software
Cursor vs GitHub Copilot 2026: AI IDE Comparison
Cursor is a full IDE built around AI with native multi-file editing and Claude integration, while GitHub Copilot is a code completion plugin that works within existing editors like VS Code. Cursor offers a more integrated AI-first experience, whereas Copilot provides broader editor compatibility and lower cost.
C
Cursor
VS Code-based IDE with deeply integrated Claude/GPT-4 AI for coding, chat, and refactoring.
Professional developers wanting an AI-centric workflow, teams doing large refactors, engineers needing superior code reasoning over speed
Score63%
VS
GC
GitHub Copilot
Industry-leading cloud-based AI coding assistant from GitHub/Microsoft with GPT-4 integration
Individual developers on budget, teams using mixed IDE environments, developers prioritizing completion speed over complex reasoning
Score63%
Quick Answer
AI SummaryCursor is a full IDE built around AI with native multi-file editing and Claude integration, while GitHub Copilot is a code completion plugin that works within existing editors like VS Code. Cursor offers a more integrated AI-first experience, whereas Copilot provides broader editor compatibility and lower cost.
Our Verdict
AI-assistedChoose Cursor if you want an AI-first development experience with superior multi-file context, Claude integration, and don't mind switching IDEs. Choose GitHub Copilot if you prefer flexibility across multiple editors, lower cost, unlimited free completions, or are deeply invested in your current IDE ecosystem.
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C
Cursor
6.6/10
GitHub Copilot
8.4/10
G
C
Choose Cursor if
Professional developers wanting an AI-centric workflow, teams doing large refactors, engineers needing superior code reasoning over speed
G
Choose GitHub Copilot if
Best pickIndividual developers on budget, teams using mixed IDE environments, developers prioritizing completion speed over complex reasoning
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Key Differences at a Glance
- Architecture:✓ GitHub Copilot wins(Extension/plugin for multiple editors vs Standalone IDE based on VS Code)
- AI Model Access:✓ Cursor wins(Claude 3.5 Sonnet (default), GPT-4o available vs GitHub Copilot (proprietary), GPT-4 Turbo)
- Multi-file Context:✓ Cursor wins(Native @-symbol codebase indexing across entire project vs Limited to current file + adjacent files)
Key Facts & Figures
155 numeric metrics compared
| Metric | Cursor | GitHub Copilot | Ratio |
|---|---|---|---|
| Interface Learning Curve(scale 1-10) | 3 (familiar) | — | — |
| IDE Integration Points(count) | VS Code-based only | 10+ IDEs | — |
| Free Trial Period(days) | 7 days | 30 days | |
| Agent Autonomy Level(scale 1-10) | 6 | — | — |
| Control Determinism(scale 1-10) | 9 | — | — |
| Paid plan (per user / month)(USD/mo) | Cursor Pro $20/mo | Copilot Pro $10/mo | |
| Business / team tier(USD/mo) | Business $40/user/mo | Business $19/user/mo (Enterprise $39) | |
| Entry price(USD/month) | ~$20/mo (Pro) | — | — |
| Pro Plan Price(USD/month) | $20/mo | — | — |
| Monthly Subscription Cost (Individual)(USD) | $20 | $10 | |
| Annual Subscription Cost(USD) | $120 | $100 | |
| Max Context Window(tokens) | 128,000 tokens | 128,000 tokens | |
| Free Tier Premium Requests Per Day(requests) | 2 (slow) | Unlimited completions | — |
| Free Chat Messages Per Month(messages) | 0 (paid tier required) | 50 | |
| Startup Time(milliseconds) | ~3000ms | — | — |
| Available Extensions(count (approx.)) | 10,000+ | Integration with VS Code | — |
| Memory Usage (Idle)(MB) | 450-600MB | — | — |
| Monthly Cost (Subscription)(USD) | $20 | — | — |
| Code Completion Latency(milliseconds) | 50-200ms (Tab autocomplete) | 150-250ms per suggestion | |
| Number of Supported AI Models(models) | Claude 3.5 Sonnet, GPT-4, Others | — | — |
| Estimated Daily Active Users(millions) | ~500K (estimated based on download trends) | — | — |
| Years Since Launch(years) | 1.5 years (launched Oct 2024) | 4+ years (2021) | |
| Base Subscription Cost (Monthly)(USD) | $20 | — | — |
| AI Context Window(K tokens) | 500K (Claude 3.5 Sonnet) | — | — |
| Built-in Code Inspections(count) | ~50 (via Claude AI) | — | — |
| Supported Languages (Official)(count) | 40+ | — | — |
| Setup Time for New Users(hours) | 2-3 | — | — |
| Max Codebase Size (Recommended)(LOC) | 500,000 | — | — |
| AI Monthly Cost (Unlimited)(USD) | $20/month | — | — |
| Free Tier Monthly AI Requests(requests/month) | 50 premium requests | — | — |
| Compatible Extensions(extensions) | 70,000+ (VS Code) | — | — |
| Supported LLMs (Built-in)(models) | 4+ (Claude, GPT-4, local) | — | — |
| Autocomplete Latency(milliseconds) | 250-400ms | — | — |
| Context Window Size(tokens) | 200,000 | 8,000 tokens | |
| Professional Tier Price(USD per month) | $20 | — | — |
| Supported Editors/IDEs(count) | 1 IDE only | 20+ IDEs | |
| Primary AI Model Quality (MMBENCH score)(points out of 100) | 88 (Claude 3.5) | — | — |
| Base Monthly Cost(USD) | $20 | — | — |
| Supported AI Models(count) | 3 models | GitHub Copilot (proprietary, Codex-based) | |
| IDE Compatibility(count) | 1 (Cursor only) | — | — |
| Code Context Window(tokens) | 8000-16000 | — | — |
| Real-time Suggestion Speed(ms latency) | 200-400 | — | — |
| Estimated Active Users(thousands) | 500 | — | — |
| Base Monthly Price(USD) | $20 | — | — |
| Number of Supported IDEs(count) | 1 (Cursor IDE only) | — | — |
| Max Context Window Size(KB) | 1000+ KB | — | — |
| Setup Time (Minutes)(minutes) | Immediate | — | — |
| Programming Languages Supported(languages) | 50+ | — | — |
| Monthly Subscription Cost (Pro Tier)(USD) | $20/month | — | — |
| Maximum Token Context Window(tokens) | 200,000 tokens | — | — |
| Extension Ecosystem Size(extensions) | 40,000+ (VS Code marketplace) | — | — |
| Setup Time (Fresh Installation)(minutes) | 5-10 minutes | — | — |
| Context Window(tokens) | 200,000 tokens | 8,000 tokens (~6,000 words) | |
| Monthly Subscription (Pro/Standard)(USD) | $20 | — | — |
| Code Completion Speed(seconds) | 1–3 seconds (avg inline suggestion) | — | — |
| Maximum Context Window(tokens) | 128,000 tokens | 8,000 | |
| Base Monthly Cost (Premium)(USD) | $20/month | — | — |
| Setup Time for Existing Users(minutes) | 60-120 minutes | — | — |
| Code Context Window Size(KB) | ~500KB+ codebase context | — | — |
| Learning Curve (1-10 scale)(difficulty level) | 5/10 (new IDE) | — | — |
| Monthly Cost (Individual Plan)(USD) | $20/month | $20/month | |
| AI Requests per Month (Pro Plan)(requests) | Unlimited | 100 chat prompts | — |
| Installation Time(minutes) | 7-10 minutes | 2-3 minutes | |
| Available AI Models(count) | 4+ (GPT-4o, Claude, Gemini, local) | 2 (GPT-4, GPT-4o) | |
| Free Trial Duration(days) | 0 (paid from start) | 2 days for new accounts | |
| Pro Tier Monthly Cost(USD) | $20 | — | — |
| Free Tier Monthly Requests(requests) | 50 requests/month | — | — |
| Supported Programming Languages | 50+ | 80+ languages | |
| IDE Integration Options(integrations) | 2 (VSCode + standalone) | — | — |
| Public Launch Year(year) | 2023 | — | — |
| Monthly Individual Cost(USD) | $20/month | $10/month | |
| Annual Individual Cost(USD) | $240/year | $100/year | |
| Supported IDEs/Platforms(count) | Standalone only | 15+ IDEs | |
| Free Tier Monthly Completions(completions) | 20 per month | 0 (students only) | |
| Active User Base(millions) | 1+ million | 5+ million | |
| Product Maturity (Years Active)(years) | 2 years | 4+ years | |
| Monthly Cost (Premium Tier)(USD) | $20/month | — | — |
| Free Tier Token Limit(tokens/month) | 100,000 tokens/month (Claude only) | — | — |
| Monthly Subscription Cost(USD) | $20 | $10 | |
| File Open Time (Large Projects)(milliseconds) | ~800ms | — | — |
| Memory Usage at Idle(MB) | ~600MB | — | — |
| AI Model Options(count) | 3 (GPT-4, Claude 3.5, o1-preview) | 2 (GPT-4, Claude) | |
| Language Support(number of languages) | 40+ | — | — |
| Monthly Subscription (Individual)(USD) | $20/month unlimited | — | — |
| Minimum RAM Required(GB) | 4GB (practical minimum) | — | — |
| Language Support (Native Optimization)(languages) | 30+ via extensions | — | — |
| Code Completion Accuracy (Benchmark)(%) | 82% (AI-assisted, broader context) | — | — |
| Startup Time (Cold Start)(seconds) | 2-3 seconds | — | — |
| Free Tier Autocomplete Limit(requests/month) | 2,000 | — | — |
| Pro Plan Monthly Cost(USD/user/month) | $20 | $20/month | |
| Supported IDE Count(IDEs) | 1 (Proprietary VS Code fork) | 6+ major IDEs | |
| Setup Time for First Use(minutes) | 10-15 | — | — |
| Pro Plan Monthly Request Limit(requests/month) | 50,000 | — | — |
| Monthly Cost (Business)(USD) | $19 | $19 | |
| IDE Support Count(IDEs) | 5 major IDEs | 5 major IDEs | |
| Code Completion Accuracy(percent) | 92% | 92% | |
| Average Code Completion Latency(milliseconds) | ~150ms | ~150ms | |
| Estimated Paid User Base(users) | ~1,200,000 | ~1,200,000 | |
| Code Completion Accuracy (HumanEval)(percentage) | ~56-62% | ~56-62% | |
| Free Tier Limit(users) | 180 code completions | 180 code completions | |
| Compatible Editors/IDEs(platforms) | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | |
| Response Latency (P50)(milliseconds) | ~1200ms average completion | ~1200ms average completion | |
| Base Cost(USD/month (for typical usage)) | $10/month individual, $19/month business | $10/month individual, $19/month business | |
| Native IDE Integrations(count) | 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) | 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) | |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | 1 (IDE-native, like autocomplete) | |
| Average Response Time for Code Suggestion(seconds) | 0.5-1 (inline suggestion) | 0.5-1 (inline suggestion) | |
| Code Completion Accuracy Rate(%) | 78% | 78% | |
| Average Suggestion Latency(milliseconds) | 280ms | 280ms | |
| Business Plan Annual Cost (per user)(USD) | $252/year | $252/year | |
| Monthly Cost (Individual)(USD) | $10/month | $10/month | |
| Annual Cost (1-Person Subscription)(USD) | $120 (monthly) or $100 (annual with 17% discount) | $120 (monthly) or $100 (annual with 17% discount) | |
| Average Response Latency(ms) | 1350ms | 1350ms | |
| IDE/Editor Integrations(integrations) | 40+ | 40+ | |
| Lines of Code per Suggestion(lines) | Up to 150 lines | Up to 150 lines | |
| Installation Size(MB) | ~15 MB extension | ~15 MB extension | |
| Global Developer Adoption(percent) | 27% of developers | 27% of developers | |
| Average Code Suggestion Time(seconds) | 2-5 seconds per suggestion | 2-5 seconds per suggestion | |
| Available Extensions/Integrations(count) | 5 IDE integrations | 5 IDE integrations | |
| Development Time Reduction(percent) | 20-40% faster on routine tasks | 20-40% faster on routine tasks | |
| IDE Support(count) | 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) | 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) | |
| User Base Size(millions) | 1.5+ million (GitHub official, 2024) | 1.5+ million (GitHub official, 2024) | |
| Single-Line Completion Accuracy(%) | 92% | 92% | |
| Developer Satisfaction Rate(%) | 91% | 91% | |
| Market Adoption Share(%) | 55% | 55% | |
| Active Users(users) | 27 million | 27 million | |
| Supported Development Environments(count) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | |
| IDE Integration Support | 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) | 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) | |
| Code Generation Accuracy (Python)(percent) | 72% correct on HumanEval benchmark | 72% correct on HumanEval benchmark | |
| Context Switching Overhead(seconds per interaction) | 2-5 seconds (in-editor, no switching) | 2-5 seconds (in-editor, no switching) | |
| IDE/Editor Support(count) | 15+ IDEs | 15+ IDEs | |
| Annual Cost (Individual Plan)(USD) | $100/year or $120 with GitHub Pro | $100/year or $120 with GitHub Pro | |
| Multi-Line Code Generation Accuracy(percent relevance) | 92% | 92% | |
| Single-Line Code Completion Accuracy(percent relevance) | 88% | 88% | |
| Free Tier Monthly Completion Limit(completions) | 2,000 completions | 2,000 completions | |
| Average Response Latency (Cloud)(milliseconds) | 340ms average | 340ms average | |
| Avg Code Completion Speed(seconds) | 0.75 | 0.75 | |
| Supported IDE Platforms(count) | 5 | 5 | |
| AI Provider Options(count) | 1 | 1 | |
| Training Data Size(repositories) | 250,000,000 | 250,000,000 | |
| Annual Cost(USD) | $100 | $100 | |
| Cost (Monthly)(USD) | $10 (Pro) or $0 (Limited) | $10 (Pro) or $0 (Limited) | |
| Developer Adoption(percent) | 37% | 37% | |
| Code Suggestion Accuracy(percent) | 57% | 57% | |
| Setup Time (First Use)(minutes) | 0.5 minutes | 0.5 minutes | |
| Supported Languages | 90+ languages | 90+ languages | |
| Coding Speed Improvement(percent) | 35-55% | 35-55% | |
| Response Time (Average)(ms) | 50-100ms per suggestion | 50-100ms per suggestion | |
| Monthly Cost (Single User)(USD) | Fixed $10 (Copilot Individual) or $19 (Copilot Pro) | Fixed $10 (Copilot Individual) or $19 (Copilot Pro) | |
| File Scope (Max Suggested Edit)(files) | Single file at a time | Single file at a time | |
| Context Window (Max Tokens)(tokens) | ~8,000 (estimated Copilot context) | ~8,000 (estimated Copilot context) | |
| Annual Cost per Developer(USD) | $100-120 | $100-120 | |
| Code Completion Acceptance Rate(%) | 87-92% | 87-92% | |
| Supported LLM Backends(count) | 2 proprietary models | 2 proprietary models | |
| GitHub Stars (Community Adoption)(stars) | 87,000 stars | 87,000 stars | |
| Project Launch Year(year) | 2021 | 2021 |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
C
3CursorGitHub Copilot leads
GC
4GitHub CopilotCursor
Attribute
GitHub Copilot
- Standalone IDE based on VS CodeArchitectureExtension/plugin for multiple editors(winner)
- Claude 3.5 Sonnet (default), GPT-4o available(winner)AI Model AccessGitHub Copilot (proprietary), GPT-4 Turbo
- Native @-symbol codebase indexing across entire project(winner)Multi-file ContextLimited to current file + adjacent files
- $20/month (Pro), $120/year (Pro annual)Starting Price (Monthly)$10/month (Individual), $100/year (Individual annual)(winner)
- Cursor only (proprietary fork of VS Code)Editor CompatibilityVS Code, JetBrains IDEs, Neovim, Visual Studio(winner)
- 200K tokens (128K context)(winner)Cursor Window Size (tokens)8K-32K tokens depending on model
- 2 slow premium requests/day in free tierFree Tier LimitationsUnlimited completions, 50 chat messages/month (free)(winner)
- Architecture
Cursor
Standalone IDE based on VS Code
GitHub Copilot
Extension/plugin for multiple editors(winner)
- AI Model Access
Cursor
Claude 3.5 Sonnet (default), GPT-4o available(winner)
GitHub Copilot
GitHub Copilot (proprietary), GPT-4 Turbo
- Multi-file Context
Cursor
Native @-symbol codebase indexing across entire project(winner)
GitHub Copilot
Limited to current file + adjacent files
- Starting Price (Monthly)
Cursor
$20/month (Pro), $120/year (Pro annual)
GitHub Copilot
$10/month (Individual), $100/year (Individual annual)(winner)
- Editor Compatibility
Cursor
Cursor only (proprietary fork of VS Code)
GitHub Copilot
VS Code, JetBrains IDEs, Neovim, Visual Studio(winner)
- Cursor Window Size (tokens)
Cursor
200K tokens (128K context)(winner)
GitHub Copilot
8K-32K tokens depending on model
- Free Tier Limitations
Cursor
2 slow premium requests/day in free tier
GitHub Copilot
Unlimited completions, 50 chat messages/month (free)(winner)
Full Comparison
| Attribute | Cursor | GitHub Copilot |
|---|---|---|
| Interface Learning Curve(scale 1-10) | 3 (familiar) | — |
| IDE Integration Points(count) | VS Code-based only | 10+ IDEs |
| Platform Availability(platforms) | Desktop (Mac, Windows, Linux) | — |
| Supported Editors/IDEs(count) | 1 IDE only | 20+ IDEs(winner) |
| Number of Supported IDEs(count) | 1 (Cursor IDE only) | — |
| Supported IDEs/Editors(count) | 1 (VS Code) | 4+ (VS Code, JetBrains, Visual Studio, Neovim)(winner) |
Show 6 more attributesIDE Integration Requirement VS Code only (or Cursor standalone IDE) — Supported IDE Count(IDEs) 1 (Proprietary VS Code fork) 6+ major IDEs IDE Support Count(IDEs) 5 major IDEs — Supported Development Environments(count) 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) — Supported IDE Platforms(count) 5 — Supported Languages 90+ languages — | ||
| Setup Time(hours) | 5-10 minutes | 2-3 minutes(winner) |
| Codebase Context Awareness(rating) | Excellent | Good |
| Inline Edit/Refactor(capability) | Native & Superior | Good |
| Model Flexibility(options) | 2 model choices | 3+ model choices |
| Max Context Window(tokens) | 128,000 tokens | 128,000 tokens |
| Default AI Model Quality (Reasoning) | Claude 3.5 Sonnet (Superior) | Copilot (GPT-based, Good) |
Show 5 more attributesMulti-File Project Understanding Native @-indexing across entire codebase Limited to current + adjacent files Max Context Window Size(KB) 1000+ KB — Available AI Models(count) 4+ (GPT-4o, Claude, Gemini, local) 2 (GPT-4, GPT-4o) Codebase Indexing(boolean) Yes, full project indexing No, single-file awareness Primary AI Model GPT-4o / o1 (OpenAI) — | ||
| Enterprise SSO Support | Limited | Yes |
| Community Size(active users) | Growing | Very Large |
| Enterprise Support | Community-based, limited official support | — |
| Free Trial Period(days) | 7 days | 30 days(winner) |
| Monthly Cost(USD) | $20 | — |
| Paid plan (per user / month)(USD/mo) | Cursor Pro $20/mo | Copilot Pro $10/mo(winner) |
| Business / team tier(USD/mo) | Business $40/user/mo | Business $19/user/mo (Enterprise $39)(winner) |
| Entry price(USD/month) | ~$20/mo (Pro) | — |
Show 40 more attributesRate limit style Monthly fast-request quota — Pro Plan Price(USD/month) $20/mo — Free tier Yes — free Hobby tier plus a 2-week Pro trial Free tier with limited completions/chat, plus free for verified students, teachers, and OSS maintainers Monthly Subscription Cost (Individual)(USD) $20 $10 Annual Subscription Cost(USD) $120 $100 Free Tier Premium Requests Per Day(requests) 2 (slow) Unlimited completions Free Chat Messages Per Month(messages) 0 (paid tier required) 50 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 — Free Tier Availability 14-day free trial 30-day trial only Monthly Subscription Cost (Pro Tier)(USD) $20/month — Monthly Subscription (Pro/Standard)(USD) $20 — Monthly Cost (Individual Plan)(USD) $20/month $20/month Pro Tier Monthly Cost(USD) $20 — Free Tier Monthly Requests(requests) 50 requests/month — Monthly Individual Cost(USD) $20/month $10/month Annual Individual Cost(USD) $240/year $100/year Free Tier Monthly Completions(completions) 20 per month 0 (students only) Monthly Cost (Premium Tier)(USD) $20/month — Free Tier Token Limit(tokens/month) 100,000 tokens/month (Claude only) — Monthly Subscription Cost(USD) $20 $10 Monthly Subscription (Individual)(USD) $20/month unlimited — Pro Plan Monthly Cost(USD/user/month) $20 $20/month 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 — 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 — Annual Cost (Individual Plan)(USD) $100/year or $120 with GitHub Pro — 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) — Annual Cost per Developer(USD) $100-120 — | ||
| Active Users (2026)(millions) | Not publicly disclosed | — |
| Estimated Daily Active Users(millions) | ~500K (estimated based on download trends) | — |
| Active User Base(millions) | 1+ million | 5+ million(winner) |
| Estimated Paid User Base(users) | ~1,200,000 | — |
| Active Users(users) | 27 million | — |
| Daily Code Lines Generated(millions) | Not disclosed | — |
| Token Efficiency(relative ratio) | Baseline (1.0x) | — |
| Code Quality (No-Edit Rate)(percent) | ~75% | — |
| Large-repo codebase indexing | Whole-repo semantic embeddings with automatic relevant-file retrieval; built for monorepos | Repository context, @workspace search, and Enterprise knowledge bases; less aggressive auto-indexing |
| Inline autocomplete latency | Very fast predictive Tab completions that jump to the next edit location | Very fast, low-latency completions; category pioneer and still excellent inline |
Show 26 more attributesStartup Time(milliseconds) ~3000ms — Code Completion Latency(milliseconds) 50-200ms (Tab autocomplete) 150-250ms per suggestion 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) — File Open Time (Large Projects)(milliseconds) ~800ms — Memory Usage at Idle(MB) ~600MB — Startup Time (Cold Start)(seconds) 2-3 seconds — Average Code Completion Latency(milliseconds) ~150ms — Code Completion Accuracy (HumanEval)(percentage) ~56-62% — Response Latency (P50)(milliseconds) ~1200ms average completion — 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 — Installation Size(MB) ~15 MB extension — Average Code Suggestion Time(seconds) 2-5 seconds per suggestion — Single-Line Completion Accuracy(%) 92% — 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) — Code Completion Acceptance Rate(%) 87-92% — | ||
| Fortune 500 Adoption Rate(%) | Significant but undisclosed | — |
| Enterprise / self-hosting | Mature enterprise tier with SSO + privacy mode | — |
| Enterprise SLA Support(boolean) | Yes (GitHub Enterprise available) | — |
| Security Certifications(count) | Enterprise-grade | — |
| Enterprise governance & IP indemnity | SSO, privacy mode (no retention/training), admin controls, SOC 2 | Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification |
| Data Privacy Model | Code sent to Anthropic servers | — |
| Privacy: Code Stored on Vendor Servers(boolean) | Yes (OpenAI servers) | — |
| Data Privacy (Local Execution)(text) | Cloud-only, data sent to servers | — |
| Base Technology | VS Code fork | — |
| IDE model | Standalone editor — a fork of VS Code (install Cursor itself) | Plugin/extension installed into your existing IDE |
| Base on VS Code(boolean) | Yes | — |
| Standalone IDE Capability | Plugin only (requires VS Code/JetBrains) | — |
| Agent Autonomy Level(scale 1-10) | 6 | — |
| Control Determinism(scale 1-10) | 9 | — |
| Multi-line Tab Autocomplete | Native support | — |
| AI Context Window(K tokens) | 500K (Claude 3.5 Sonnet) | — |
| Supported LLMs (Built-in)(models) | 4+ (Claude, GPT-4, local) | — |
| Interface Type | Full IDE | — |
| Setup Complexity | 1-2 steps (download IDE)(winner) | 2–5 min (GitHub sign-in) |
| Setup Time for First Use(minutes) | 10-15 | — |
| Setup Time(minutes) | <5 minutes | — |
| Licensing Model | Proprietary Commercial | — |
| IDE Feature Completeness(score) | 10/10 | — |
| Agent / multi-file editing | Composer (Agent) plan-execute-verify loop across many files; runs commands and tests | Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor |
| Built-in AI Features | Native Claude integration | — |
| Offline Functionality(percent) | Limited (chat requires internet) | — |
| Native Multiplayer Collaboration | No | — |
Show 17 more attributesSupported AI Models(count) 3 models GitHub Copilot (proprietary, Codex-based) Multi-File Editing Native support — Programming Languages Supported(languages) 50+ — IDE Integration Native VS Code-based editor — Supported Programming Languages 50+ 80+ languages Multi-file Context Editing Native (full project) Limited (single file) Real-Time Code Collaboration Liveshare integration included — Built-in Collaboration Via extension — Primary AI Models Available(model options) Claude 3.5 Sonnet (default) + GPT-4o (configurable) — Chat Context Window(capability level) Advanced multi-tab with @files, @docs, @web references — 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 — Git Integration(null) None: requires manual git commands outside Copilot — Chat & Code Explanation Feature Available in all tiers — Supported LLM Backends(count) 2 proprietary models — | ||
| Customization Freedom(score) | 6/10 | — |
| AI Provider Options(count) | 1 | — |
| Model Customization | No: GitHub Copilot model is fixed and proprietary | — |
| Selectable AI models | Anthropic Claude, OpenAI GPT, Google Gemini, plus Cursor fast models (per-request switching) | Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent) |
| Model choice | Multi-model (Claude, GPT, Gemini, etc.) | — |
| Frontier models available | Claude, GPT, Gemini families (frequent day-one additions) | — |
| Interface type | Graphical IDE (VS Code fork) | — |
| Primary Workflow(null) | Interactive in-editor coding | — |
| Pricing Model | Flat plan with request quota + usage add-ons | — |
| Headless / CI automation | Not designed for it | — |
| Codebase context | Workspace indexing + @-mentions | — |
| Best for | Interactive feature building & quick edits | — |
| Context Switching Overhead(seconds per interaction) | 2-5 seconds (in-editor, no switching) | — |
| Learning Curve(hours) | Low (VS Code familiarity) | Minimal (extension) |
| Setup Time (Minutes)(minutes) | Immediate | — |
| Setup Time (Fresh Installation)(minutes) | 5-10 minutes | — |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | — |
| Setup Time (First Use)(minutes) | 0.5 minutes | — |
| Agent name | Agent (formerly Composer) | — |
| Autocomplete engine | Cursor Tab model | — |
| Editor base | VS Code fork | — |
| Community size / momentum | Largest AI-IDE community and mindshare | — |
| Platform Support(platforms) | macOS, Windows, Linux | — |
| Compatible Editors | Cursor only | VS Code, JetBrains, Neovim, Visual Studio, Sublime(winner) |
| IDE Compatibility(count) | 1 (Cursor only) | — |
| Supported IDEs/Platforms(count) | Standalone only | 15+ IDEs(winner) |
| Native GitHub Integration | Deep (PR, commits, issues) | — |
| Compatible Editors/IDEs(platforms) | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | — |
Show 5 more attributesNative IDE Integrations(count) 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) — IDE Support(count) 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) — IDE Integration Support 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) — IDE/Editor Support(count) 15+ IDEs — AWS Service Integration Limited (generic suggestions) — | ||
| Available Extensions(count (approx.)) | 10,000+ | Integration with VS Code |
| Compatible Extensions(extensions) | 70,000+ (VS Code) | — |
| IDE Integration Options(integrations) | 2 (VSCode + standalone) | — |
| Memory Usage (Idle)(MB) | 450-600MB | — |
| Number of Supported AI Models(models) | Claude 3.5 Sonnet, GPT-4, Others | — |
| Max File Size for Analysis(megabytes) | Entire projects (no hard limit) | — |
| Maximum Context Window(tokens) | 128,000 tokens(winner) | 8,000 |
| Maximum Codebase Context Window(files) | ~5-10 visible files in editor | — |
| Multi-File Autonomous Editing(capability) | No—suggestions only, manual edit required | — |
Show 1 more attributeFile Scope (Max Suggested Edit)(files) Single file at a time — | ||
| Years Since Launch(years) | 1.5 years (launched Oct 2024) | 4+ years (2021)(winner) |
| Project Launch Year(year) | 2021 | — |
| Built-in Code Inspections(count) | ~50 (via Claude AI) | — |
| Supported Languages (Official)(count) | 40+ | — |
| Language Support (Native Optimization)(languages) | 30+ via extensions | — |
| Setup Time for New Users(hours) | 2-3 | — |
| Installation Complexity(steps) | Download .dmg/.exe (1-click installer) | — |
| Max Codebase Size (Recommended)(LOC) | 500,000 | — |
| Free Tier Monthly AI Requests(requests/month) | 50 premium requests | — |
| Base Monthly Cost (Premium)(USD) | $20/month | — |
| Free Tier Monthly Completion Limit(completions) | 2,000 completions | — |
| Architecture | Electron (VS Code fork) | — |
| API Rate Limit (Standard Tier)(calls/hour) | Varies by plan (Pro tier higher) | — |
| Context Window Size(tokens) | 200,000(winner) | 8,000 tokens |
| Maximum Token Context Window(tokens) | 200,000 tokens | — |
| Agentic Workflow Capability(boolean) | Limited (basic) | — |
| Code Context Window Size(KB) | ~500KB+ codebase context | — |
| Primary AI Model (Free) | Claude 3.5 Sonnet + GPT-4 | — |
Show 2 more attributesMulti-file Refactoring Support Full native support — Agentic Task Execution Suggestion-based only, no autonomous execution — | ||
| Multi-file Context Support(files) | Advanced (full workspace) | — |
| Primary AI Model Quality (MMBENCH score)(points out of 100) | 88 (Claude 3.5) | — |
| Code Suggestion Accuracy(percent) | 57% | — |
| Open-Source | No (proprietary) | — |
| Local Model Support(boolean) | No | — |
| 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) | — |
Show 1 more attributeData Processing Location Cloud (GitHub servers) — | ||
| Estimated Active Users(thousands) | 500 | — |
| GitHub Stars (Community Adoption)(stars) | 87,000 stars | — |
| Native Multi-user Collaboration(boolean) | No (via extensions only) | — |
| Extension Ecosystem Size(extensions) | 40,000+ (VS Code marketplace) | — |
| Context Window(tokens) | 200,000 tokens(winner) | 8,000 tokens (~6,000 words) |
| Input Types Supported | Code, text, file references | — |
| Language Support(number of languages) | 40+ | — |
| Codebase Context Indexing | Automatic full-project indexing | — |
| Available on Mobile | No native mobile app | — |
| Offline Capability(functionality) | No (cloud-only) | — |
| Free Tier Available | Yes (GitHub Copilot Free) | — |
| Setup Time for Existing Users(minutes) | 60-120 minutes | — |
| Free Trial Duration(days) | 0 (paid from start) | 2 days for new accounts(winner) |
| Learning Curve (1-10 scale)(difficulty level) | 5/10 (new IDE) | — |
| AI Requests per Month (Pro Plan)(requests) | Unlimited | 100 chat prompts |
| Installation Time(minutes) | 7-10 minutes | 2-3 minutes(winner) |
| Public Launch Year(year) | 2023 | — |
| Product Maturity (Years Active)(years) | 2 years | 4+ years(winner) |
| Local Git Integration(boolean) | Yes (native support) | — |
| GitHub Stars(stars) | Proprietary (not public) | — |
| AI Model Options(count) | 3 (GPT-4, Claude 3.5, o1-preview)(winner) | 2 (GPT-4, Claude) |
| Minimum RAM Required(GB) | 4GB (practical minimum) | — |
| Code Completion Accuracy (Benchmark)(%) | 82% (AI-assisted, broader context) | — |
| Code Completion Accuracy(percent) | 92% | — |
| Built-in Refactoring Tools(advanced transformations) | Basic rename, extract, inline via extensions | — |
| Offline Support(boolean) | Yes (cached models) | — |
| Code Execution Environment(type) | Local machine only | — |
| Free Tier Autocomplete Limit(requests/month) | 2,000 | — |
| Pro Plan Monthly Request Limit(requests/month) | 50,000 | — |
| On-Premise Deployment | Not available | — |
| Self-Hosted Enterprise Option | Not available | — |
| Training Data Recency | October 2023 (~27 months old) | — |
| Training Data Cutoff(month/year) | April 2024 | — |
| AI Model Provider | OpenAI GPT-4 / Anthropic Claude | — |
| GitHub Integration Depth(null) | Native PR reviews, CLI, GitHub.dev, Copilot X | — |
| Global Developer Adoption(percent) | 27% of developers | — |
| Development Time Reduction(percent) | 20-40% faster on routine tasks | — |
| Coding Speed Improvement(percent) | 35-55% | — |
| User Base Size(millions) | 1.5+ million (GitHub official, 2024) | — |
| Developer Adoption(percent) | 37% | — |
| Developer Satisfaction Rate(%) | 91% | — |
| Market Adoption Share(%) | 55% | — |
| Knowledge Cutoff Date | April 2024 | — |
| Code Generation Accuracy (Python)(percent) | 72% correct on HumanEval benchmark | — |
| Training Data Cutoff Date | April 2024 | — |
| Built-in Security Scanning | Limited (logs code references) | — |
| Local Processing Capability | Cloud-only | — |
| Training Data Size(repositories) | 250,000,000 | — |
| Self-Hosted Deployment | Not available | — |
| Enterprise Security Certifications(count) | SOC 2 Type II, ISO 27001 | — |
CCursor
GGitHub Copilot
Interface Learning Curve(scale 1-10)
3 (familiar)
—
IDE Integration Points(count)
VS Code-based only
10+ IDEs
Platform Availability(platforms)
Desktop (Mac, Windows, Linux)
—
Supported Editors/IDEs(count)
1 IDE only
20+ IDEs
Number of Supported IDEs(count)
1 (Cursor IDE only)
—
Supported IDEs/Editors(count)
1 (VS Code)
4+ (VS Code, JetBrains, Visual Studio, Neovim)
Show 6 more attributes
IDE Integration Requirement
VS Code only (or Cursor standalone IDE)
—
Supported IDE Count(IDEs)
1 (Proprietary VS Code fork)
6+ major IDEs
IDE Support Count(IDEs)
5 major IDEs
—
Supported Development Environments(count)
10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.)
—
Supported IDE Platforms(count)
5
—
Supported Languages
90+ languages
—
Setup Time(hours)
5-10 minutes
2-3 minutes
Codebase Context Awareness(rating)
Excellent
Good
Inline Edit/Refactor(capability)
Native & Superior
Good
Model Flexibility(options)
2 model choices
3+ model choices
Max Context Window(tokens)
128,000 tokens
128,000 tokens
Default AI Model Quality (Reasoning)
Claude 3.5 Sonnet (Superior)
Copilot (GPT-based, Good)
Show 5 more attributes
Multi-File Project Understanding
Native @-indexing across entire codebase
Limited to current + adjacent files
Max Context Window Size(KB)
1000+ KB
—
Available AI Models(count)
4+ (GPT-4o, Claude, Gemini, local)
2 (GPT-4, GPT-4o)
Codebase Indexing(boolean)
Yes, full project indexing
No, single-file awareness
Primary AI Model
GPT-4o / o1 (OpenAI)
—
Enterprise SSO Support
Limited
Yes
Community Size(active users)
Growing
Very Large
Enterprise Support
Community-based, limited official support
—
Free Trial Period(days)
7 days
30 days
Monthly Cost(USD)
$20
—
Paid plan (per user / month)(USD/mo)
Cursor Pro $20/mo
Copilot Pro $10/mo
Business / team tier(USD/mo)
Business $40/user/mo
Business $19/user/mo (Enterprise $39)
Entry price(USD/month)
~$20/mo (Pro)
—
Show 40 more attributes
Rate limit style
Monthly fast-request quota
—
Pro Plan Price(USD/month)
$20/mo
—
Free tier
Yes — free Hobby tier plus a 2-week Pro trial
Free tier with limited completions/chat, plus free for verified students, teachers, and OSS maintainers
Monthly Subscription Cost (Individual)(USD)
$20
$10
Annual Subscription Cost(USD)
$120
$100
Free Tier Premium Requests Per Day(requests)
2 (slow)
Unlimited completions
Free Chat Messages Per Month(messages)
0 (paid tier required)
50
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
—
Free Tier Availability
14-day free trial
30-day trial only
Monthly Subscription Cost (Pro Tier)(USD)
$20/month
—
Monthly Subscription (Pro/Standard)(USD)
$20
—
Monthly Cost (Individual Plan)(USD)
$20/month
$20/month
Pro Tier Monthly Cost(USD)
$20
—
Free Tier Monthly Requests(requests)
50 requests/month
—
Monthly Individual Cost(USD)
$20/month
$10/month
Annual Individual Cost(USD)
$240/year
$100/year
Free Tier Monthly Completions(completions)
20 per month
0 (students only)
Monthly Cost (Premium Tier)(USD)
$20/month
—
Free Tier Token Limit(tokens/month)
100,000 tokens/month (Claude only)
—
Monthly Subscription Cost(USD)
$20
$10
Monthly Subscription (Individual)(USD)
$20/month unlimited
—
Pro Plan Monthly Cost(USD/user/month)
$20
$20/month
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
—
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
—
Annual Cost (Individual Plan)(USD)
$100/year or $120 with GitHub Pro
—
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)
—
Annual Cost per Developer(USD)
$100-120
—
Active Users (2026)(millions)
Not publicly disclosed
—
Estimated Daily Active Users(millions)
~500K (estimated based on download trends)
—
Active User Base(millions)
1+ million
5+ million
Estimated Paid User Base(users)
~1,200,000
—
Active Users(users)
27 million
—
Daily Code Lines Generated(millions)
Not disclosed
—
Token Efficiency(relative ratio)
Baseline (1.0x)
—
Code Quality (No-Edit Rate)(percent)
~75%
—
Large-repo codebase indexing
Whole-repo semantic embeddings with automatic relevant-file retrieval; built for monorepos
Repository context, @workspace search, and Enterprise knowledge bases; less aggressive auto-indexing
Inline autocomplete latency
Very fast predictive Tab completions that jump to the next edit location
Very fast, low-latency completions; category pioneer and still excellent inline
Show 26 more attributes
Startup Time(milliseconds)
~3000ms
—
Code Completion Latency(milliseconds)
50-200ms (Tab autocomplete)
150-250ms per suggestion
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)
—
File Open Time (Large Projects)(milliseconds)
~800ms
—
Memory Usage at Idle(MB)
~600MB
—
Startup Time (Cold Start)(seconds)
2-3 seconds
—
Average Code Completion Latency(milliseconds)
~150ms
—
Code Completion Accuracy (HumanEval)(percentage)
~56-62%
—
Response Latency (P50)(milliseconds)
~1200ms average completion
—
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
—
Installation Size(MB)
~15 MB extension
—
Average Code Suggestion Time(seconds)
2-5 seconds per suggestion
—
Single-Line Completion Accuracy(%)
92%
—
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)
—
Code Completion Acceptance Rate(%)
87-92%
—
Fortune 500 Adoption Rate(%)
Significant but undisclosed
—
Enterprise / self-hosting
Mature enterprise tier with SSO + privacy mode
—
Enterprise SLA Support(boolean)
Yes (GitHub Enterprise available)
—
Security Certifications(count)
Enterprise-grade
—
Enterprise governance & IP indemnity
SSO, privacy mode (no retention/training), admin controls, SOC 2
Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification
Data Privacy Model
Code sent to Anthropic servers
—
Privacy: Code Stored on Vendor Servers(boolean)
Yes (OpenAI servers)
—
Data Privacy (Local Execution)(text)
Cloud-only, data sent to servers
—
Base Technology
VS Code fork
—
IDE model
Standalone editor — a fork of VS Code (install Cursor itself)
Plugin/extension installed into your existing IDE
Base on VS Code(boolean)
Yes
—
Standalone IDE Capability
Plugin only (requires VS Code/JetBrains)
—
Agent Autonomy Level(scale 1-10)
6
—
Control Determinism(scale 1-10)
9
—
Multi-line Tab Autocomplete
Native support
—
AI Context Window(K tokens)
500K (Claude 3.5 Sonnet)
—
Supported LLMs (Built-in)(models)
4+ (Claude, GPT-4, local)
—
Interface Type
Full IDE
—
Setup Complexity
1-2 steps (download IDE)
2–5 min (GitHub sign-in)
Setup Time for First Use(minutes)
10-15
—
Setup Time(minutes)
<5 minutes
—
Licensing Model
Proprietary Commercial
—
IDE Feature Completeness(score)
10/10
—
Agent / multi-file editing
Composer (Agent) plan-execute-verify loop across many files; runs commands and tests
Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor
Built-in AI Features
Native Claude integration
—
Offline Functionality(percent)
Limited (chat requires internet)
—
Native Multiplayer Collaboration
No
—
Show 17 more attributes
Supported AI Models(count)
3 models
GitHub Copilot (proprietary, Codex-based)
Multi-File Editing
Native support
—
Programming Languages Supported(languages)
50+
—
IDE Integration
Native VS Code-based editor
—
Supported Programming Languages
50+
80+ languages
Multi-file Context Editing
Native (full project)
Limited (single file)
Real-Time Code Collaboration
Liveshare integration included
—
Built-in Collaboration
Via extension
—
Primary AI Models Available(model options)
Claude 3.5 Sonnet (default) + GPT-4o (configurable)
—
Chat Context Window(capability level)
Advanced multi-tab with @files, @docs, @web references
—
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
—
Git Integration(null)
None: requires manual git commands outside Copilot
—
Chat & Code Explanation Feature
Available in all tiers
—
Supported LLM Backends(count)
2 proprietary models
—
Customization Freedom(score)
6/10
—
AI Provider Options(count)
1
—
Model Customization
No: GitHub Copilot model is fixed and proprietary
—
Selectable AI models
Anthropic Claude, OpenAI GPT, Google Gemini, plus Cursor fast models (per-request switching)
Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent)
Model choice
Multi-model (Claude, GPT, Gemini, etc.)
—
Frontier models available
Claude, GPT, Gemini families (frequent day-one additions)
—
Interface type
Graphical IDE (VS Code fork)
—
Primary Workflow(null)
Interactive in-editor coding
—
Pricing Model
Flat plan with request quota + usage add-ons
—
Headless / CI automation
Not designed for it
—
Codebase context
Workspace indexing + @-mentions
—
Best for
Interactive feature building & quick edits
—
Context Switching Overhead(seconds per interaction)
2-5 seconds (in-editor, no switching)
—
Learning Curve(hours)
Low (VS Code familiarity)
Minimal (extension)
Setup Time (Minutes)(minutes)
Immediate
—
Setup Time (Fresh Installation)(minutes)
5-10 minutes
—
Learning Curve (1=easy, 5=hard)(score)
1 (IDE-native, like autocomplete)
—
Setup Time (First Use)(minutes)
0.5 minutes
—
Agent name
Agent (formerly Composer)
—
Autocomplete engine
Cursor Tab model
—
Editor base
VS Code fork
—
Community size / momentum
Largest AI-IDE community and mindshare
—
Platform Support(platforms)
macOS, Windows, Linux
—
Compatible Editors
Cursor only
VS Code, JetBrains, Neovim, Visual Studio, Sublime
IDE Compatibility(count)
1 (Cursor only)
—
Supported IDEs/Platforms(count)
Standalone only
15+ IDEs
Native GitHub Integration
Deep (PR, commits, issues)
—
Compatible Editors/IDEs(platforms)
15+ editors (VS Code, JetBrains, Vim, Neovim, etc.)
—
Show 5 more attributes
Native IDE Integrations(count)
5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim)
—
IDE Support(count)
4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta)
—
IDE Integration Support
8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.)
—
IDE/Editor Support(count)
15+ IDEs
—
AWS Service Integration
Limited (generic suggestions)
—
Available Extensions(count (approx.))
10,000+
Integration with VS Code
Compatible Extensions(extensions)
70,000+ (VS Code)
—
IDE Integration Options(integrations)
2 (VSCode + standalone)
—
Memory Usage (Idle)(MB)
450-600MB
—
Number of Supported AI Models(models)
Claude 3.5 Sonnet, GPT-4, Others
—
Max File Size for Analysis(megabytes)
Entire projects (no hard limit)
—
Maximum Context Window(tokens)
128,000 tokens
8,000
Maximum Codebase Context Window(files)
~5-10 visible files in editor
—
Multi-File Autonomous Editing(capability)
No—suggestions only, manual edit required
—
Show 1 more attribute
File Scope (Max Suggested Edit)(files)
Single file at a time
—
Years Since Launch(years)
1.5 years (launched Oct 2024)
4+ years (2021)
Project Launch Year(year)
2021
—
Built-in Code Inspections(count)
~50 (via Claude AI)
—
Supported Languages (Official)(count)
40+
—
Language Support (Native Optimization)(languages)
30+ via extensions
—
Setup Time for New Users(hours)
2-3
—
Installation Complexity(steps)
Download .dmg/.exe (1-click installer)
—
Max Codebase Size (Recommended)(LOC)
500,000
—
Free Tier Monthly AI Requests(requests/month)
50 premium requests
—
Base Monthly Cost (Premium)(USD)
$20/month
—
Free Tier Monthly Completion Limit(completions)
2,000 completions
—
Architecture
Electron (VS Code fork)
—
API Rate Limit (Standard Tier)(calls/hour)
Varies by plan (Pro tier higher)
—
Context Window Size(tokens)
200,000
8,000 tokens
Maximum Token Context Window(tokens)
200,000 tokens
—
Agentic Workflow Capability(boolean)
Limited (basic)
—
Code Context Window Size(KB)
~500KB+ codebase context
—
Primary AI Model (Free)
Claude 3.5 Sonnet + GPT-4
—
Show 2 more attributes
Multi-file Refactoring Support
Full native support
—
Agentic Task Execution
Suggestion-based only, no autonomous execution
—
Multi-file Context Support(files)
Advanced (full workspace)
—
Primary AI Model Quality (MMBENCH score)(points out of 100)
88 (Claude 3.5)
—
Code Suggestion Accuracy(percent)
57%
—
Open-Source
No (proprietary)
—
Local Model Support(boolean)
No
—
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)
—
Show 1 more attribute
Data Processing Location
Cloud (GitHub servers)
—
Estimated Active Users(thousands)
500
—
GitHub Stars (Community Adoption)(stars)
87,000 stars
—
Native Multi-user Collaboration(boolean)
No (via extensions only)
—
Extension Ecosystem Size(extensions)
40,000+ (VS Code marketplace)
—
Context Window(tokens)
200,000 tokens
8,000 tokens (~6,000 words)
Input Types Supported
Code, text, file references
—
Language Support(number of languages)
40+
—
Codebase Context Indexing
Automatic full-project indexing
—
Available on Mobile
No native mobile app
—
Offline Capability(functionality)
No (cloud-only)
—
Free Tier Available
Yes (GitHub Copilot Free)
—
Setup Time for Existing Users(minutes)
60-120 minutes
—
Free Trial Duration(days)
0 (paid from start)
2 days for new accounts
Learning Curve (1-10 scale)(difficulty level)
5/10 (new IDE)
—
AI Requests per Month (Pro Plan)(requests)
Unlimited
100 chat prompts
Installation Time(minutes)
7-10 minutes
2-3 minutes
Public Launch Year(year)
2023
—
Product Maturity (Years Active)(years)
2 years
4+ years
Local Git Integration(boolean)
Yes (native support)
—
GitHub Stars(stars)
Proprietary (not public)
—
AI Model Options(count)
3 (GPT-4, Claude 3.5, o1-preview)
2 (GPT-4, Claude)
Minimum RAM Required(GB)
4GB (practical minimum)
—
Code Completion Accuracy (Benchmark)(%)
82% (AI-assisted, broader context)
—
Code Completion Accuracy(percent)
92%
—
Built-in Refactoring Tools(advanced transformations)
Basic rename, extract, inline via extensions
—
Offline Support(boolean)
Yes (cached models)
—
Code Execution Environment(type)
Local machine only
—
Free Tier Autocomplete Limit(requests/month)
2,000
—
Pro Plan Monthly Request Limit(requests/month)
50,000
—
On-Premise Deployment
Not available
—
Self-Hosted Enterprise Option
Not available
—
Training Data Recency
October 2023 (~27 months old)
—
Training Data Cutoff(month/year)
April 2024
—
AI Model Provider
OpenAI GPT-4 / Anthropic Claude
—
GitHub Integration Depth(null)
Native PR reviews, CLI, GitHub.dev, Copilot X
—
Global Developer Adoption(percent)
27% of developers
—
Development Time Reduction(percent)
20-40% faster on routine tasks
—
Coding Speed Improvement(percent)
35-55%
—
User Base Size(millions)
1.5+ million (GitHub official, 2024)
—
Developer Adoption(percent)
37%
—
Developer Satisfaction Rate(%)
91%
—
Market Adoption Share(%)
55%
—
Knowledge Cutoff Date
April 2024
—
Code Generation Accuracy (Python)(percent)
72% correct on HumanEval benchmark
—
Training Data Cutoff Date
April 2024
—
Built-in Security Scanning
Limited (logs code references)
—
Local Processing Capability
Cloud-only
—
Training Data Size(repositories)
250,000,000
—
Self-Hosted Deployment
Not available
—
Enterprise Security Certifications(count)
SOC 2 Type II, ISO 27001
—
Pros & Cons
10 pros·6 cons across both
C
GC
C
Cursor
+5-3
Pros
- 200K token context window with codebase-wide @-symbol indexing for understanding entire projects
- Native integration with Claude 3.5 Sonnet (superior reasoning for complex tasks)
- Built-in diff editing and multi-file refactoring within single interface
- Tab autocomplete with 2-4x faster than Copilot per user reports
- Cursor agents feature enables autonomous multi-step code generation
Cons
- Requires switching from existing VS Code setup (proprietary fork, not compatible)
- Premium features limited to $20/month tier with only 2 slow requests/day on free plan
- Smaller ecosystem with fewer extensions compared to VS Code marketplace
GC
GitHub Copilot
+5-3
Pros
- Works in 4+ editors (VS Code, JetBrains, Neovim, Visual Studio) without switching IDEs
- Unlimited free completions (no daily limits on free tier)
- Lower cost at $10/month or $100/year for individuals
- Mature product with 2+ years of real-world deployment at scale
- 50 free chat messages/month and inline code explanations at no extra cost
Cons
- Limited context window (8K-32K tokens) makes multi-file understanding difficult for large projects
- Completions focus on speed over reasoning quality compared to Claude-based systems
- Chat functionality more basic than Cursor's agents or specialized prompting
Frequently Asked Questions
5 questions
Yes. GitHub Copilot is an extension that installs into VS Code (and other editors) while keeping your current setup intact. Cursor is a separate IDE, so switching requires moving your entire workflow. This is a major advantage for Copilot if editor switching costs are high.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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Wikipedia
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