software
Continue vs GitHub Copilot 2026
GitHub Copilot is a cloud-based paid service with broader language model access and VS Code integration, while Continue is a free, open-source IDE extension that runs locally and supports multiple AI providers including Claude, GPT-4, and local models.
C
Continue
Open-source AI code assistant with local-first privacy and customizable models
Privacy-conscious developers, teams with strict data policies, users who want to use local models, and organizations avoiding subscription costs.
Score63%
VS
GC
GitHub Copilot
IDE-integrated AI code completion that suggests code snippets in real-time while you type.
Enterprise teams, developers prioritizing speed, GitHub-integrated workflows, and organizations with dedicated budgets for AI tooling.
Score63%
Quick Answer
AI SummaryGitHub Copilot is a cloud-based paid service with broader language model access and VS Code integration, while Continue is a free, open-source IDE extension that runs locally and supports multiple AI providers including Claude, GPT-4, and local models.
Our Verdict
AI-assistedChoose Continue if you prioritize cost savings (free), data privacy, flexibility to use multiple AI providers, and larger context windows for complex codebases. Choose GitHub Copilot if you want the fastest code completion, integration with GitHub's security features, seamless enterprise SSO, and don't mind the subscription cost or cloud processing.
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C
Continue
8/10
GitHub Copilot
7/10
G
C
Choose Continue if
Best pickPrivacy-conscious developers, teams with strict data policies, users who want to use local models, and organizations avoiding subscription costs.
G
Choose GitHub Copilot if
Enterprise teams, developers prioritizing speed, GitHub-integrated workflows, and organizations with dedicated budgets for AI tooling.
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Key Differences at a Glance
- Pricing Model:✓ Continue wins(Free and open-source vs $10/month or $100/year)
- Deployment:✓ Continue wins(Local processing with optional cloud vs Cloud-based (GitHub servers))
- Supported IDE Count:6+ IDEs (VS Code, JetBrains, Vim, Cursor) vs 5 IDEs (VS Code, JetBrains, Neovim, Visual Studio, Copilot Chat)
Key Facts & Figures
93 numeric metrics compared
| Metric | Continue | GitHub Copilot | Ratio |
|---|---|---|---|
| Initial Setup Time(minutes) | 10-20 (API key + config required) | — | — |
| Autocomplete Latency(milliseconds) | 200-500ms average | — | — |
| Context Window Size(tokens) | Up to 100,000+ tokens | 128K 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(count) | 50+ (with LLM-dependent support) | — | — |
| Base Cost (Monthly)(USD) | $0 (self-hosted) | — | — |
| Supported IDE Count(integrations) | 3 (VSCode, JetBrains, Cursor) | 60+ | |
| GitHub Stars (as of 2026)(stars) | 10,000+ | — | — |
| Monthly Cost (Individual)(USD) | Free (+ API costs) | $10 | |
| AI Model Options(models) | 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 | 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 | — | — |
| 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 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) | 12,000 tokens (GPT-4) | 12,000 tokens (GPT-4) | |
| Free Chat Messages Per Month(messages) | 50 | 50 | |
| Monthly Cost (Business)(USD) | $19 | $19 | |
| IDE Support Count(editors) | VS Code, JetBrains IDEs, Visual Studio, Neovim | VS Code, JetBrains IDEs, Visual Studio, Neovim | |
| Code Completion Accuracy(percent match) | 92% | 92% | |
| Free Trial Duration(days) | 30 days (free tier limited) | 30 days (free tier limited) | |
| 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(emails/month) | 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(%) | 90.2% | 90.2% | |
| 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(seconds) | 450ms | 450ms | |
| IDE/Editor Integrations(integrations) | 40+ | 40+ | |
| Lines of Code per Suggestion(lines) | Up to 150 lines | Up to 150 lines | |
| Installation Size(MB) | 5 MB (as extension) | 5 MB (as 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) | 5 years (2021) | 5 years (2021) | |
| Supported IDEs/Platforms(count) | 5+ (VS Code, JetBrains suite, GitHub.com, etc.) | 5+ (VS Code, JetBrains suite, GitHub.com, etc.) | |
| Monthly Subscription Cost(USD) | $10 or free with GitHub Pro | $10 or free with GitHub Pro | |
| Supported Programming Languages(count) | 80+ (Python, JavaScript, Java, C++, Go, Rust, etc.) | 80+ (Python, JavaScript, Java, C++, Go, Rust, etc.) | |
| Context Window(tokens) | 8,000 tokens (~6,000 words) | 8,000 tokens (~6,000 words) | |
| IDE Integration Support(platforms) | 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) | |
| 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) |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
C
5ContinueContinue leads1 tie
GC
1GitHub CopilotContinue
Attribute
GitHub Copilot
- Free and open-source(winner)Pricing Model$10/month or $100/year
- Local processing with optional cloud(winner)DeploymentCloud-based (GitHub servers)
- 6+ IDEs (VS Code, JetBrains, Vim, Cursor)Supported IDE Count5 IDEs (VS Code, JetBrains, Neovim, Visual Studio, Copilot Chat)
- 10+ providers (Claude, GPT-4, Ollama, Cohere, local models)(winner)AI Model Provider OptionsGitHub's proprietary model (trained on GitHub code)
- Up to 200K tokens (Claude 3.5 Sonnet)(winner)Context Window Size8K tokens average
- 1-3 seconds (depends on local/cloud)Code Completion Speed0.5-1 second(winner)
- Code stays local (fully configurable)(winner)Data PrivacySent to GitHub servers for processing
- Pricing Model
Continue
Free and open-source(winner)
GitHub Copilot
$10/month or $100/year
- Deployment
Continue
Local processing with optional cloud(winner)
GitHub Copilot
Cloud-based (GitHub servers)
- Supported IDE Count
Continue
6+ IDEs (VS Code, JetBrains, Vim, Cursor)
GitHub Copilot
5 IDEs (VS Code, JetBrains, Neovim, Visual Studio, Copilot Chat)
- AI Model Provider Options
Continue
10+ providers (Claude, GPT-4, Ollama, Cohere, local models)(winner)
GitHub Copilot
GitHub's proprietary model (trained on GitHub code)
- Context Window Size
Continue
Up to 200K tokens (Claude 3.5 Sonnet)(winner)
GitHub Copilot
8K tokens average
- Code Completion Speed
Continue
1-3 seconds (depends on local/cloud)
GitHub Copilot
0.5-1 second(winner)
- Data Privacy
Continue
Code stays local (fully configurable)(winner)
GitHub Copilot
Sent to GitHub servers for processing
Full Comparison
| Attribute | Continue | GitHub Copilot |
|---|---|---|
| Setup Time(minutes) | 5-10 minutes | 2-3 minutes(winner) |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | — |
| Setup Time (First Use)(minutes) | 0.5 minutes | — |
| Initial Setup Time(minutes) | 10-20 (API key + config required) | — |
| Setup Time to First Use(minutes) | 15-30 minutes (model download + config) | — |
| 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 |
| Base Monthly Cost(USD) | Free | — |
Show 21 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 — Monthly Cost(USD) $0 $10 Annual Cost(USD) $0 $100 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 — Free tier limit(emails/month) 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 Available(yes/no) 2 months free trial only — Free Tier Availability(null) 30-day trial only — Monthly Subscription Cost(USD) $10 or free with GitHub Pro — Cost (Monthly)(USD) $10 (Pro) or $0 (Limited) — Monthly Cost (Single User)(USD) Fixed $10 (Copilot Individual) or $19 (Copilot Pro) — | ||
| Autocomplete Latency(milliseconds) | 200-500ms average | — |
| Context Window Size(tokens) | Up to 100,000+ tokens(winner) | 128K tokens |
| 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) |
Show 18 more attributesTime to First Response (Small Prompt)(seconds) 2-5 sec (Claude/GPT-4) — Minimum RAM Requirement(GB) 8GB minimum (16GB recommended) — Average Code Completion Time(seconds) 5-15 seconds (hardware-dependent) — Avg Code Completion Speed(seconds) 2 0.75 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(%) 90.2% — Average Suggestion Latency(milliseconds) 280ms — Installation Size(MB) 5 MB (as extension) — Average Code Suggestion Time(seconds) 2-5 seconds per suggestion — Single-Line Completion Accuracy(%) 92% — Context Window(tokens) 8,000 tokens (~6,000 words) — Response Time (Average)(ms) 50-100ms per suggestion — Context Window (Max Tokens)(tokens) ~8,000 (estimated Copilot context) — | ||
| Supported IDEs Count(IDEs) | VS Code, JetBrains suite, Vim, Neovim (4 major platforms) | — |
| Supported IDE Count(integrations) | 3 (VSCode, JetBrains, Cursor) | 60+(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 4 more attributesIDE Integration Points(count) 10+ IDEs — Supported IDEs/Editors(count) 6 major platforms — Supported Editors/IDEs(count) 20+ IDEs — IDE Integration Support(platforms) 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) — | ||
| Programming Languages Supported(count) | 50+ (with LLM-dependent support) | — |
| AI Model Choices(models) | Claude, GPT-4, Llama, Mistral, local | — |
| Available Models(count) | 10+ providers supported | — |
| Agent / multi-file editing | Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor | — |
| Native GitHub Integration(boolean) | Deep (PR, commits, issues) | — |
| GitHub Integration Depth | Native PR reviews, CLI, GitHub.dev, Copilot X | — |
Show 5 more attributesIDE/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 — Supported Programming Languages(count) 80+ (Python, JavaScript, Java, C++, Go, Rust, etc.) — | ||
| 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 1 more attributeLocal/On-Device Processing Option Data exclusion available (enterprise only) — | ||
| GitHub Stars (as of 2026)(stars) | 10,000+ | — |
| Estimated Active Users(thousands) | 150 | — |
| User Base Size(millions) | ~0.05 million (2025 estimate) | 1.5+ million (GitHub official, 2024)(winner) |
| Community Size(members/stars) | Very Large | — |
| Free Tier Code Completions(completions/month) | Unlimited (depends on API usage) | — |
| Customization via Config | Full JSON config (prompts, model params, shortcuts) | — |
| Supported AI Models | 6+ (Claude, GPT-4, Ollama, local)(winner) | GitHub Copilot (proprietary, Codex-based) |
| AI Provider Options(count) | 10+(winner) | 1 |
| Model Customization | No: GitHub Copilot model is fixed and proprietary | — |
| AI Model Options(models) | 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) | — |
| Compatible Editors | VS Code, JetBrains, Neovim, Visual Studio, Sublime | — |
| IDE Support Count(editors) | VS Code, JetBrains IDEs, Visual Studio, Neovim | — |
| Compatible Editors/IDEs(platforms) | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | — |
Show 2 more attributesNative IDE Integrations(count) 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) — Supported IDEs/Platforms(count) 5+ (VS Code, JetBrains suite, GitHub.com, etc.) — | ||
| 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 | — |
| Enterprise SSO Support | Yes | — |
| Open-Source Availability | Full open-source (Apache 2.0) | — |
| Team Size Limit (Free Tier)(users) | Unlimited | — |
| Training Data Cutoff(year) | 2024 | April 2024 |
| 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 | — |
| IDE model | Plugin/extension installed into your existing IDE | — |
| Standalone IDE Capability | Plugin only (requires VS Code/JetBrains) | — |
| IDE Integration | Native VS Code extension | — |
| Data Privacy Level(percentage local) | Depends on provider, some cloud processing | — |
| Data Privacy Model | Local-only, zero cloud transmission | — |
| Enterprise governance & IP indemnity | Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification | — |
| Privacy: Code Stored on Vendor Servers(boolean) | Yes (OpenAI servers) | — |
| Open Source | Yes (GitHub public repository) | — |
| Maximum Context Window(tokens) | 200,000(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 | — |
| Supported Languages(count) | 90+ languages | — |
| File Scope (Max Suggested Edit)(files) | Single file at a time | — |
| Training Data Size(repositories) | Varies by provider | 250,000,000 |
| Codebase Context Awareness(rating) | Good | — |
| Inline Edit/Refactor(capability) | Good | — |
| Model Flexibility(options) | 3+ model choices | — |
| Default AI Model Quality (Reasoning) | Copilot (GPT-based, Good) | — |
| Multi-File Project Understanding | Limited to current + adjacent files | — |
| Free Trial Period(days) | 30 days | — |
| Learning Curve(1-10 scale (1=easiest)) | Minimal (extension) | — |
| Selectable AI models | Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent) | — |
| Max Context Window(tokens) | 12,000 tokens (GPT-4) | — |
| Agentic Task Execution | Suggestion-based only, no autonomous execution | — |
| Code Completion Accuracy(percent match) | 92% | — |
| On-Premise Deployment(availability) | Not available | — |
| Self-Hosted Option | Not available | — |
| Self-Hosted Enterprise Option | Not available | — |
| Free Trial Duration(days) | 30 days (free tier limited) | — |
| Training Data Recency(months_old) | October 2023 (~27 months old) | — |
| Estimated Paid User Base(users) | ~1,200,000 | — |
| Active Users(millions) | 27 million | — |
| AI Model Provider | OpenAI GPT-4 / Anthropic Claude | — |
| Offline Capability | No (cloud-only) | — |
| Average Response Latency(seconds) | 450ms | — |
| 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% | — |
| Years Since Launch(years) | 5 years (2021) | — |
| 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) | — |
| Git Integration | None: requires manual git commands outside Copilot | — |
| Developer Adoption(percent) | 37% | — |
| Code Suggestion Accuracy(percent) | 57% | — |
| Available Extensions(count) | Integration with VS Code | — |
CContinue
GGitHub Copilot
Setup Time(minutes)
5-10 minutes
2-3 minutes
Learning Curve (1=easy, 5=hard)(score)
1 (IDE-native, like autocomplete)
—
Setup Time (First Use)(minutes)
0.5 minutes
—
Initial Setup Time(minutes)
10-20 (API key + config required)
—
Setup Time to First Use(minutes)
15-30 minutes (model download + config)
—
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
Base Monthly Cost(USD)
Free
—
Show 21 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
—
Monthly Cost(USD)
$0
$10
Annual Cost(USD)
$0
$100
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
—
Free tier limit(emails/month)
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 Available(yes/no)
2 months free trial only
—
Free Tier Availability(null)
30-day trial only
—
Monthly Subscription Cost(USD)
$10 or free with GitHub Pro
—
Cost (Monthly)(USD)
$10 (Pro) or $0 (Limited)
—
Monthly Cost (Single User)(USD)
Fixed $10 (Copilot Individual) or $19 (Copilot Pro)
—
Autocomplete Latency(milliseconds)
200-500ms average
—
Context Window Size(tokens)
Up to 100,000+ tokens
128K tokens
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
Show 18 more attributes
Time to First Response (Small Prompt)(seconds)
2-5 sec (Claude/GPT-4)
—
Minimum RAM Requirement(GB)
8GB minimum (16GB recommended)
—
Average Code Completion Time(seconds)
5-15 seconds (hardware-dependent)
—
Avg Code Completion Speed(seconds)
2
0.75
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(%)
90.2%
—
Average Suggestion Latency(milliseconds)
280ms
—
Installation Size(MB)
5 MB (as extension)
—
Average Code Suggestion Time(seconds)
2-5 seconds per suggestion
—
Single-Line Completion Accuracy(%)
92%
—
Context Window(tokens)
8,000 tokens (~6,000 words)
—
Response Time (Average)(ms)
50-100ms per suggestion
—
Context Window (Max Tokens)(tokens)
~8,000 (estimated Copilot context)
—
Supported IDEs Count(IDEs)
VS Code, JetBrains suite, Vim, Neovim (4 major platforms)
—
Supported IDE Count(integrations)
3 (VSCode, JetBrains, Cursor)
60+
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 4 more attributes
IDE Integration Points(count)
10+ IDEs
—
Supported IDEs/Editors(count)
6 major platforms
—
Supported Editors/IDEs(count)
20+ IDEs
—
IDE Integration Support(platforms)
8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.)
—
Programming Languages Supported(count)
50+ (with LLM-dependent support)
—
AI Model Choices(models)
Claude, GPT-4, Llama, Mistral, local
—
Available Models(count)
10+ providers supported
—
Agent / multi-file editing
Agent mode + Copilot Workspace + coding agent (issue-to-PR); strong but tighter loop trails Cursor
—
Native GitHub Integration(boolean)
Deep (PR, commits, issues)
—
GitHub Integration Depth
Native PR reviews, CLI, GitHub.dev, Copilot X
—
Show 5 more attributes
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
—
Supported Programming Languages(count)
80+ (Python, JavaScript, Java, C++, Go, Rust, etc.)
—
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 1 more attribute
Local/On-Device Processing Option
Data exclusion available (enterprise only)
—
GitHub Stars (as of 2026)(stars)
10,000+
—
Estimated Active Users(thousands)
150
—
User Base Size(millions)
~0.05 million (2025 estimate)
1.5+ million (GitHub official, 2024)
Community Size(members/stars)
Very Large
—
Free Tier Code Completions(completions/month)
Unlimited (depends on API usage)
—
Customization via Config
Full JSON config (prompts, model params, shortcuts)
—
Supported AI Models
6+ (Claude, GPT-4, Ollama, local)
GitHub Copilot (proprietary, Codex-based)
AI Provider Options(count)
10+
1
Model Customization
No: GitHub Copilot model is fixed and proprietary
—
AI Model Options(models)
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)
—
Compatible Editors
VS Code, JetBrains, Neovim, Visual Studio, Sublime
—
IDE Support Count(editors)
VS Code, JetBrains IDEs, Visual Studio, Neovim
—
Compatible Editors/IDEs(platforms)
15+ editors (VS Code, JetBrains, Vim, Neovim, etc.)
—
Show 2 more attributes
Native IDE Integrations(count)
5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim)
—
Supported IDEs/Platforms(count)
5+ (VS Code, JetBrains suite, GitHub.com, etc.)
—
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
—
Enterprise SSO Support
Yes
—
Open-Source Availability
Full open-source (Apache 2.0)
—
Team Size Limit (Free Tier)(users)
Unlimited
—
Training Data Cutoff(year)
2024
April 2024
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
—
IDE model
Plugin/extension installed into your existing IDE
—
Standalone IDE Capability
Plugin only (requires VS Code/JetBrains)
—
IDE Integration
Native VS Code extension
—
Data Privacy Level(percentage local)
Depends on provider, some cloud processing
—
Data Privacy Model
Local-only, zero cloud transmission
—
Enterprise governance & IP indemnity
Org policy management, SSO, audit logs, content exclusion, data residency, IP indemnification
—
Privacy: Code Stored on Vendor Servers(boolean)
Yes (OpenAI servers)
—
Open Source
Yes (GitHub public repository)
—
Maximum Context Window(tokens)
200,000
8,000
Maximum Codebase Context Window(files)
~5-10 visible files in editor
—
Multi-File Autonomous Editing(capability)
No—suggestions only, manual edit required
—
Supported Languages(count)
90+ languages
—
File Scope (Max Suggested Edit)(files)
Single file at a time
—
Training Data Size(repositories)
Varies by provider
250,000,000
Codebase Context Awareness(rating)
Good
—
Inline Edit/Refactor(capability)
Good
—
Model Flexibility(options)
3+ model choices
—
Default AI Model Quality (Reasoning)
Copilot (GPT-based, Good)
—
Multi-File Project Understanding
Limited to current + adjacent files
—
Free Trial Period(days)
30 days
—
Learning Curve(1-10 scale (1=easiest))
Minimal (extension)
—
Selectable AI models
Anthropic Claude, OpenAI GPT, Google Gemini (model picker in chat/agent)
—
Max Context Window(tokens)
12,000 tokens (GPT-4)
—
Agentic Task Execution
Suggestion-based only, no autonomous execution
—
Code Completion Accuracy(percent match)
92%
—
On-Premise Deployment(availability)
Not available
—
Self-Hosted Option
Not available
—
Self-Hosted Enterprise Option
Not available
—
Free Trial Duration(days)
30 days (free tier limited)
—
Training Data Recency(months_old)
October 2023 (~27 months old)
—
Estimated Paid User Base(users)
~1,200,000
—
Active Users(millions)
27 million
—
AI Model Provider
OpenAI GPT-4 / Anthropic Claude
—
Offline Capability
No (cloud-only)
—
Average Response Latency(seconds)
450ms
—
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%
—
Years Since Launch(years)
5 years (2021)
—
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)
—
Git Integration
None: requires manual git commands outside Copilot
—
Developer Adoption(percent)
37%
—
Code Suggestion Accuracy(percent)
57%
—
Available Extensions(count)
Integration with VS Code
—
Pros & Cons
10 pros·6 cons across both
C
GC
C
Continue
+5-3
Pros
- Completely free and open-source with transparent codebase
- Supports 10+ AI providers (Claude, GPT-4, Ollama, local models) with no lock-in
- 200K token context window with Claude 3.5 Sonnet for handling large files
- Local-first processing option keeps sensitive code off cloud servers
- Supports 6+ IDEs including JetBrains, VS Code, Vim, and Cursor
Cons
- Slower completion speed (1-3 seconds) compared to Copilot due to local processing overhead
- Requires manual configuration of API keys and provider selection
- Smaller community and fewer enterprise integrations than GitHub Copilot
GC
GitHub Copilot
+5-3
Pros
- Fastest code completion (0.5-1 second) with optimized cloud infrastructure
- Integrated with GitHub security scanning and enterprise SSO authentication
- Specialized training on 250M+ public GitHub repositories for relevant suggestions
- Copilot Chat feature for natural language code explanation and generation
- Automatic updates and improvements without user configuration
Cons
- Mandatory $10/month subscription ($100/year) with no free tier option
- All code is processed on GitHub servers, raising data privacy concerns
- Limited to GitHub's proprietary model with no ability to switch providers
Frequently Asked Questions
5 questions
By default, Continue can run entirely locally if you configure it with local models (via Ollama). However, if you choose cloud providers like Claude or GPT-4, your code snippets are sent to those providers' servers. You have full control over this choice.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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