams
Deployment
API integration
Open source
Self-hosting
Getting started
Installcursor.com/download
Documentationcursor.com/docs
Pros & cons
Pros
  • Seamless AI integration into the coding workflow (G2)
  • Strong context-aware suggestions across multiple files (G2)
  • Significant productivity/time savings on repetitive coding tasks (G2)
  • Familiar VS Code foundation with near-zero learning curve (G2)
  • Flexible switching between multiple AI models (G2)
Cons
  • Usage-based costs and token limits become expensive at scale (G2)
  • Occasional hallucinated or subtly buggy generated code (G2)
  • Slower indexing and context loss on very large codebases (G2)
Resources
Websitecursor.com