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AI Tool Comparison

Comparing as AI Code Editors & IDEs
Refact.ai vs Cursor

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

VS
Refact.ai official logo and brand icon

Refact.ai

Freemium
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Cursor official logo and brand icon

Cursor

Freemium
Visit WebsiteFull Review

Verdict by Category

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Feature & Spec Matrix

Detailed Comparison22 Criteria

Complete side-by-side breakdown of specifications, capabilities, and feature parity

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Feature / Spec
Refact.ai
Refact.ai
Cursor
Cursor
Pricing Model
FreemiumRefact.ai is free to start with 2,000 agent/chat coins per month — no credit card required. This covers basic AI Agent and chat usage with access to the platform's full feature set within the monthly quota. Pro costs $10/month (or $8/month billed annually) and provides a higher coin allocation for developers who use the AI Agent and chat heavily on a daily basis. Enterprise pricing is custom and covers three deployment models: self-hosted on your own GPU infrastructure (any hardware you own or rent), AWS-managed (including AWS Inferentia2 for 1.5x price-performance), and VPC/cloud-managed SaaS. Enterprise adds dedicated engineer support, fine-tuning on your private codebase, code access restriction controls, team management dashboard, and SLA guarantees. Contact hello@refact.ai for enterprise pricing.
FreemiumCursor's Hobby plan is free with no credit card required, offering limited Agent requests, limited Tab completions, and access to Composer. Pro costs $20/month and includes extended Agent limits, generous Grok and Composer limits, access to frontier models, MCPs/skills/hooks, cloud agents, and a $20 monthly credit pool for premium model usage. Pro+ costs $60/month with roughly 3x Pro's usage limits and a larger credit pool (~$70). Ultra costs $200/month with about 20x Pro's limits, a ~$400 credit pool, and priority access to new features. Teams Standard costs $40/user/month and adds centralized billing, a team marketplace, Bugbot code reviews, shared cloud agents, usage analytics, team-wide privacy mode, and SAML/OIDC SSO; Teams Premium costs around $120/user/month with roughly 5x Standard's included usage. Enterprise is custom-priced and adds pooled usage, invoice/PO billing, SCIM seat management, repository/model/MCP access controls, audit logs, and an AI code tracking API. Annual billing saves approximately 20% across all paid plans, and all prices are exclusive of applicable taxes.
Starting Price
Difference
Free (2,000 coins/mo) — Pro $10/mo — Enterprise custom
$20/mo (Pro) or $40/user/mo (Business)
Free Plan & Trial Scope
Difference
Free plan: 2,000 agent/chat coins per month. No credit card required. Full AI Agent and chat capabilities included.
Free Hobby tier includes 2-week Pro trial, 50 fast premium requests, 2,000 completions, and standard codebase indexing
User Rating Score
Unrated
Unrated
Ideal Workflow / Use Case
Difference
Enterprise engineering teams who need self-hosted or air-gapped AI coding assistance with custom LLMs, fine-tuning on private codebases, and full data sovereignty
AI-native full-stack software development, autonomous multi-file refactoring, fast code generation, and intelligent codebase Q&A
Enterprise & Scalability
Difference
On-premise deployment, AWS deployment (AWS Inferentia2 supported), self-hosted LLM inference, fine-tuning on private codebase, code access restrictions per file/project, SOC 2 compliance in progress, team management dashboard, custom model selection, air-gapped deployment support
Composer (autonomous multi-file project scaffolding and refactoring), Shadow Workspace for speculative execution, @Codebase semantic indexing, multi-model switcher (Claude 3.7 Sonnet, GPT-4o, DeepSeek R1), inline AI autocomplete (Cursor Tab), and Privacy Mode (zero code storage or training)
Core Categories
Difference
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
AI Coding Assistants
Open-source AI coding agent — #1 on SWE-bench for open-source agents with autonomous end-to-end task completion
Supported
Supported
AI code completion with proprietary fine-tuned models — fast, accurate autocomplete with context-aware suggestions in 25+ languages
Supported
Supported
Self-hosted deployment — run on your own hardware, cloud VPC, or AWS (including Inferentia2 for 1.5x price-performance vs standard GPU)
Difference
Refact.ai Advantage
Not listed
Fine-tuning on private codebase — personalize code completion models on your team's actual code for higher acceptance rates (reported ~45%)
Supported
Supported
Context-aware AI chat — understand and explain code, refactor, generate documentation, find bugs, and answer questions with full project context
Difference
Refact.ai Advantage
Not listed
MCP server integration — connect the AI Agent to external tools, databases, APIs, and services via Model Context Protocol
Difference
Refact.ai Advantage
Not listed
Code access restrictions — restrict agent access to specific files or projects, ensuring private or confidential code is protected at the file level
Difference
Refact.ai Advantage
Not listed
Multi-IDE support — VS Code, all JetBrains IDEs, Neovim (beta), Sublime Text (beta), Visual Studio (beta) and AWS Inferentia2 enterprise deployment
Difference
Refact.ai Advantage
Not listed
Cloud agents that build, test, and demo features in parallel in the background
Difference
Not listed
Cursor Advantage
Cursor CLI for AI-assisted coding directly in the terminal
Difference
Not listed
Cursor Advantage
Bugbot for agentic, automated code review on pull requests
Difference
Not listed
Cursor Advantage
MCP, skills, and hooks support for extending agent capabilities
Difference
Not listed
Cursor Advantage
Slack and GitHub integrations for delegating tasks from chat and PRs
Difference
Not listed
Cursor Advantage
Scheduled automations that run agents on triggers to maintain and fix code
Difference
Not listed
Cursor Advantage
Team marketplace for sharing internal rules, skills, and plugins
Difference
Not listed
Cursor Advantage
Refact.ai icon

Refact.ai Pros & Cons

Pros

  • #1 on SWE-bench Lite for open-source AI coding agents — independently validated autonomous task completion performance
  • Self-hosted on any hardware including AWS Inferentia2 — first AI coding assistant on Inferentia2 with 1.5x price-performance vs GPU
  • Fine-tuning on private codebase delivers ~45% code acceptance rate — significantly higher than generic completions
  • Open source with full transparency — audit the model, the agent code, and the inference pipeline
  • Supports both open-source LLMs (Code Llama, DeepSeek, Llama) and closed-source models (GPT-4, Claude) in self-hosted mode
  • Free plan with 2,000 coins/month and no credit card — genuinely usable for individual developers and evaluation

Cons

  • Smaller community and brand recognition than GitHub Copilot, Cursor, or Codeium
  • Self-hosted deployment requires GPU hardware and technical infrastructure setup — not trivial for smaller teams
  • Agent mode still maturing compared to more established alternatives like Cursor or Cline
  • Cloud-hosted tier is newer and has fewer enterprise features than established alternatives like Tabnine or Augment Code
  • Visual Studio extension is in beta — not as polished as the VS Code and JetBrains plugins
  • Fine-tuning pipeline requires dedicated setup and data preparation — significant upfront investment for enterprise customization
Cursor icon

Cursor Pros & Cons

Pros

  • Deep AI-native integration rather than a bolted-on plugin experience
  • Free Hobby tier available with no credit card required
  • Wide model choice across OpenAI, Claude, Gemini, Grok, and in-house Composer models
  • Autonomous cloud agents can work tasks end-to-end in parallel
  • Privacy Mode guarantees code isn't used for model training when enabled
  • SOC 2 certified with strong enterprise governance and access controls

Cons

  • Credit-based billing means heavy agent or premium-model usage can exceed the base plan quickly
  • Ultra tier is expensive at $200/month for power users
  • As a VS Code fork, some proprietary VS Code extensions may not be fully compatible
  • On-demand overage costs beyond included credits are billed in arrears and can surprise new users
  • Enterprise pricing and invoice billing require contacting sales rather than transparent self-serve rates
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