software
GitHub Copilot vs Cursor 2026 | AI Code Editor Comparison
GitHub Copilot is a code completion assistant integrated into VS Code and other IDEs, while Cursor is a standalone AI-first code editor built on VS Code that combines an editor with advanced AI features like multi-file editing and natural language refactoring. Cursor offers more comprehensive AI capabilities in one package, while Copilot is broader but requires an existing IDE setup.
GC
GitHub Copilot
AI code completion extension for VS Code, JetBrains, and Visual Studio by OpenAI/Microsoft.
Developers already using VS Code, JetBrains, or Visual Studio who want affordable AI code completion without switching tools.
Score67%
VS
C
Cursor
AI-first code editor built on VS Code with native multi-file editing and flexible AI model selection.
Developers prioritizing AI-driven development with multi-file editing, those willing to switch to an AI-first editor, and teams needing flexible model selection and advanced refactoring capabilities.
Score67%
Quick Answer
AI SummaryGitHub Copilot is a code completion assistant integrated into VS Code and other IDEs, while Cursor is a standalone AI-first code editor built on VS Code that combines an editor with advanced AI features like multi-file editing and natural language refactoring. Cursor offers more comprehensive AI capabilities in one package, while Copilot is broader but requires an existing IDE setup.
Our Verdict
AI-assistedChoose GitHub Copilot if you're already invested in VS Code or another IDE ecosystem and want affordable AI code completion integrated into your existing workflow. Choose Cursor if you prioritize comprehensive AI-driven development with advanced multi-file editing, flexible model selection, and want an editor purpose-built around AI-assisted coding rather than adding AI to a traditional editor.
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G
GitHub Copilot
8.4/10
Cursor
6.6/10
C
G
Choose GitHub Copilot if
Best pickDevelopers already using VS Code, JetBrains, or Visual Studio who want affordable AI code completion without switching tools.
C
Choose Cursor if
Developers prioritizing AI-driven development with multi-file editing, those willing to switch to an AI-first editor, and teams needing flexible model selection and advanced refactoring capabilities.
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Key Differences at a Glance
- Base Product Type:✓ Cursor wins(Standalone AI-first editor vs Code completion extension for IDEs)
- Multi-file AI Editing:✓ Cursor wins(Native multi-file project-wide editing vs Limited to single-file context awareness)
- AI Models Available:✓ Cursor wins(GPT-4o, Claude 3.5 Sonnet, Gemini Pro vs GPT-4, GPT-4o (OpenAI))
Key Facts & Figures
137 numeric metrics compared
| Metric | GitHub Copilot | Cursor | Ratio |
|---|---|---|---|
| IDE Integration Points(count) | 10+ IDEs | VS Code-based only | — |
| Free Trial Period(days) | 30 days | 7 days | |
| Paid plan (per user / month)(USD/mo) | Copilot Pro $10/mo | Cursor Pro $20/mo | |
| Business / team tier(USD/mo) | Business $19/user/mo (Enterprise $39) | Business $40/user/mo | |
| Annual Subscription Cost(USD) | $100 | $120 | |
| Max Context Window(tokens) | 128,000 tokens | 128,000 tokens | |
| Free Tier Premium Requests Per Day(requests) | Unlimited completions | 2 (slow) | — |
| Free Chat Messages Per Month(messages) | 50 | 0 (paid tier required) | |
| Monthly Cost (Business)(USD) | $19 | — | — |
| IDE Support Count(platforms) | 5 major IDEs | — | — |
| Code Completion Accuracy(percent) | 92% | — | — |
| Free Trial Duration(days) | 2 days for new accounts | 14 days | |
| Average Code Completion Latency(milliseconds) | ~150ms | — | — |
| Supported IDE Count(integrations) | 60+ | — | — |
| Estimated Paid User Base(users) | ~1,200,000 | — | — |
| Code Completion Accuracy (HumanEval)(percentage) | ~56-62% | — | — |
| Free Tier Limit(users) | 180 code completions | — | — |
| Compatible Editors/IDEs(platforms) | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | — | — |
| Response Latency (P50)(milliseconds) | ~1200ms average completion | — | — |
| Base Cost(USD/month (for typical usage)) | $10/month individual, $19/month business | — | — |
| Supported AI Models(count) | GitHub Copilot (proprietary, Codex-based) | 4 major models (Claude, GPT-4o, Gemini, local) | |
| Native IDE Integrations(count) | 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) | — | — |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | — | — |
| Average Response Time for Code Suggestion(seconds) | 0.5-1 (inline suggestion) | — | — |
| Monthly Subscription Cost (Individual)(USD) | $10 | $20 | |
| Code Completion Accuracy Rate(%) | 78% | — | — |
| Average Suggestion Latency(milliseconds) | 280ms | — | — |
| Business Plan Annual Cost (per user)(USD) | $252/year | — | — |
| Monthly Cost (Individual)(USD) | $10/month | — | — |
| Annual Cost (1-Person Subscription)(USD) | $120 (monthly) or $100 (annual with 17% discount) | — | — |
| Average Response Latency(ms) | 1350ms | — | — |
| IDE/Editor Integrations(integrations) | 40+ | — | — |
| Lines of Code per Suggestion(lines) | Up to 150 lines | — | — |
| Installation Size(GB) | ~15 MB extension | — | — |
| Global Developer Adoption(percent) | 27% of developers | — | — |
| Average Code Suggestion Time(seconds) | 2-5 seconds per suggestion | — | — |
| Available Extensions/Integrations(count) | 5 IDE integrations | — | — |
| Development Time Reduction(percent) | 20-40% faster on routine tasks | — | — |
| AI Model Options(models) | 2 (GPT-4, Claude) | — | — |
| IDE Support(count) | 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) | — | — |
| User Base Size(millions) | 1.5+ million (GitHub official, 2024) | — | — |
| Single-Line Completion Accuracy(%) | 92% | — | — |
| Supported Editors/IDEs(count) | 20+ IDEs | 1 IDE only | |
| Developer Satisfaction Rate(%) | 91% | — | — |
| Market Adoption Share(%) | 55% | — | — |
| Active Users(millions) | 27 million | — | — |
| Years Since Launch(years) | 4+ years (2021) | 1.5 years (launched Oct 2024) | |
| Supported IDEs/Platforms(count) | 15+ IDEs | Standalone only | |
| Pro Plan Monthly Cost(USD) | $20/month | — | — |
| Supported Development Environments(count) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | — | — |
| Monthly Subscription Cost(USD) | $10 or free with GitHub Pro | $20 | |
| Code Completion Latency(milliseconds) | 150-250ms per suggestion | 50-200ms (Tab autocomplete) | |
| Supported Programming Languages(languages) | 80+ languages | 40+ languages | |
| Context Window(tokens) | 8,000 tokens (~6,000 words) | 200,000 tokens | |
| IDE Integration Support | 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) | — | — |
| Code Generation Accuracy (Python)(percent) | 72% correct on HumanEval benchmark | — | — |
| Context Switching Overhead(seconds per interaction) | 2-5 seconds (in-editor, no switching) | — | — |
| Context Window Size(tokens) | 8,000 tokens | 200KB (Claude) | |
| IDE/Editor Support(count) | 15+ IDEs | — | — |
| Annual Cost (Individual Plan)(USD) | $100/year or $120 with GitHub Pro | — | — |
| Multi-Line Code Generation Accuracy(percent relevance) | 92% | — | — |
| Single-Line Code Completion Accuracy(percent relevance) | 88% | — | — |
| Free Tier Monthly Completion Limit(completions) | 2,000 completions | — | — |
| Average Response Latency (Cloud)(milliseconds) | 340ms average | — | — |
| Avg Code Completion Speed(seconds) | 0.75 | — | — |
| Maximum Context Window(tokens) | 8,000 | 128,000 tokens | |
| Supported IDE Platforms(count) | 5 | — | — |
| AI Provider Options(count) | 1 | — | — |
| Training Data Size(repositories) | 250,000,000 | — | — |
| Annual Cost(USD) | $100 | — | — |
| AI Requests per Month (Pro Plan)(requests) | 100 chat prompts | Unlimited | — |
| Installation Time(minutes) | 2-3 minutes | 7-10 minutes | |
| Cost (Monthly)(USD) | $10 (Pro) or $0 (Limited) | — | — |
| Developer Adoption(percent) | 37% | — | — |
| Code Suggestion Accuracy(percent) | 57% | — | — |
| Setup Time (First Use)(minutes) | 0.5 minutes | — | — |
| Supported Languages(count) | 90+ languages | — | — |
| Coding Speed Improvement(percent) | 35-55% | — | — |
| Available Extensions(count) | Integration with VS Code | ~15,000 (via VS Code) | — |
| Response Time (Average)(ms) | 50-100ms per suggestion | — | — |
| Monthly Cost (Single User)(USD) | Fixed $10 (Copilot Individual) or $19 (Copilot Pro) | — | — |
| File Scope (Max Suggested Edit)(files) | Single file at a time | — | — |
| Context Window (Max Tokens)(tokens) | ~8,000 (estimated Copilot context) | — | — |
| Monthly Cost (Individual Plan)(USD) | $20/month | $20/month | |
| Monthly Individual Cost(USD) | $10/month | $20/month | |
| Annual Individual Cost(USD) | $100/year | $240/year | |
| Available AI Models(count) | 2 (GPT-4, GPT-4o) | 4+ (GPT-4o, Claude, Gemini, local) | |
| Free Tier Monthly Completions(completions) | 0 (students only) | 20 per month | |
| Active User Base(millions) | 5+ million | 1+ million | |
| Product Maturity (Years Active)(years) | 4+ years | 2 years | |
| Interface Learning Curve(scale 1-10) | 3 (familiar) | 3 (familiar) | |
| Agent Autonomy Level(scale 1-10) | 6 | 6 | |
| Control Determinism(scale 1-10) | 9 | 9 | |
| Entry price(USD/month) | ~$20/mo (Pro) | ~$20/mo (Pro) | |
| Pro Plan Price(USD/month) | $20/mo | $20/mo | |
| Startup Time(milliseconds) | 1200-1500ms | 1200-1500ms | |
| Memory Usage (Idle)(MB) | 450-600MB | 450-600MB | |
| Monthly Cost (Subscription)(USD) | $20 | $20 | |
| Number of Supported AI Models(models) | Claude 3.5 Sonnet, GPT-4, Others | Claude 3.5 Sonnet, GPT-4, Others | |
| Estimated Daily Active Users(millions) | ~500K (estimated based on download trends) | ~500K (estimated based on download trends) | |
| Base Subscription Cost (Monthly)(USD) | $20 | $20 | |
| AI Context Window(tokens) | 200,000 (Claude 3.5 Sonnet) | 200,000 (Claude 3.5 Sonnet) | |
| Built-in Code Inspections(count) | ~50 (via Claude AI) | ~50 (via Claude AI) | |
| Supported Languages (Official)(count) | 40+ | 40+ | |
| Setup Time for New Users(minutes) | 2-3 | 2-3 | |
| Max Codebase Size (Recommended)(LOC) | 500,000 | 500,000 | |
| AI Monthly Cost (Unlimited)(USD) | $20/month | $20/month | |
| Free Tier Monthly AI Requests(requests/month) | 50 premium requests | 50 premium requests | |
| Compatible Extensions(extensions) | 70,000+ (VS Code) | 70,000+ (VS Code) | |
| Supported LLMs (Built-in)(models) | 4+ (Claude, GPT-4, local) | 4+ (Claude, GPT-4, local) | |
| Autocomplete Latency(milliseconds) | 250-400ms | 250-400ms | |
| Professional Tier Price(USD per month) | $20 | $20 | |
| Primary AI Model Quality (MMBENCH score)(points out of 100) | 88 (Claude 3.5) | 88 (Claude 3.5) | |
| Base Monthly Cost(USD) | $20 | $20 | |
| IDE Compatibility(count) | 1 (Cursor only) | 1 (Cursor only) | |
| Code Context Window(tokens) | 8000-16000 | 8000-16000 | |
| Real-time Suggestion Speed(ms latency) | 200-400 | 200-400 | |
| Estimated Active Users(thousands) | 500 | 500 | |
| Base Monthly Price(USD) | $20 | $20 | |
| Number of Supported IDEs(count) | 1 (Cursor IDE only) | 1 (Cursor IDE only) | |
| Max Context Window Size(KB) | 1000+ KB | 1000+ KB | |
| Setup Time (Minutes)(minutes) | Immediate | Immediate | |
| Programming Languages Supported(count) | 50+ | 50+ | |
| Monthly Subscription Cost (Pro Tier)(USD) | $20/month | $20/month | |
| Maximum Token Context Window(tokens) | 200,000 tokens | 200,000 tokens | |
| Extension Ecosystem Size(extensions available) | 40,000+ (VS Code marketplace) | 40,000+ (VS Code marketplace) | |
| Setup Time (Fresh Installation)(minutes) | 5-10 minutes | 5-10 minutes | |
| Monthly Subscription (Pro/Standard)(USD) | $20 | $20 | |
| Code Completion Speed(seconds) | 1–3 seconds (avg inline suggestion) | 1–3 seconds (avg inline suggestion) | |
| Base Monthly Cost (Premium)(USD) | $20/month | $20/month | |
| Setup Time for Existing Users(minutes) | 60-120 minutes | 60-120 minutes | |
| Code Context Window Size(KB) | ~500KB+ codebase context | ~500KB+ codebase context | |
| Learning Curve (1-10 Scale)(scale) | 5/10 (new IDE) | 5/10 (new IDE) | |
| Pro Tier Monthly Cost(USD) | $20 | $20 | |
| Free Tier Monthly Requests(requests) | 50 requests/month | 50 requests/month | |
| IDE Integration Options(integrations) | 2 (VSCode + standalone) | 2 (VSCode + standalone) | |
| Public Launch Year(year) | 2023 | 2023 |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
GC
1GitHub CopilotCursor leads1 tie
C
5CursorGitHub Copilot
Attribute
Cursor
- Code completion extension for IDEsBase Product TypeStandalone AI-first editor(winner)
- Limited to single-file context awarenessMulti-file AI EditingNative multi-file project-wide editing(winner)
- GPT-4, GPT-4o (OpenAI)AI Models AvailableGPT-4o, Claude 3.5 Sonnet, Gemini Pro(winner)
- $10 per month or $100/year(winner)Monthly Cost (Individual)$20 per month (Pro)
- Yes (VS Code, JetBrains, Visual Studio)IDE Integration RequiredNo (standalone editor)(winner)
- Basic inline suggestions onlyNatural Language RefactoringAdvanced multi-file refactoring with 'cmd+k'(winner)
- Yes (limited to students/educators)Free Tier AvailabilityYes (20 free completions/month + trials)
- Base Product Type
GitHub Copilot
Code completion extension for IDEs
Cursor
Standalone AI-first editor(winner)
- Multi-file AI Editing
GitHub Copilot
Limited to single-file context awareness
Cursor
Native multi-file project-wide editing(winner)
- AI Models Available
GitHub Copilot
GPT-4, GPT-4o (OpenAI)
Cursor
GPT-4o, Claude 3.5 Sonnet, Gemini Pro(winner)
- Monthly Cost (Individual)
GitHub Copilot
$10 per month or $100/year(winner)
Cursor
$20 per month (Pro)
- IDE Integration Required
GitHub Copilot
Yes (VS Code, JetBrains, Visual Studio)
Cursor
No (standalone editor)(winner)
- Natural Language Refactoring
GitHub Copilot
Basic inline suggestions only
Cursor
Advanced multi-file refactoring with 'cmd+k'(winner)
- Free Tier Availability
GitHub Copilot
Yes (limited to students/educators)
Cursor
Yes (20 free completions/month + trials)
Full Comparison
| Attribute | GitHub Copilot | Cursor |
|---|---|---|
| IDE Integration Points(count) | 10+ IDEs | VS Code-based only |
| Supported IDE Count(integrations) | 60+ | — |
| Supported IDEs/Editors(count) | 4+ (VS Code, JetBrains, Visual Studio, Neovim)(winner) | 1 (VS Code) |
| Supported Editors/IDEs(count) | 20+ IDEs(winner) | 1 IDE only |
| Supported Development Environments(count) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | — |
Show 3 more attributesSupported IDE Platforms(count) 5 — Platform Support(platforms) macOS, Windows, Linux — Number of Supported IDEs(count) 1 (Cursor IDE only) — | ||
| Setup Time(minutes) | 2-3 minutes(winner) | 5-10 minutes |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | — |
| Setup Time (First Use)(minutes) | 0.5 minutes | — |
| Setup Time (Minutes)(minutes) | Immediate | — |
| Setup Time (Fresh Installation)(minutes) | 5-10 minutes | — |
| Codebase Context Awareness(rating) | Good | Excellent |
| Inline Edit/Refactor(capability) | Good | Native & Superior |
| Model Flexibility(options) | 3+ model choices | 2 model choices |
| Max Context Window(tokens) | 128,000 tokens | 128,000 tokens |
| Default AI Model Quality (Reasoning) | Copilot (GPT-based, Good) | Claude 3.5 Sonnet (Superior) |
Show 4 more attributesMulti-File Project Understanding Limited to current + adjacent files Native @-indexing across entire codebase Primary AI Model GPT-4o / o1 (OpenAI) — Codebase Indexing(boolean) No, single-file awareness Yes, full project indexing Max Context Window Size(KB) 1000+ KB — | ||
| Enterprise SSO Support | Yes | Limited |
| Community Size(users) | Very Large | Growing |
| Estimated Active Users(thousands) | 500 | — |
| Free Trial Period(days) | 30 days(winner) | 7 days |
| Free Trial Duration(days) | 2 days for new accounts | 14 days(winner) |
| Setup Time for Existing Users(minutes) | 60-120 minutes | — |
| Learning Curve(hours to proficiency) | Minimal (extension) | Low (VS Code familiarity) |
| Paid plan (per user / month)(USD/mo) | Copilot Pro $10/mo(winner) | Cursor Pro $20/mo |
| Free tier | Free tier with limited completions/chat, plus free for verified students, teachers, and OSS maintainers | Yes — free Hobby tier plus a 2-week Pro trial |
| Business / team tier(USD/mo) | Business $19/user/mo (Enterprise $39)(winner) | Business $40/user/mo |
| Annual Subscription Cost(USD) | $100(winner) | $120 |
| Free Tier Premium Requests Per Day(requests) | Unlimited completions | 2 (slow) |
Show 37 more attributesFree Chat Messages Per Month(messages) 50 0 (paid tier required) Monthly Cost (Business)(USD) $19 — Self-Hosted Option Not available — Free Tier Limit(users) 180 code completions — Base Cost(USD/month (for typical usage)) $10/month individual, $19/month business — Monthly Subscription Cost (Individual)(USD) $10 $20 Business Plan Annual Cost (per user)(USD) $252/year — Monthly Cost (Individual)(USD) $10/month — Annual Cost (1-Person Subscription)(USD) $120 (monthly) or $100 (annual with 17% discount) — Monthly Cost(USD) $10 — Free Tier Available(null) Yes (GitHub Copilot Free) — Free Tier Availability 30-day trial only 14-day free trial Pro Plan Monthly Cost(USD) $20/month — Monthly Subscription Cost(USD) $10 or free with GitHub Pro $20 Annual Cost (Individual Plan)(USD) $100/year or $120 with GitHub Pro — Free Tier Monthly Completion Limit(completions) 2,000 completions — Annual Cost(USD) $100 — Cost (Monthly)(USD) $10 (Pro) or $0 (Limited) — Monthly Cost (Single User)(USD) Fixed $10 (Copilot Individual) or $19 (Copilot Pro) — Monthly Cost (Individual Plan)(USD) $20/month $20/month Monthly Individual Cost(USD) $10/month $20/month Annual Individual Cost(USD) $100/year $240/year Free Tier Monthly Completions(completions) 0 (students only) 20 per month Monthly Cost(USD) $20 — Entry price(USD/month) ~$20/mo (Pro) — Rate limit style Monthly fast-request quota — Pro Plan Price(USD/month) $20/mo — Monthly Cost (Subscription)(USD) $20 — Base Subscription Cost (Monthly)(USD) $20 — AI Monthly Cost (Unlimited)(USD) $20/month — Professional Tier Price(USD per month) $20 — Base Monthly Cost(USD) $20 — Base Monthly Price(USD) $20 — Monthly Subscription Cost (Pro Tier)(USD) $20/month — Monthly Subscription (Pro/Standard)(USD) $20 — Pro Tier Monthly Cost(USD) $20 — Free Tier Monthly Requests(requests) 50 requests/month — | ||
| IDE model | Plugin/extension installed into your existing IDE | Standalone editor — a fork of VS Code (install Cursor itself) |
| Standalone IDE Capability | Plugin only (requires VS Code/JetBrains) | — |
| Base Technology | VS Code fork | — |
| Base on VS Code(boolean) | Yes | — |
| Selectable AI models | Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent) | Anthropic Claude, OpenAI GPT, Google Gemini, plus Cursor fast models (per-request switching) |
| Model choice | Multi-model (Claude, GPT, Gemini, etc.) | — |
| Frontier models available | Claude, GPT, Gemini families (frequent day-one additions) | — |
| Agent / multi-file editing | Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor | Composer (Agent) plan-execute-verify loop across many files; runs commands and tests |
| IDE/Editor Integrations(integrations) | 40+ | — |
| Lines of Code per Suggestion(lines) | Up to 150 lines | — |
| Available Extensions/Integrations(count) | 5 IDE integrations | — |
| Multi-file Project Editing | Limited to referenced files | — |
Show 8 more attributesChat & Code Explanation Feature Available in all tiers — Available AI Models(count) 2 (GPT-4, GPT-4o) 4+ (GPT-4o, Claude, Gemini, local) Multi-file Context Editing Limited (single file) Native (full project) IDE Feature Completeness(score) 10/10 — Built-in AI Features Native Claude integration — Offline Functionality(capability level) Limited (chat requires internet) — Native Multiplayer Collaboration No — Multi-File Editing Native support — | ||
| Large-repo codebase indexing | Repository context, @workspace search, and Enterprise knowledge bases; less aggressive auto-indexing | Whole-repo semantic embeddings with automatic relevant-file retrieval; built for monorepos |
| Inline autocomplete latency | Very fast, low-latency completions; category pioneer and still excellent inline | Very fast predictive Tab completions that jump to the next edit location |
| Average Code Completion Latency(milliseconds) | ~150ms | — |
| Code Completion Accuracy (HumanEval)(percentage) | ~56-62% | — |
| Response Latency (P50)(milliseconds) | ~1200ms average completion | — |
Show 21 more attributesAverage Response Time for Code Suggestion(seconds) 0.5-1 (inline suggestion) — Code Completion Accuracy Rate(%) 78% — Average Suggestion Latency(milliseconds) 280ms — Average Response Latency(ms) 1350ms — Average Code Suggestion Time(seconds) 2-5 seconds per suggestion — Single-Line Completion Accuracy(%) 92% — Code Completion Latency(milliseconds) 150-250ms per suggestion 50-200ms (Tab autocomplete) Multi-Line Code Generation Accuracy(percent relevance) 92% — Single-Line Code Completion Accuracy(percent relevance) 88% — Average Response Latency (Cloud)(milliseconds) 340ms average — Avg Code Completion Speed(seconds) 0.75 — Response Time (Average)(ms) 50-100ms per suggestion — Context Window (Max Tokens)(tokens) ~8,000 (estimated Copilot context) — Daily Code Lines Generated(millions) Not disclosed — Token Efficiency(relative ratio) Baseline (1.0x) — Code Quality (No-Edit Rate)(percent) ~75% — Startup Time(milliseconds) 1200-1500ms — Autocomplete Latency(milliseconds) 250-400ms — Code Context Window(tokens) 8000-16000 — Real-time Suggestion Speed(ms latency) 200-400 — Code Completion Speed(seconds) 1–3 seconds (avg inline suggestion) — | ||
| Enterprise governance & IP indemnity | Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification | SSO, privacy mode (no retention/training), admin controls, SOC 2 |
| Privacy: Code Stored on Vendor Servers(boolean) | Yes (OpenAI servers) | — |
| Built-in Security Scanning | Limited (logs code references) | — |
| Enterprise Security Certifications(count) | SOC 2 Type II, ISO 27001 | — |
| Security Certifications(count) | Enterprise-grade | — |
Show 1 more attributeData Privacy Model Code sent to Anthropic servers — | ||
| Compatible Editors | VS Code, JetBrains, Neovim, Visual Studio, Sublime(winner) | Cursor only |
| IDE Support Count(platforms) | 5 major IDEs | — |
| Native GitHub Integration | Deep (PR, commits, issues) | — |
| Compatible Editors/IDEs(platforms) | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | — |
| Native IDE Integrations(count) | 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) | — |
Show 7 more attributesIDE Support(count) 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) — Supported IDEs/Platforms(count) 15+ IDEs Standalone only IDE Integration Support 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) — IDE/Editor Support(count) 15+ IDEs — AWS Service Integration Limited (generic suggestions) — IDE Compatibility(count) 1 (Cursor only) — IDE Integration Native VS Code-based editor — | ||
| Code Completion Accuracy(percent) | 92% | — |
| On-Premise Deployment | Not available | — |
| Self-Hosted Enterprise Option | Not available | — |
| Training Data Recency | October 2023 (~27 months old) | — |
| Training Data Cutoff(year) | April 2024 | — |
| Estimated Paid User Base(users) | ~1,200,000 | — |
| Active User Base(millions) | 5+ million(winner) | 1+ million |
| Active Users (2026)(millions) | Not publicly disclosed | — |
| Estimated Daily Active Users(millions) | ~500K (estimated based on download trends) | — |
| Agentic Task Execution | Suggestion-based only, no autonomous execution | — |
| Supported AI Models(count) | GitHub Copilot (proprietary, Codex-based) | 4 major models (Claude, GPT-4o, Gemini, local)(winner) |
| Context Window Size(tokens) | 8,000 tokens | 200KB (Claude)(winner) |
| Maximum Token Context Window(tokens) | 200,000 tokens | — |
| Agentic Workflow Capability(boolean) | Limited (basic) | — |
Show 3 more attributesCode Context Window Size(KB) ~500KB+ codebase context — Primary AI Model (Free) Claude 3.5 Sonnet + GPT-4 — Multi-file Refactoring Support Full native support — | ||
| AI Model Provider | OpenAI GPT-4 / Anthropic Claude | — |
| Maximum Codebase Context Window(files) | ~5-10 visible files in editor | — |
| Multi-File Autonomous Editing(capability) | No—suggestions only, manual edit required | — |
| Context Window(tokens) | 8,000 tokens (~6,000 words) | 200,000 tokens(winner) |
| File Scope (Max Suggested Edit)(files) | Single file at a time | — |
| Number of Supported AI Models(models) | Claude 3.5 Sonnet, GPT-4, Others | — |
Show 1 more attributeMax File Size for Analysis(megabytes) Entire projects (no hard limit) — | ||
| Offline Capability | No (cloud-only) | — |
| GitHub Integration Depth(null) | Native PR reviews, CLI, GitHub.dev, Copilot X | — |
| Local/On-Device Processing Option | Data exclusion available (enterprise only) | — |
| Local Execution Support(boolean) | No (cloud-only) | — |
| Data Privacy (Cloud Processing)(boolean) | Mandatory (cloud-based) | — |
| Code Retention for Training | Code may be retained (opt-out available) | — |
| Data Processing Location | Cloud (GitHub servers) | — |
Show 1 more attributeLocal Model Support(boolean) No — | ||
| Installation Size(GB) | ~15 MB extension | — |
| Global Developer Adoption(percent) | 27% of developers | — |
| Development Time Reduction(percent) | 20-40% faster on routine tasks | — |
| Coding Speed Improvement(percent) | 35-55% | — |
| AI Model Options(models) | 2 (GPT-4, Claude) | — |
| User Base Size(millions) | 1.5+ million (GitHub official, 2024) | — |
| Developer Adoption(percent) | 37% | — |
| Enterprise SLA Support(boolean) | Yes (GitHub Enterprise available) | — |
| Fortune 500 Adoption Rate(%) | Significant but undisclosed | — |
| Enterprise / self-hosting | Mature enterprise tier with SSO + privacy mode | — |
| Setup Complexity(complexity score) | 2–5 min (GitHub sign-in) | 1-2 steps (download IDE)(winner) |
| Developer Satisfaction Rate(%) | 91% | — |
| Market Adoption Share(%) | 55% | — |
| Active Users(millions) | 27 million | — |
| Years Since Launch(years) | 4+ years (2021)(winner) | 1.5 years (launched Oct 2024) |
| Supported Programming Languages(languages) | 80+ languages(winner) | 40+ languages |
| Supported Languages (Official)(count) | 40+ | — |
| Knowledge Cutoff Date(month/year) | April 2024 | — |
| Code Generation Accuracy (Python)(percent) | 72% correct on HumanEval benchmark | — |
| Context Switching Overhead(seconds per interaction) | 2-5 seconds (in-editor, no switching) | — |
| Headless / CI automation | Not designed for it | — |
| Codebase context | Workspace indexing + @-mentions | — |
| Best for | Interactive feature building & quick edits | — |
| Training Data Cutoff Date | April 2024 | — |
| Local Processing Capability | Cloud-only | — |
| Maximum Context Window(tokens) | 8,000 | 128,000 tokens(winner) |
| Multi-file Context Support(files) | Advanced (full workspace) | — |
| AI Provider Options(count) | 1 | — |
| Model Customization | No: GitHub Copilot model is fixed and proprietary | — |
| Customization Freedom(score) | 6/10 | — |
| Training Data Size(repositories) | 250,000,000 | — |
| AI Requests per Month (Pro Plan)(requests) | 100 chat prompts | Unlimited |
| Installation Time(minutes) | 2-3 minutes(winner) | 7-10 minutes |
| Code Suggestion Accuracy(percent) | 57% | — |
| Primary AI Model Quality (MMBENCH score)(points out of 100) | 88 (Claude 3.5) | — |
| Supported Languages(count) | 90+ languages | — |
| Platform Availability(platforms) | Desktop (Mac, Windows, Linux) | — |
| Available on Mobile | No native mobile app | — |
| Available Extensions(count) | Integration with VS Code | ~15,000 (via VS Code) |
| Compatible Extensions(extensions) | 70,000+ (VS Code) | — |
| IDE Integration Options(integrations) | 2 (VSCode + standalone) | — |
| Git Integration | None: requires manual git commands outside Copilot | — |
| Self-Hosted Deployment | Not available | — |
| Product Maturity (Years Active)(years) | 4+ years(winner) | 2 years |
| Open Source | No (proprietary) | — |
| Interface Learning Curve(scale 1-10) | 3 (familiar) | — |
| Agent Autonomy Level(scale 1-10) | 6 | — |
| Control Determinism(scale 1-10) | 9 | — |
| Multi-line Tab Autocomplete | Native support | — |
| AI Context Window(tokens) | 200,000 (Claude 3.5 Sonnet) | — |
| Supported LLMs (Built-in)(models) | 4+ (Claude, GPT-4, local) | — |
| Interface Type | Full IDE | — |
| Setup Time(minutes) | <5 minutes | — |
| Licensing Model | Proprietary Commercial | — |
| Interface type | Graphical IDE (VS Code fork) | — |
| Primary Workflow(null) | Interactive in-editor coding | — |
| Pricing Model | Flat plan with request quota + usage add-ons | — |
| Agent name | Agent (formerly Composer) | — |
| Autocomplete engine | Cursor Tab model | — |
| Editor base | VS Code fork | — |
| Community size / momentum | Largest AI-IDE community and mindshare | — |
| Memory Usage (Idle)(MB) | 450-600MB | — |
| Built-in Code Inspections(count) | ~50 (via Claude AI) | — |
| Setup Time for New Users(minutes) | 2-3 | — |
| Learning Curve (1-10 Scale)(scale) | 5/10 (new IDE) | — |
| Max Codebase Size (Recommended)(LOC) | 500,000 | — |
| Free Tier Monthly AI Requests(requests/month) | 50 premium requests | — |
| Base Monthly Cost (Premium)(USD) | $20/month | — |
| Architecture | Electron (VS Code fork) | — |
| API Rate Limit (Standard Tier)(calls/hour) | Varies by plan (Pro tier higher) | — |
| Programming Languages Supported(count) | 50+ | — |
| Native Multi-user Collaboration(boolean) | No (via extensions only) | — |
| Extension Ecosystem Size(extensions available) | 40,000+ (VS Code marketplace) | — |
| Input Types Supported | Code, text, file references | — |
| Codebase Context Indexing | Automatic full-project indexing | — |
| Public Launch Year(year) | 2023 | — |
GGitHub Copilot
CCursor
IDE Integration Points(count)
10+ IDEs
VS Code-based only
Supported IDE Count(integrations)
60+
—
Supported IDEs/Editors(count)
4+ (VS Code, JetBrains, Visual Studio, Neovim)
1 (VS Code)
Supported Editors/IDEs(count)
20+ IDEs
1 IDE only
Supported Development Environments(count)
10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.)
—
Show 3 more attributes
Supported IDE Platforms(count)
5
—
Platform Support(platforms)
macOS, Windows, Linux
—
Number of Supported IDEs(count)
1 (Cursor IDE only)
—
Setup Time(minutes)
2-3 minutes
5-10 minutes
Learning Curve (1=easy, 5=hard)(score)
1 (IDE-native, like autocomplete)
—
Setup Time (First Use)(minutes)
0.5 minutes
—
Setup Time (Minutes)(minutes)
Immediate
—
Setup Time (Fresh Installation)(minutes)
5-10 minutes
—
Codebase Context Awareness(rating)
Good
Excellent
Inline Edit/Refactor(capability)
Good
Native & Superior
Model Flexibility(options)
3+ model choices
2 model choices
Max Context Window(tokens)
128,000 tokens
128,000 tokens
Default AI Model Quality (Reasoning)
Copilot (GPT-based, Good)
Claude 3.5 Sonnet (Superior)
Show 4 more attributes
Multi-File Project Understanding
Limited to current + adjacent files
Native @-indexing across entire codebase
Primary AI Model
GPT-4o / o1 (OpenAI)
—
Codebase Indexing(boolean)
No, single-file awareness
Yes, full project indexing
Max Context Window Size(KB)
1000+ KB
—
Enterprise SSO Support
Yes
Limited
Community Size(users)
Very Large
Growing
Estimated Active Users(thousands)
500
—
Free Trial Period(days)
30 days
7 days
Free Trial Duration(days)
2 days for new accounts
14 days
Setup Time for Existing Users(minutes)
60-120 minutes
—
Learning Curve(hours to proficiency)
Minimal (extension)
Low (VS Code familiarity)
Paid plan (per user / month)(USD/mo)
Copilot Pro $10/mo
Cursor Pro $20/mo
Free tier
Free tier with limited completions/chat, plus free for verified students, teachers, and OSS maintainers
Yes — free Hobby tier plus a 2-week Pro trial
Business / team tier(USD/mo)
Business $19/user/mo (Enterprise $39)
Business $40/user/mo
Annual Subscription Cost(USD)
$100
$120
Free Tier Premium Requests Per Day(requests)
Unlimited completions
2 (slow)
Show 37 more attributes
Free Chat Messages Per Month(messages)
50
0 (paid tier required)
Monthly Cost (Business)(USD)
$19
—
Self-Hosted Option
Not available
—
Free Tier Limit(users)
180 code completions
—
Base Cost(USD/month (for typical usage))
$10/month individual, $19/month business
—
Monthly Subscription Cost (Individual)(USD)
$10
$20
Business Plan Annual Cost (per user)(USD)
$252/year
—
Monthly Cost (Individual)(USD)
$10/month
—
Annual Cost (1-Person Subscription)(USD)
$120 (monthly) or $100 (annual with 17% discount)
—
Monthly Cost(USD)
$10
—
Free Tier Available(null)
Yes (GitHub Copilot Free)
—
Free Tier Availability
30-day trial only
14-day free trial
Pro Plan Monthly Cost(USD)
$20/month
—
Monthly Subscription Cost(USD)
$10 or free with GitHub Pro
$20
Annual Cost (Individual Plan)(USD)
$100/year or $120 with GitHub Pro
—
Free Tier Monthly Completion Limit(completions)
2,000 completions
—
Annual Cost(USD)
$100
—
Cost (Monthly)(USD)
$10 (Pro) or $0 (Limited)
—
Monthly Cost (Single User)(USD)
Fixed $10 (Copilot Individual) or $19 (Copilot Pro)
—
Monthly Cost (Individual Plan)(USD)
$20/month
$20/month
Monthly Individual Cost(USD)
$10/month
$20/month
Annual Individual Cost(USD)
$100/year
$240/year
Free Tier Monthly Completions(completions)
0 (students only)
20 per month
Monthly Cost(USD)
$20
—
Entry price(USD/month)
~$20/mo (Pro)
—
Rate limit style
Monthly fast-request quota
—
Pro Plan Price(USD/month)
$20/mo
—
Monthly Cost (Subscription)(USD)
$20
—
Base Subscription Cost (Monthly)(USD)
$20
—
AI Monthly Cost (Unlimited)(USD)
$20/month
—
Professional Tier Price(USD per month)
$20
—
Base Monthly Cost(USD)
$20
—
Base Monthly Price(USD)
$20
—
Monthly Subscription Cost (Pro Tier)(USD)
$20/month
—
Monthly Subscription (Pro/Standard)(USD)
$20
—
Pro Tier Monthly Cost(USD)
$20
—
Free Tier Monthly Requests(requests)
50 requests/month
—
IDE model
Plugin/extension installed into your existing IDE
Standalone editor — a fork of VS Code (install Cursor itself)
Standalone IDE Capability
Plugin only (requires VS Code/JetBrains)
—
Base Technology
VS Code fork
—
Base on VS Code(boolean)
Yes
—
Selectable AI models
Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent)
Anthropic Claude, OpenAI GPT, Google Gemini, plus Cursor fast models (per-request switching)
Model choice
Multi-model (Claude, GPT, Gemini, etc.)
—
Frontier models available
Claude, GPT, Gemini families (frequent day-one additions)
—
Agent / multi-file editing
Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor
Composer (Agent) plan-execute-verify loop across many files; runs commands and tests
IDE/Editor Integrations(integrations)
40+
—
Lines of Code per Suggestion(lines)
Up to 150 lines
—
Available Extensions/Integrations(count)
5 IDE integrations
—
Multi-file Project Editing
Limited to referenced files
—
Show 8 more attributes
Chat & Code Explanation Feature
Available in all tiers
—
Available AI Models(count)
2 (GPT-4, GPT-4o)
4+ (GPT-4o, Claude, Gemini, local)
Multi-file Context Editing
Limited (single file)
Native (full project)
IDE Feature Completeness(score)
10/10
—
Built-in AI Features
Native Claude integration
—
Offline Functionality(capability level)
Limited (chat requires internet)
—
Native Multiplayer Collaboration
No
—
Multi-File Editing
Native support
—
Large-repo codebase indexing
Repository context, @workspace search, and Enterprise knowledge bases; less aggressive auto-indexing
Whole-repo semantic embeddings with automatic relevant-file retrieval; built for monorepos
Inline autocomplete latency
Very fast, low-latency completions; category pioneer and still excellent inline
Very fast predictive Tab completions that jump to the next edit location
Average Code Completion Latency(milliseconds)
~150ms
—
Code Completion Accuracy (HumanEval)(percentage)
~56-62%
—
Response Latency (P50)(milliseconds)
~1200ms average completion
—
Show 21 more attributes
Average Response Time for Code Suggestion(seconds)
0.5-1 (inline suggestion)
—
Code Completion Accuracy Rate(%)
78%
—
Average Suggestion Latency(milliseconds)
280ms
—
Average Response Latency(ms)
1350ms
—
Average Code Suggestion Time(seconds)
2-5 seconds per suggestion
—
Single-Line Completion Accuracy(%)
92%
—
Code Completion Latency(milliseconds)
150-250ms per suggestion
50-200ms (Tab autocomplete)
Multi-Line Code Generation Accuracy(percent relevance)
92%
—
Single-Line Code Completion Accuracy(percent relevance)
88%
—
Average Response Latency (Cloud)(milliseconds)
340ms average
—
Avg Code Completion Speed(seconds)
0.75
—
Response Time (Average)(ms)
50-100ms per suggestion
—
Context Window (Max Tokens)(tokens)
~8,000 (estimated Copilot context)
—
Daily Code Lines Generated(millions)
Not disclosed
—
Token Efficiency(relative ratio)
Baseline (1.0x)
—
Code Quality (No-Edit Rate)(percent)
~75%
—
Startup Time(milliseconds)
1200-1500ms
—
Autocomplete Latency(milliseconds)
250-400ms
—
Code Context Window(tokens)
8000-16000
—
Real-time Suggestion Speed(ms latency)
200-400
—
Code Completion Speed(seconds)
1–3 seconds (avg inline suggestion)
—
Enterprise governance & IP indemnity
Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification
SSO, privacy mode (no retention/training), admin controls, SOC 2
Privacy: Code Stored on Vendor Servers(boolean)
Yes (OpenAI servers)
—
Built-in Security Scanning
Limited (logs code references)
—
Enterprise Security Certifications(count)
SOC 2 Type II, ISO 27001
—
Security Certifications(count)
Enterprise-grade
—
Show 1 more attribute
Data Privacy Model
Code sent to Anthropic servers
—
Compatible Editors
VS Code, JetBrains, Neovim, Visual Studio, Sublime
Cursor only
IDE Support Count(platforms)
5 major IDEs
—
Native GitHub Integration
Deep (PR, commits, issues)
—
Compatible Editors/IDEs(platforms)
15+ editors (VS Code, JetBrains, Vim, Neovim, etc.)
—
Native IDE Integrations(count)
5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim)
—
Show 7 more attributes
IDE Support(count)
4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta)
—
Supported IDEs/Platforms(count)
15+ IDEs
Standalone only
IDE Integration Support
8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.)
—
IDE/Editor Support(count)
15+ IDEs
—
AWS Service Integration
Limited (generic suggestions)
—
IDE Compatibility(count)
1 (Cursor only)
—
IDE Integration
Native VS Code-based editor
—
Code Completion Accuracy(percent)
92%
—
On-Premise Deployment
Not available
—
Self-Hosted Enterprise Option
Not available
—
Training Data Recency
October 2023 (~27 months old)
—
Training Data Cutoff(year)
April 2024
—
Estimated Paid User Base(users)
~1,200,000
—
Active User Base(millions)
5+ million
1+ million
Active Users (2026)(millions)
Not publicly disclosed
—
Estimated Daily Active Users(millions)
~500K (estimated based on download trends)
—
Agentic Task Execution
Suggestion-based only, no autonomous execution
—
Supported AI Models(count)
GitHub Copilot (proprietary, Codex-based)
4 major models (Claude, GPT-4o, Gemini, local)
Context Window Size(tokens)
8,000 tokens
200KB (Claude)
Maximum Token Context Window(tokens)
200,000 tokens
—
Agentic Workflow Capability(boolean)
Limited (basic)
—
Show 3 more attributes
Code Context Window Size(KB)
~500KB+ codebase context
—
Primary AI Model (Free)
Claude 3.5 Sonnet + GPT-4
—
Multi-file Refactoring Support
Full native support
—
AI Model Provider
OpenAI GPT-4 / Anthropic Claude
—
Maximum Codebase Context Window(files)
~5-10 visible files in editor
—
Multi-File Autonomous Editing(capability)
No—suggestions only, manual edit required
—
Context Window(tokens)
8,000 tokens (~6,000 words)
200,000 tokens
File Scope (Max Suggested Edit)(files)
Single file at a time
—
Number of Supported AI Models(models)
Claude 3.5 Sonnet, GPT-4, Others
—
Show 1 more attribute
Max File Size for Analysis(megabytes)
Entire projects (no hard limit)
—
Offline Capability
No (cloud-only)
—
GitHub Integration Depth(null)
Native PR reviews, CLI, GitHub.dev, Copilot X
—
Local/On-Device Processing Option
Data exclusion available (enterprise only)
—
Local Execution Support(boolean)
No (cloud-only)
—
Data Privacy (Cloud Processing)(boolean)
Mandatory (cloud-based)
—
Code Retention for Training
Code may be retained (opt-out available)
—
Data Processing Location
Cloud (GitHub servers)
—
Show 1 more attribute
Local Model Support(boolean)
No
—
Installation Size(GB)
~15 MB extension
—
Global Developer Adoption(percent)
27% of developers
—
Development Time Reduction(percent)
20-40% faster on routine tasks
—
Coding Speed Improvement(percent)
35-55%
—
AI Model Options(models)
2 (GPT-4, Claude)
—
User Base Size(millions)
1.5+ million (GitHub official, 2024)
—
Developer Adoption(percent)
37%
—
Enterprise SLA Support(boolean)
Yes (GitHub Enterprise available)
—
Fortune 500 Adoption Rate(%)
Significant but undisclosed
—
Enterprise / self-hosting
Mature enterprise tier with SSO + privacy mode
—
Setup Complexity(complexity score)
2–5 min (GitHub sign-in)
1-2 steps (download IDE)
Developer Satisfaction Rate(%)
91%
—
Market Adoption Share(%)
55%
—
Active Users(millions)
27 million
—
Years Since Launch(years)
4+ years (2021)
1.5 years (launched Oct 2024)
Supported Programming Languages(languages)
80+ languages
40+ languages
Supported Languages (Official)(count)
40+
—
Knowledge Cutoff Date(month/year)
April 2024
—
Code Generation Accuracy (Python)(percent)
72% correct on HumanEval benchmark
—
Context Switching Overhead(seconds per interaction)
2-5 seconds (in-editor, no switching)
—
Headless / CI automation
Not designed for it
—
Codebase context
Workspace indexing + @-mentions
—
Best for
Interactive feature building & quick edits
—
Training Data Cutoff Date
April 2024
—
Local Processing Capability
Cloud-only
—
Maximum Context Window(tokens)
8,000
128,000 tokens
Multi-file Context Support(files)
Advanced (full workspace)
—
AI Provider Options(count)
1
—
Model Customization
No: GitHub Copilot model is fixed and proprietary
—
Customization Freedom(score)
6/10
—
Training Data Size(repositories)
250,000,000
—
AI Requests per Month (Pro Plan)(requests)
100 chat prompts
Unlimited
Installation Time(minutes)
2-3 minutes
7-10 minutes
Code Suggestion Accuracy(percent)
57%
—
Primary AI Model Quality (MMBENCH score)(points out of 100)
88 (Claude 3.5)
—
Supported Languages(count)
90+ languages
—
Platform Availability(platforms)
Desktop (Mac, Windows, Linux)
—
Available on Mobile
No native mobile app
—
Available Extensions(count)
Integration with VS Code
~15,000 (via VS Code)
Compatible Extensions(extensions)
70,000+ (VS Code)
—
IDE Integration Options(integrations)
2 (VSCode + standalone)
—
Git Integration
None: requires manual git commands outside Copilot
—
Self-Hosted Deployment
Not available
—
Product Maturity (Years Active)(years)
4+ years
2 years
Open Source
No (proprietary)
—
Interface Learning Curve(scale 1-10)
3 (familiar)
—
Agent Autonomy Level(scale 1-10)
6
—
Control Determinism(scale 1-10)
9
—
Multi-line Tab Autocomplete
Native support
—
AI Context Window(tokens)
200,000 (Claude 3.5 Sonnet)
—
Supported LLMs (Built-in)(models)
4+ (Claude, GPT-4, local)
—
Interface Type
Full IDE
—
Setup Time(minutes)
<5 minutes
—
Licensing Model
Proprietary Commercial
—
Interface type
Graphical IDE (VS Code fork)
—
Primary Workflow(null)
Interactive in-editor coding
—
Pricing Model
Flat plan with request quota + usage add-ons
—
Agent name
Agent (formerly Composer)
—
Autocomplete engine
Cursor Tab model
—
Editor base
VS Code fork
—
Community size / momentum
Largest AI-IDE community and mindshare
—
Memory Usage (Idle)(MB)
450-600MB
—
Built-in Code Inspections(count)
~50 (via Claude AI)
—
Setup Time for New Users(minutes)
2-3
—
Learning Curve (1-10 Scale)(scale)
5/10 (new IDE)
—
Max Codebase Size (Recommended)(LOC)
500,000
—
Free Tier Monthly AI Requests(requests/month)
50 premium requests
—
Base Monthly Cost (Premium)(USD)
$20/month
—
Architecture
Electron (VS Code fork)
—
API Rate Limit (Standard Tier)(calls/hour)
Varies by plan (Pro tier higher)
—
Programming Languages Supported(count)
50+
—
Native Multi-user Collaboration(boolean)
No (via extensions only)
—
Extension Ecosystem Size(extensions available)
40,000+ (VS Code marketplace)
—
Input Types Supported
Code, text, file references
—
Codebase Context Indexing
Automatic full-project indexing
—
Public Launch Year(year)
2023
—
Pros & Cons
12 pros·6 cons across both
GC
C
GC
GitHub Copilot
+6-3
Pros
- Works in 15+ IDEs including VS Code, JetBrains, Visual Studio, and Neovim
- Affordable at $10/month or $100/year for individuals
- Free tier for verified students, teachers, and popular open-source maintainers
- Mature product with 4+ years of development and 5M+ users
- Seamless integration with existing development workflows
- GitHub Copilot for Business includes advanced security scanning and SAML support
Cons
- Limited context awareness beyond single file or visible code
- Cannot edit multiple files simultaneously across a project
- Requires existing IDE installation and setup
C
Cursor
+6-3
Pros
- Native multi-file awareness with project-wide context understanding
- Advanced refactoring with 'cmd+k' for complex changes across multiple files
- Choice of AI models: GPT-4o, Claude 3.5 Sonnet, Gemini Pro, and local models
- Standalone editor—no IDE switching or configuration needed
- Chat interface with code-to-editor integration for inline changes
- 20 free premium completions/month allows extended trial without payment
Cons
- Higher cost at $20/month (2x GitHub Copilot's price) for Pro tier
- Requires learning a new editor if switching from established IDE
- Smaller user base (1M+ vs 5M+ for Copilot) means fewer community resources
Frequently Asked Questions
5 questions
Yes. GitHub Copilot is an extension that works within your existing IDE—VS Code, JetBrains (IntelliJ, PyCharm, etc.), Visual Studio, Neovim, and 10+ others. You don't need to change your development environment.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
As an affiliate, we may earn a commission from qualifying purchases at no extra cost to you. Learn more about our affiliate disclosure
Wikipedia
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