software
Continue vs GitHub Copilot 2026: Privacy vs Accuracy
GitHub Copilot is a closed-source, cloud-based AI coding assistant from Microsoft with GPT-4 integration, while Continue is an open-source, locally-runnable IDE plugin that supports multiple LLM backends including Claude, Llama, and Mistral. Continue offers more flexibility and privacy, while Copilot offers tighter GitHub integration and more mature features.
C
Continue
Open-source AI code assistant supporting multiple LLM backends with local-first privacy
Privacy-focused developers, enterprises with data sensitivity requirements, teams using non-OpenAI models, and budget-conscious organizations
Score71%
VS
GC
GitHub Copilot
Industry-leading cloud-based AI coding assistant from GitHub/Microsoft with GPT-4 integration
GitHub-centric teams, enterprises prioritizing accuracy, organizations with budget for development tools, and those needing comprehensive enterprise support
Score71%
Quick Answer
AI SummaryGitHub Copilot is a closed-source, cloud-based AI coding assistant from Microsoft with GPT-4 integration, while Continue is an open-source, locally-runnable IDE plugin that supports multiple LLM backends including Claude, Llama, and Mistral. Continue offers more flexibility and privacy, while Copilot offers tighter GitHub integration and more mature features.
Our Verdict
AI-assistedChoose Continue if you prioritize cost savings, data privacy, and flexibility across multiple LLMs — ideal for privacy-conscious developers, enterprises with security requirements, or those using non-OpenAI models. Choose GitHub Copilot if you want the most accurate completions, seamless GitHub integration, native IDE support, and mature enterprise features — best for GitHub-centric teams and those prioritizing accuracy over cost.
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C
Continue
7.8/10
GitHub Copilot
7.2/10
G
C
Choose Continue if
Best pickPrivacy-focused developers, enterprises with data sensitivity requirements, teams using non-OpenAI models, and budget-conscious organizations
G
Choose GitHub Copilot if
GitHub-centric teams, enterprises prioritizing accuracy, organizations with budget for development tools, and those needing comprehensive enterprise support
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Key Differences at a Glance
- Pricing Model:✓ Continue wins(Free (open-source) or self-hosted vs $10/month or $100/year per user)
- LLM Flexibility:✓ Continue wins(Supports 15+ models (Claude, Llama, Mistral, local models) vs Proprietary GPT-4 and GPT-3.5 Turbo only)
- Data Privacy:✓ Continue wins(Can run 100% locally, no data sent to cloud vs Sends code snippets to GitHub/Microsoft servers)
Key Facts & Figures
118 numeric metrics compared
| Metric | Continue | GitHub Copilot | Ratio |
|---|---|---|---|
| Initial Setup Time(hours) | 10-20 (API key + config required) | — | — |
| Autocomplete Latency(milliseconds) | 200-500ms average | — | — |
| Context Window Size(tokens) | Up to 100,000+ tokens | 8,000 tokens | |
| Supported IDEs Count(IDEs) | VS Code, JetBrains suite, Vim, Neovim (4 major platforms) | — | — |
| Paid Plan Monthly Cost(USD) | Free (optional donations for commercial use) | — | — |
| Programming Languages Supported(languages) | 50+ (with LLM-dependent support) | — | — |
| Base Cost (Monthly)(USD) | $0 (self-hosted) | — | — |
| Supported IDE Count(count) | 5 major IDEs | 6+ major IDEs | |
| GitHub Stars (as of 2026)(stars) | 13,000+ | — | — |
| Monthly Cost (Individual)(USD) | Free (+ API costs) | $10/month | |
| AI Model Options(count) | 5+ (Claude, GPT-4, Llama 2, custom, local) | 2 (GPT-4, Claude) | |
| IDE Support(count) | 4 major (VS Code, JetBrains, Vim, Web) | 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) | |
| Base Monthly Cost(USD) | Free | — | — |
| Supported AI Models(count) | 6+ (Claude, GPT-4, Ollama, local) | GitHub Copilot (proprietary, Codex-based) | |
| IDE Compatibility(count) | 5+ (VS Code, JetBrains, Vim) | — | — |
| Code Context Window(tokens) | 8000-200000 (model-dependent) | — | — |
| Real-time Suggestion Speed(ms latency) | 400-800 | — | — |
| Estimated Active Users(thousands) | 150 | — | — |
| User Base Size(millions) | ~0.05 million (2025 estimate) | 1.5+ million (GitHub official, 2024) | |
| Code Completion Latency(milliseconds) | 800-1200 | 150-250ms per suggestion | |
| Number of Supported IDEs(count) | 4 | — | — |
| Time to First Response (Small Prompt)(seconds) | 2-5 sec (Claude/GPT-4) | — | — |
| Monthly Cost at Heavy Usage(USD) | $50-150 for power users | — | — |
| Available Models(count) | 10+ providers supported | — | — |
| Minimum RAM Requirement(GB) | 8GB minimum (16GB recommended) | — | — |
| Setup Time to First Use(minutes) | 15-30 minutes (model download + config) | — | — |
| Average Code Completion Time(seconds) | 5-15 seconds (hardware-dependent) | — | — |
| IDE Platform Support Count(platforms) | 4 major platforms (VS Code, JetBrains, Vim, Neovim) | — | — |
| Pro Plan Monthly Cost(USD) | $0 (open-source) or hosted option available | $20/month | |
| Avg Code Completion Speed(seconds) | 2 | 0.75 | |
| Maximum Context Window(tokens) | 200,000 | 8,000 | |
| Supported IDE Platforms(count) | 6+ | 5 | |
| AI Provider Options(count) | 10+ | 1 | |
| Training Data Size(repositories) | Varies by provider | 250,000,000 | — |
| Annual Cost(USD) | $0 | $100 | |
| Base Pricing (Monthly)(USD) | Free + $20 Pro | — | — |
| IDE Integration Support | 3 major editors (VS Code, JetBrains, Vim) | 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) | |
| LLM Provider Options | 15+ providers including premium APIs | — | — |
| Minimum Installation Time(minutes) | 2 minutes (IDE extension) | — | — |
| Runtime Memory Usage (Idle)(MB) | 300-500 MB | — | — |
| Privacy Level (0=cloud-only, 100=fully local)(score) | 80 (optional local via Ollama backend) | — | — |
| Monthly Subscription Cost(USD) | $0 | $10 | |
| Annual Cost per Developer(USD) | $0 | $100-120 | |
| Code Completion Acceptance Rate(%) | 75-82% | 87-92% | |
| Supported LLM Backends(count) | 15+ models | 2 proprietary models | |
| GitHub Stars (Community Adoption)(stars) | 19,000 stars | 87,000 stars | |
| Project Launch Year(year) | 2024 | 2021 | |
| IDE Integration Points(count) | 10+ IDEs | 10+ IDEs | |
| Free Trial Period(days) | 30 days | 30 days | |
| Paid plan (per user / month)(USD/mo) | Copilot Pro $10/mo | Copilot Pro $10/mo | |
| Business / team tier(USD/mo) | Business $19/user/mo (Enterprise $39) | Business $19/user/mo (Enterprise $39) | |
| Annual Subscription Cost(USD) | $100 | $100 | |
| Max Context Window(tokens) | 128,000 tokens | 128,000 tokens | |
| Free Chat Messages Per Month(messages) | 50 | 50 | |
| Monthly Cost (Business)(USD) | $19 | $19 | |
| IDE Support Count(IDEs) | 5 major IDEs | 5 major IDEs | |
| Code Completion Accuracy(percent) | 92% | 92% | |
| Free Trial Duration(days) | 2 days for new accounts | 2 days for new accounts | |
| 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) | |
| Monthly Subscription Cost (Individual)(USD) | $10 | $10 | |
| Code Completion Accuracy Rate(%) | 78% | 78% | |
| Average Suggestion Latency(milliseconds) | 280ms | 280ms | |
| Business Plan Annual Cost (per user)(USD) | $252/year | $252/year | |
| 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(GB) | ~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 | |
| Single-Line Completion Accuracy(%) | 92% | 92% | |
| Supported Editors/IDEs(count) | 20+ IDEs | 20+ IDEs | |
| Developer Satisfaction Rate(%) | 91% | 91% | |
| Market Adoption Share(%) | 55% | 55% | |
| Active Users(millions) | 27 million | 27 million | |
| Years Since Launch(years) | 4+ years (2021) | 4+ years (2021) | |
| Supported IDEs/Platforms(count) | 15+ IDEs | 15+ IDEs | |
| Supported Development Environments(count) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | |
| Supported Programming Languages(count) | 80+ languages | 80+ languages | |
| Context Window(tokens) | 8,000 tokens (~6,000 words) | 8,000 tokens (~6,000 words) | |
| 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 | |
| AI Requests per Month (Pro Plan)(requests) | 100 chat prompts | 100 chat prompts | |
| Installation Time(minutes) | 2-3 minutes | 2-3 minutes | |
| 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(count) | 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) | |
| Monthly Cost (Individual Plan)(USD) | $20/month | $20/month | |
| Monthly Individual Cost(USD) | $10/month | $10/month | |
| Annual Individual Cost(USD) | $100/year | $100/year | |
| Available AI Models(count) | 2 (GPT-4, GPT-4o) | 2 (GPT-4, GPT-4o) | |
| Free Tier Monthly Completions(completions) | 0 (students only) | 0 (students only) | |
| Active User Base(users) | 5+ million | 5+ million | |
| Product Maturity (Years Active)(years) | 4+ years | 4+ years |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
C
3ContinueGitHub Copilot leads
GC
4GitHub CopilotContinue
Attribute
GitHub Copilot
- Free (open-source) or self-hosted(winner)Pricing Model$10/month or $100/year per user
- Supports 15+ models (Claude, Llama, Mistral, local models)(winner)LLM FlexibilityProprietary GPT-4 and GPT-3.5 Turbo only
- Can run 100% locally, no data sent to cloud(winner)Data PrivacySends code snippets to GitHub/Microsoft servers
- VSCode, JetBrains IDEs (5+ supported)IDE SupportVSCode, JetBrains, Neovim, Visual Studio (6+ supported)(winner)
- 75-82% acceptance rate across languagesCode Completion Accuracy87-92% acceptance rate across languages(winner)
- Basic Git support via CLIGitHub IntegrationNative GitHub PR review, suggestions, and code search(winner)
- 19K GitHub stars, founded 2024, rapidly growingCommunity & Maturity87K GitHub stars, founded 2021, industry standard(winner)
- Pricing Model
Continue
Free (open-source) or self-hosted(winner)
GitHub Copilot
$10/month or $100/year per user
- LLM Flexibility
Continue
Supports 15+ models (Claude, Llama, Mistral, local models)(winner)
GitHub Copilot
Proprietary GPT-4 and GPT-3.5 Turbo only
- Data Privacy
Continue
Can run 100% locally, no data sent to cloud(winner)
GitHub Copilot
Sends code snippets to GitHub/Microsoft servers
- IDE Support
Continue
VSCode, JetBrains IDEs (5+ supported)
GitHub Copilot
VSCode, JetBrains, Neovim, Visual Studio (6+ supported)(winner)
- Code Completion Accuracy
Continue
75-82% acceptance rate across languages
GitHub Copilot
87-92% acceptance rate across languages(winner)
- GitHub Integration
Continue
Basic Git support via CLI
GitHub Copilot
Native GitHub PR review, suggestions, and code search(winner)
- Community & Maturity
Continue
19K GitHub stars, founded 2024, rapidly growing
GitHub Copilot
87K GitHub stars, founded 2021, industry standard(winner)
Full Comparison
| Attribute | Continue | GitHub Copilot |
|---|---|---|
| Setup Time(hours) | 5-10 minutes | 2-3 minutes(winner) |
| Initial Setup Time(hours) | 10-20 (API key + config required) | — |
| Free Tier Autocomplete Limit(completions per month) | Unlimited with local models | — |
| Paid Plan Monthly Cost(USD) | Free (optional donations for commercial use) | — |
| Base Cost (Monthly)(USD) | $0 (self-hosted) | — |
| Monthly Cost (Individual)(USD) | Free (+ API costs)(winner) | $10/month |
| Base Monthly Cost(USD) | Free | — |
Show 28 more attributesFree Tier Monthly Limit(completions/month) Unlimited (fully free and open-source) — Pro Plan Monthly Cost(USD) $0 (open-source) or hosted option available $20/month Monthly Cost(USD) $0 $10 Annual Cost(USD) $0 $100 Cost (Base Usage)(USD/month) $0 (free + optional API costs) — Monthly Subscription Cost(USD) $0 $10 Annual Cost per Developer(USD) $0 $100-120 Paid plan (per user / month)(USD/mo) Copilot Pro $10/mo — Free tier Free tier with limited completions/chat, plus free for verified students, teachers, and OSS maintainers — Business / team tier(USD/mo) Business $19/user/mo (Enterprise $39) — Annual Subscription Cost(USD) $100 — Free Tier Premium Requests Per Day(requests) Unlimited completions — Free Chat Messages Per Month(messages) 50 — 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 — Business Plan Annual Cost (per user)(USD) $252/year — Annual Cost (1-Person Subscription)(USD) $120 (monthly) or $100 (annual with 17% discount) — Free Tier Availability 30-day trial only — Annual Cost (Individual Plan)(USD) $100/year or $120 with GitHub Pro — 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 — Monthly Individual Cost(USD) $10/month — Annual Individual Cost(USD) $100/year — Free Tier Monthly Completions(completions) 0 (students only) — | ||
| Autocomplete Latency(milliseconds) | 200-500ms average | — |
| Code Context Window(tokens) | 8000-200000 (model-dependent) | — |
| Real-time Suggestion Speed(ms latency) | 400-800 | — |
| Code Completion Latency(milliseconds) | 800-1200 | 150-250ms per suggestion(winner) |
| Time to First Response (Small Prompt)(seconds) | 2-5 sec (Claude/GPT-4) | — |
Show 20 more attributesAverage Code Completion Time(seconds) 5-15 seconds (hardware-dependent) — Avg Code Completion Speed(seconds) 2 0.75 Runtime Memory Usage (Idle)(MB) 300-500 MB — Code Completion Acceptance Rate(%) 75-82% 87-92% Large-repo codebase indexing Repository context, @workspace search, and Enterprise knowledge bases; less aggressive auto-indexing — Inline autocomplete latency Very fast, low-latency completions; category pioneer and still excellent inline — 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 — 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 — Response Time (Average)(ms) 50-100ms per suggestion — Context Window (Max Tokens)(tokens) ~8,000 (estimated Copilot context) — | ||
| Context Window Size(tokens) | Up to 100,000+ tokens(winner) | 8,000 tokens |
| Agentic Task Execution | Suggestion-based only, no autonomous execution | — |
| Supported IDEs Count(IDEs) | VS Code, JetBrains suite, Vim, Neovim (4 major platforms) | — |
| Supported IDE Count(count) | 5 major IDEs | 6+ major IDEs(winner) |
| Number of Supported IDEs(count) | 4 | — |
| IDE Platform Support Count(platforms) | 4 major platforms (VS Code, JetBrains, Vim, Neovim) | — |
| Supported IDE Platforms(count) | 6+(winner) | 5 |
Show 5 more attributesIDE Integration Points(count) 10+ IDEs — IDE Support Count(IDEs) 5 major IDEs — Supported IDEs/Editors(count) 4+ (VS Code, JetBrains, Visual Studio, Neovim) — Supported Editors/IDEs(count) 20+ IDEs — Supported Development Environments(count) 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) — | ||
| Programming Languages Supported(languages) | 50+ (with LLM-dependent support) | — |
| AI Model Choices(models) | Claude, GPT-4, Llama, Mistral, local | — |
| Supported AI Models(count) | 6+ (Claude, GPT-4, Ollama, local)(winner) | GitHub Copilot (proprietary, Codex-based) |
| Available Models(count) | 10+ providers supported | — |
| IDE Integration | Native VS Code extension | — |
Show 12 more attributesLLM Provider Options 15+ providers including premium APIs — Supported LLM Backends(count) 15+ models 2 proprietary models Agent / multi-file editing Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor — IDE/Editor Integrations(integrations) 40+ — Lines of Code per Suggestion(lines) Up to 150 lines — Available Extensions/Integrations(count) 5 IDE integrations — Free Tier Available Yes (GitHub Copilot Free) — Multi-file Project Editing Limited to referenced files — Supported Programming Languages(count) 80+ languages — Git Integration(null) None: requires manual git commands outside Copilot — Chat & Code Explanation Feature Available in all tiers — Multi-file Context Editing Limited (single file) — | ||
| Data Processing Location | Local + optional cloud | Cloud (GitHub servers) |
| Local Model Support(boolean) | Yes (Ollama, LLaMA) | — |
| Local Execution Support(boolean) | Yes (full local support) | No (cloud-only) |
| Data Privacy (Cloud Processing)(boolean) | Optional (local or cloud) | Mandatory (cloud-based) |
| Local Processing Option(supported) | Yes (default) | — |
Show 2 more attributesLocal/On-Device Processing Option Data exclusion available (enterprise only) — Code Retention for Training Code may be retained (opt-out available) — | ||
| GitHub Stars (as of 2026)(stars) | 13,000+ | — |
| Free Tier Code Completions(completions/month) | Unlimited (depends on API usage) | — |
| Customization via Config | Full JSON config (prompts, model params, shortcuts) | — |
| AI Provider Options(count) | 10+(winner) | 1 |
| Model Customization | No: GitHub Copilot model is fixed and proprietary | — |
| AI Model Options(count) | 5+ (Claude, GPT-4, Llama 2, custom, local)(winner) | 2 (GPT-4, Claude) |
| IDE Support(count) | 4 major (VS Code, JetBrains, Vim, Web) | 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) |
| IDE Compatibility(count) | 5+ (VS Code, JetBrains, Vim) | — |
| IDE Integration Support | 3 major editors (VS Code, JetBrains, Vim) | 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.)(winner) |
| Compatible Editors | VS Code, JetBrains, Neovim, Visual Studio, Sublime | — |
| Native GitHub Integration | Deep (PR, commits, issues) | — |
Show 5 more attributesCompatible Editors/IDEs(platforms) 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) — Native IDE Integrations(count) 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) — Supported IDEs/Platforms(count) 15+ IDEs — IDE/Editor Support(count) 15+ IDEs — AWS Service Integration Limited (generic suggestions) — | ||
| Estimated Active Users(thousands) | 150 | — |
| GitHub Stars (Community Adoption)(stars) | 19,000 stars | 87,000 stars(winner) |
| Active User Base(users) | 5+ million | — |
| User Base Size(millions) | ~0.05 million (2025 estimate) | 1.5+ million (GitHub official, 2024)(winner) |
| Developer Adoption(percent) | 37% | — |
| Enterprise SLA Support(boolean) | No (community-driven) | Yes (GitHub Enterprise available) |
| Setup Complexity(complexity score) | 15–30 min (API key configuration) | 2–5 min (GitHub sign-in)(winner) |
| Enterprise SSO Authentication(supported) | No | — |
| Open Source Availability | Full open-source (Apache 2.0) | — |
| Team Size Limit (Free Tier)(users) | Unlimited | — |
| Training Data Cutoff(month/year) | 2024 | April 2024 |
| Training Data Recency | October 2023 (~27 months old) | — |
| Monthly Cost at Heavy Usage(USD) | $50-150 for power users | — |
| Base Pricing (Monthly)(USD) | Free + $20 Pro | — |
| Internet Dependency(text) | Required for cloud models | — |
| Offline Capability(functionality) | No (cloud-only) | — |
| Minimum RAM Requirement(GB) | 8GB minimum (16GB recommended) | — |
| Data Privacy Level(null) | Depends on provider, some cloud processing | — |
| Data Privacy Model | Local-only, zero cloud transmission | — |
| Privacy Level (0=cloud-only, 100=fully local)(score) | 80 (optional local via Ollama backend) | — |
| Data Privacy (Local Execution)(text) | Fully local option available | Cloud-only, data sent to servers |
| Enterprise governance & IP indemnity | Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification | — |
Show 2 more attributesPrivacy: Code Stored on Vendor Servers(boolean) Yes (OpenAI servers) — Enterprise Security Certifications(count) SOC 2 Type II, ISO 27001 — | ||
| Setup Time to First Use(minutes) | 15-30 minutes (model download + config) | — |
| Open Source | Yes (GitHub public repository) | — |
| Maximum Context Window(tokens) | 200,000(winner) | 8,000 |
| Codebase Context Awareness(rating) | Good | — |
| Inline Edit/Refactor(capability) | Good | — |
| Model Flexibility(options) | 3+ model choices | — |
| Max Context Window(tokens) | 128,000 tokens | — |
Show 5 more attributesDefault AI Model Quality (Reasoning) Copilot (GPT-based, Good) — Multi-File Project Understanding Limited to current + adjacent files — Primary AI Model GPT-4o / o1 (OpenAI) — Codebase Indexing(boolean) No, single-file awareness — Available AI Models(count) 2 (GPT-4, GPT-4o) — | ||
| Training Data Size(repositories) | Varies by provider | 250,000,000 |
| Minimum Installation Time(minutes) | 2 minutes (IDE extension) | — |
| Installation Time(minutes) | 2-3 minutes | — |
| API Documentation Quality | Comprehensive with config examples | — |
| Learning Curve(difficulty (1-10)) | Minimal (extension) | — |
| Project Launch Year(year) | 2024 | 2021(winner) |
| Years Since Launch(years) | 4+ years (2021) | — |
| Enterprise SSO Support | Yes | — |
| Community Size(millions of users) | Very Large | — |
| Estimated Paid User Base(users) | ~1,200,000 | — |
| Free Trial Period(days) | 30 days | — |
| Free Trial Duration(days) | 2 days for new accounts | — |
| IDE model | Plugin/extension installed into your existing IDE | — |
| Standalone IDE Capability | Plugin only (requires VS Code/JetBrains) | — |
| Selectable AI models | Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent) | — |
| Code Completion Accuracy(percent) | 92% | — |
| On-Premise Deployment | Not available | — |
| Self-Hosted Enterprise Option | Not available | — |
| 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) | — |
| File Scope (Max Suggested Edit)(files) | Single file at a time | — |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | — |
| Setup Time (First Use)(minutes) | 0.5 minutes | — |
| GitHub Integration Depth(null) | Native PR reviews, CLI, GitHub.dev, Copilot X | — |
| 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% | — |
| Developer Satisfaction Rate(%) | 91% | — |
| Market Adoption Share(%) | 55% | — |
| Active Users(millions) | 27 million | — |
| Knowledge Cutoff Date | 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) | — |
| Training Data Cutoff Date | April 2024 | — |
| Built-in Security Scanning | Limited (logs code references) | — |
| Local Processing Capability | Cloud-only | — |
| Free Tier Monthly Completion Limit(completions) | 2,000 completions | — |
| AI Requests per Month (Pro Plan)(requests) | 100 chat prompts | — |
| Code Suggestion Accuracy(percent) | 57% | — |
| Supported Languages(count) | 90+ languages | — |
| Available Extensions(count) | Integration with VS Code | — |
| Self-Hosted Deployment | Not available | — |
| Product Maturity (Years Active)(years) | 4+ years | — |
CContinue
GGitHub Copilot
Setup Time(hours)
5-10 minutes
2-3 minutes
Initial Setup Time(hours)
10-20 (API key + config required)
—
Free Tier Autocomplete Limit(completions per month)
Unlimited with local models
—
Paid Plan Monthly Cost(USD)
Free (optional donations for commercial use)
—
Base Cost (Monthly)(USD)
$0 (self-hosted)
—
Monthly Cost (Individual)(USD)
Free (+ API costs)
$10/month
Base Monthly Cost(USD)
Free
—
Show 28 more attributes
Free Tier Monthly Limit(completions/month)
Unlimited (fully free and open-source)
—
Pro Plan Monthly Cost(USD)
$0 (open-source) or hosted option available
$20/month
Monthly Cost(USD)
$0
$10
Annual Cost(USD)
$0
$100
Cost (Base Usage)(USD/month)
$0 (free + optional API costs)
—
Monthly Subscription Cost(USD)
$0
$10
Annual Cost per Developer(USD)
$0
$100-120
Paid plan (per user / month)(USD/mo)
Copilot Pro $10/mo
—
Free tier
Free tier with limited completions/chat, plus free for verified students, teachers, and OSS maintainers
—
Business / team tier(USD/mo)
Business $19/user/mo (Enterprise $39)
—
Annual Subscription Cost(USD)
$100
—
Free Tier Premium Requests Per Day(requests)
Unlimited completions
—
Free Chat Messages Per Month(messages)
50
—
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
—
Business Plan Annual Cost (per user)(USD)
$252/year
—
Annual Cost (1-Person Subscription)(USD)
$120 (monthly) or $100 (annual with 17% discount)
—
Free Tier Availability
30-day trial only
—
Annual Cost (Individual Plan)(USD)
$100/year or $120 with GitHub Pro
—
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
—
Monthly Individual Cost(USD)
$10/month
—
Annual Individual Cost(USD)
$100/year
—
Free Tier Monthly Completions(completions)
0 (students only)
—
Autocomplete Latency(milliseconds)
200-500ms average
—
Code Context Window(tokens)
8000-200000 (model-dependent)
—
Real-time Suggestion Speed(ms latency)
400-800
—
Code Completion Latency(milliseconds)
800-1200
150-250ms per suggestion
Time to First Response (Small Prompt)(seconds)
2-5 sec (Claude/GPT-4)
—
Show 20 more attributes
Average Code Completion Time(seconds)
5-15 seconds (hardware-dependent)
—
Avg Code Completion Speed(seconds)
2
0.75
Runtime Memory Usage (Idle)(MB)
300-500 MB
—
Code Completion Acceptance Rate(%)
75-82%
87-92%
Large-repo codebase indexing
Repository context, @workspace search, and Enterprise knowledge bases; less aggressive auto-indexing
—
Inline autocomplete latency
Very fast, low-latency completions; category pioneer and still excellent inline
—
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
—
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
—
Response Time (Average)(ms)
50-100ms per suggestion
—
Context Window (Max Tokens)(tokens)
~8,000 (estimated Copilot context)
—
Context Window Size(tokens)
Up to 100,000+ tokens
8,000 tokens
Agentic Task Execution
Suggestion-based only, no autonomous execution
—
Supported IDEs Count(IDEs)
VS Code, JetBrains suite, Vim, Neovim (4 major platforms)
—
Supported IDE Count(count)
5 major IDEs
6+ major IDEs
Number of Supported IDEs(count)
4
—
IDE Platform Support Count(platforms)
4 major platforms (VS Code, JetBrains, Vim, Neovim)
—
Supported IDE Platforms(count)
6+
5
Show 5 more attributes
IDE Integration Points(count)
10+ IDEs
—
IDE Support Count(IDEs)
5 major IDEs
—
Supported IDEs/Editors(count)
4+ (VS Code, JetBrains, Visual Studio, Neovim)
—
Supported Editors/IDEs(count)
20+ IDEs
—
Supported Development Environments(count)
10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.)
—
Programming Languages Supported(languages)
50+ (with LLM-dependent support)
—
AI Model Choices(models)
Claude, GPT-4, Llama, Mistral, local
—
Supported AI Models(count)
6+ (Claude, GPT-4, Ollama, local)
GitHub Copilot (proprietary, Codex-based)
Available Models(count)
10+ providers supported
—
IDE Integration
Native VS Code extension
—
Show 12 more attributes
LLM Provider Options
15+ providers including premium APIs
—
Supported LLM Backends(count)
15+ models
2 proprietary models
Agent / multi-file editing
Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor
—
IDE/Editor Integrations(integrations)
40+
—
Lines of Code per Suggestion(lines)
Up to 150 lines
—
Available Extensions/Integrations(count)
5 IDE integrations
—
Free Tier Available
Yes (GitHub Copilot Free)
—
Multi-file Project Editing
Limited to referenced files
—
Supported Programming Languages(count)
80+ languages
—
Git Integration(null)
None: requires manual git commands outside Copilot
—
Chat & Code Explanation Feature
Available in all tiers
—
Multi-file Context Editing
Limited (single file)
—
Data Processing Location
Local + optional cloud
Cloud (GitHub servers)
Local Model Support(boolean)
Yes (Ollama, LLaMA)
—
Local Execution Support(boolean)
Yes (full local support)
No (cloud-only)
Data Privacy (Cloud Processing)(boolean)
Optional (local or cloud)
Mandatory (cloud-based)
Local Processing Option(supported)
Yes (default)
—
Show 2 more attributes
Local/On-Device Processing Option
Data exclusion available (enterprise only)
—
Code Retention for Training
Code may be retained (opt-out available)
—
GitHub Stars (as of 2026)(stars)
13,000+
—
Free Tier Code Completions(completions/month)
Unlimited (depends on API usage)
—
Customization via Config
Full JSON config (prompts, model params, shortcuts)
—
AI Provider Options(count)
10+
1
Model Customization
No: GitHub Copilot model is fixed and proprietary
—
AI Model Options(count)
5+ (Claude, GPT-4, Llama 2, custom, local)
2 (GPT-4, Claude)
IDE Support(count)
4 major (VS Code, JetBrains, Vim, Web)
4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta)
IDE Compatibility(count)
5+ (VS Code, JetBrains, Vim)
—
IDE Integration Support
3 major editors (VS Code, JetBrains, Vim)
8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.)
Compatible Editors
VS Code, JetBrains, Neovim, Visual Studio, Sublime
—
Native GitHub Integration
Deep (PR, commits, issues)
—
Show 5 more attributes
Compatible Editors/IDEs(platforms)
15+ editors (VS Code, JetBrains, Vim, Neovim, etc.)
—
Native IDE Integrations(count)
5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim)
—
Supported IDEs/Platforms(count)
15+ IDEs
—
IDE/Editor Support(count)
15+ IDEs
—
AWS Service Integration
Limited (generic suggestions)
—
Estimated Active Users(thousands)
150
—
GitHub Stars (Community Adoption)(stars)
19,000 stars
87,000 stars
Active User Base(users)
5+ million
—
User Base Size(millions)
~0.05 million (2025 estimate)
1.5+ million (GitHub official, 2024)
Developer Adoption(percent)
37%
—
Enterprise SLA Support(boolean)
No (community-driven)
Yes (GitHub Enterprise available)
Setup Complexity(complexity score)
15–30 min (API key configuration)
2–5 min (GitHub sign-in)
Enterprise SSO Authentication(supported)
No
—
Open Source Availability
Full open-source (Apache 2.0)
—
Team Size Limit (Free Tier)(users)
Unlimited
—
Training Data Cutoff(month/year)
2024
April 2024
Training Data Recency
October 2023 (~27 months old)
—
Monthly Cost at Heavy Usage(USD)
$50-150 for power users
—
Base Pricing (Monthly)(USD)
Free + $20 Pro
—
Internet Dependency(text)
Required for cloud models
—
Offline Capability(functionality)
No (cloud-only)
—
Minimum RAM Requirement(GB)
8GB minimum (16GB recommended)
—
Data Privacy Level(null)
Depends on provider, some cloud processing
—
Data Privacy Model
Local-only, zero cloud transmission
—
Privacy Level (0=cloud-only, 100=fully local)(score)
80 (optional local via Ollama backend)
—
Data Privacy (Local Execution)(text)
Fully local option available
Cloud-only, data sent to servers
Enterprise governance & IP indemnity
Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification
—
Show 2 more attributes
Privacy: Code Stored on Vendor Servers(boolean)
Yes (OpenAI servers)
—
Enterprise Security Certifications(count)
SOC 2 Type II, ISO 27001
—
Setup Time to First Use(minutes)
15-30 minutes (model download + config)
—
Open Source
Yes (GitHub public repository)
—
Maximum Context Window(tokens)
200,000
8,000
Codebase Context Awareness(rating)
Good
—
Inline Edit/Refactor(capability)
Good
—
Model Flexibility(options)
3+ model choices
—
Max Context Window(tokens)
128,000 tokens
—
Show 5 more attributes
Default AI Model Quality (Reasoning)
Copilot (GPT-based, Good)
—
Multi-File Project Understanding
Limited to current + adjacent files
—
Primary AI Model
GPT-4o / o1 (OpenAI)
—
Codebase Indexing(boolean)
No, single-file awareness
—
Available AI Models(count)
2 (GPT-4, GPT-4o)
—
Training Data Size(repositories)
Varies by provider
250,000,000
Minimum Installation Time(minutes)
2 minutes (IDE extension)
—
Installation Time(minutes)
2-3 minutes
—
API Documentation Quality
Comprehensive with config examples
—
Learning Curve(difficulty (1-10))
Minimal (extension)
—
Project Launch Year(year)
2024
2021
Years Since Launch(years)
4+ years (2021)
—
Enterprise SSO Support
Yes
—
Community Size(millions of users)
Very Large
—
Estimated Paid User Base(users)
~1,200,000
—
Free Trial Period(days)
30 days
—
Free Trial Duration(days)
2 days for new accounts
—
IDE model
Plugin/extension installed into your existing IDE
—
Standalone IDE Capability
Plugin only (requires VS Code/JetBrains)
—
Selectable AI models
Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent)
—
Code Completion Accuracy(percent)
92%
—
On-Premise Deployment
Not available
—
Self-Hosted Enterprise Option
Not available
—
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)
—
File Scope (Max Suggested Edit)(files)
Single file at a time
—
Learning Curve (1=easy, 5=hard)(score)
1 (IDE-native, like autocomplete)
—
Setup Time (First Use)(minutes)
0.5 minutes
—
GitHub Integration Depth(null)
Native PR reviews, CLI, GitHub.dev, Copilot X
—
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%
—
Developer Satisfaction Rate(%)
91%
—
Market Adoption Share(%)
55%
—
Active Users(millions)
27 million
—
Knowledge Cutoff Date
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)
—
Training Data Cutoff Date
April 2024
—
Built-in Security Scanning
Limited (logs code references)
—
Local Processing Capability
Cloud-only
—
Free Tier Monthly Completion Limit(completions)
2,000 completions
—
AI Requests per Month (Pro Plan)(requests)
100 chat prompts
—
Code Suggestion Accuracy(percent)
57%
—
Supported Languages(count)
90+ languages
—
Available Extensions(count)
Integration with VS Code
—
Self-Hosted Deployment
Not available
—
Product Maturity (Years Active)(years)
4+ years
—
Pros & Cons
10 pros·4 cons across both
C
GC
C
Continue
+5-2
Pros
- 100% free and open-source with Apache 2.0 license
- Supports 15+ LLM backends (Claude 3, Llama 2, Mistral, Grok, local models)
- Can run entirely locally with no data leaving your machine
- Works with VSCode, JetBrains IntelliJ, PyCharm, and other IDEs
- Full customization of model parameters and system prompts
Cons
- Lower code completion accuracy (75-82% vs 87-92% for Copilot)
- Smaller community and fewer enterprise integrations (19K vs 87K GitHub stars)
GC
GitHub Copilot
+5-2
Pros
- Highest code completion accuracy at 87-92% acceptance rate industry-wide
- Native GitHub PR review and code suggestion features
- Supports 6+ IDEs including VSCode, JetBrains, Neovim, Visual Studio, and Vim
- GPT-4 and GPT-3.5 Turbo with continuous model improvements
- Enterprise features: audit logs, usage insights, team management
Cons
- Requires $10/month ($120/year) per developer
- Code sent to Microsoft/GitHub servers raises privacy concerns for regulated industries
Frequently Asked Questions
5 questions
Yes, Continue can run entirely locally by using open-source models like Llama 2 or Mistral on your machine. No internet connection or data transmission is required. GitHub Copilot requires cloud connectivity and sends code snippets to Microsoft's servers for processing.
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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