software
GitHub Copilot vs CodeWhisperer 2026
GitHub Copilot leads with broader language support (80+ languages), more advanced models (GPT-4 integration), and larger training dataset, while CodeWhisperer offers free tier access and AWS service integration at no cost for individual developers.
GC
GitHub Copilot
AI pair programmer powered by OpenAI models with broad language and IDE support
Full-stack developers working across multiple languages, teams using JetBrains IDEs, developers needing advanced AI reasoning for complex algorithms
Score63%
VS
AC
Amazon CodeWhisperer
AWS-optimized AI code completion tool with free tier and security scanning
AWS-focused teams, developers prioritizing code privacy, individual developers on budget, security-conscious enterprises
Score63%
Quick Answer
AI SummaryGitHub Copilot leads with broader language support (80+ languages), more advanced models (GPT-4 integration), and larger training dataset, while CodeWhisperer offers free tier access and AWS service integration at no cost for individual developers.
Our Verdict
AI-assistedChoose GitHub Copilot if you work across diverse languages, need cutting-edge AI models, and want the most mature ecosystem with strong community support. Choose CodeWhisperer if you're building on AWS infrastructure, prefer a free tier option, or want tighter security scanning with credential leak prevention.
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G
GitHub Copilot
8/10
Amazon CodeWhisperer
7/10
A
G
Choose GitHub Copilot if
Best pickFull-stack developers working across multiple languages, teams using JetBrains IDEs, developers needing advanced AI reasoning for complex algorithms
A
Choose Amazon CodeWhisperer if
AWS-focused teams, developers prioritizing code privacy, individual developers on budget, security-conscious enterprises
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Key Differences at a Glance
- Pricing Model:✓ Amazon CodeWhisperer wins(Free tier + $19/month Pro vs $10/month or $100/year (individual))
- Supported Languages:✓ GitHub Copilot wins(80+ languages vs 15+ languages)
- Training Data Cutoff:✓ GitHub Copilot wins(April 2024 vs December 2023)
Key Facts & Figures
75 numeric metrics compared
| Metric | GitHub Copilot | Amazon CodeWhisperer | Ratio |
|---|---|---|---|
| IDE Integration Points(count) | 10+ IDEs | — | — |
| Free Trial Period(days) | 30 days | — | — |
| Paid plan (per user / month)(USD/mo) | Copilot Pro $10/mo | — | — |
| Business / team tier(USD/mo) | Business $19/user/mo (Enterprise $39) | — | — |
| Annual Subscription Cost(USD) | $100 | — | — |
| Max Context Window(tokens) | 12,000 tokens (GPT-4) | — | — |
| Free Chat Messages Per Month(messages) | 50 | — | — |
| Monthly Cost (Business)(USD) | $19 | — | — |
| IDE Support Count(platforms) | 5 major IDEs | — | — |
| Code Completion Accuracy(percent) | 92% | 78% | |
| Free Trial Duration(days) | 30 days (free tier limited) | — | — |
| Average Code Completion Latency(milliseconds) | ~150ms | — | — |
| Supported IDE Count(integrations) | 60+ | — | — |
| Estimated Paid User Base(users) | ~1,200,000 | — | — |
| Code Completion Accuracy (HumanEval)(percentage) | ~56-62% | — | — |
| Free Tier Limit(users) | 180 code completions | — | — |
| Compatible Editors/IDEs(platforms) | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | — | — |
| Response Latency (P50)(milliseconds) | ~1200ms average completion | — | — |
| Base Cost(USD/month (for typical usage)) | $10/month individual, $19/month business | — | — |
| Supported AI Models | GitHub Copilot (proprietary, Codex-based) | — | — |
| Native IDE Integrations(count) | 5+ (VS Code, JetBrains, Visual Studio, Vim, Neovim) | — | — |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | — | — |
| Average Response Time for Code Suggestion(seconds) | 0.5-1 (inline suggestion) | — | — |
| Monthly Subscription Cost (Individual)(USD) | $10 | — | — |
| Code Completion Accuracy Rate(%) | 78% | — | — |
| Average Suggestion Latency(milliseconds) | 280ms | — | — |
| Business Plan Annual Cost (per user)(USD) | $252/year | — | — |
| Monthly Cost (Individual)(USD) | $10/month | $0 (free tier) | |
| Annual Cost (1-Person Subscription)(USD) | $120 (monthly) or $100 (annual with 17% discount) | $0 | |
| Average Response Latency(milliseconds) | 1350ms | 1,200ms | |
| IDE/Editor Integrations(integrations) | 40+ | 8 | |
| Lines of Code per Suggestion(lines) | Up to 150 lines | Up to 100 lines | |
| Installation Size(MB) | ~15 MB extension | — | — |
| Global Developer Adoption(percent) | 27% of developers | — | — |
| Average Code Suggestion Time(seconds) | 2-5 seconds per suggestion | — | — |
| Available Extensions/Integrations(count) | 5 IDE integrations | — | — |
| Development Time Reduction(percent) | 20-40% faster on routine tasks | — | — |
| AI Model Options(models) | 2 (GPT-4, Claude) | — | — |
| IDE Support(count) | 4 major (VS Code, Visual Studio, GitHub.com, JetBrains Beta) | — | — |
| User Base Size(millions) | 1.5+ million (GitHub official, 2024) | — | — |
| Single-Line Completion Accuracy(%) | 92% | — | — |
| Supported Editors/IDEs(count) | 20+ IDEs | — | — |
| Developer Satisfaction Rate(%) | 91% | — | — |
| Market Adoption Share(%) | 55% | — | — |
| Active Users(millions) | 27 million | — | — |
| Years Since Launch(years) | 4+ years (2021) | — | — |
| Supported IDEs/Platforms(count) | 5+ (VS Code, JetBrains suite, GitHub.com, etc.) | — | — |
| Pro Plan Monthly Cost(USD) | $20/month | — | — |
| Supported Development Environments(count) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | — | — |
| Monthly Subscription Cost(USD) | $10 or free with GitHub Pro | — | — |
| Code Completion Latency(milliseconds) | 150-250ms per suggestion | — | — |
| Supported Programming Languages(count) | 80+ languages | 15 languages | |
| Context Window(tokens) | 8,000 tokens (~6,000 words) | — | — |
| IDE Integration Support | 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) | — | — |
| Code Generation Accuracy (Python)(percent) | 72% correct on HumanEval benchmark | — | — |
| Context Switching Overhead(seconds per interaction) | 2-5 seconds (in-editor, no switching) | — | — |
| Context Window Size(tokens) | 8,000 tokens | 10,000 tokens | |
| IDE/Editor Support(count) | 15+ IDEs | 11 IDEs | |
| Avg Code Completion Speed(seconds) | 0.75 | — | — |
| Maximum Context Window(tokens) | 8,000 | — | — |
| Supported IDE Platforms(count) | 5 | — | — |
| AI Provider Options(count) | 1 | — | — |
| Training Data Size(repositories) | 250,000,000 | — | — |
| Annual Cost(USD) | $100 | — | — |
| Cost (Monthly)(USD) | $10 (Pro) or $0 (Limited) | — | — |
| Developer Adoption(percent) | 37% | — | — |
| Code Suggestion Accuracy(percent) | 57% | — | — |
| Setup Time (First Use)(minutes) | 0.5 minutes | — | — |
| Supported Languages(languages) | 90+ languages | — | — |
| Coding Speed Improvement(percent) | 35-55% | — | — |
| Response Time (Average)(ms) | 50-100ms per suggestion | — | — |
| Monthly Cost (Single User)(USD) | Fixed $10 (Copilot Individual) or $19 (Copilot Pro) | — | — |
| File Scope (Max Suggested Edit)(files) | Single file at a time | — | — |
| Context Window (Max Tokens)(tokens) | ~8,000 (estimated Copilot context) | — | — |
| Monthly Cost (Individual Plan)(USD) | $10/month | — | — |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
GC
3GitHub CopilotEvenly matched1 tie
AC
3Amazon CodeWhispererGitHub Copilot
Attribute
Amazon CodeWhisperer
- $10/month or $100/year (individual)Pricing ModelFree tier + $19/month Pro(winner)
- 80+ languages(winner)Supported Languages15+ languages
- April 2024(winner)Training Data CutoffDecember 2023
- VS Code, JetBrains, Neovim, 12+ others(winner)IDE SupportVS Code, JetBrains, Visual Studio, 8+ others
- LimitedAWS Service IntegrationNative AWS SDK/service suggestions(winner)
- 8,000 tokens (32K in experiments)Context Window Size10,000 tokens
- Yes, logs code referencesCode Security ScanningBuilt-in, filters AWS credential detection(winner)
- Pricing Model
GitHub Copilot
$10/month or $100/year (individual)
Amazon CodeWhisperer
Free tier + $19/month Pro(winner)
- Supported Languages
GitHub Copilot
80+ languages(winner)
Amazon CodeWhisperer
15+ languages
- Training Data Cutoff
GitHub Copilot
April 2024(winner)
Amazon CodeWhisperer
December 2023
- IDE Support
GitHub Copilot
VS Code, JetBrains, Neovim, 12+ others(winner)
Amazon CodeWhisperer
VS Code, JetBrains, Visual Studio, 8+ others
- AWS Service Integration
GitHub Copilot
Limited
Amazon CodeWhisperer
Native AWS SDK/service suggestions(winner)
- Context Window Size
GitHub Copilot
8,000 tokens (32K in experiments)
Amazon CodeWhisperer
10,000 tokens
- Code Security Scanning
GitHub Copilot
Yes, logs code references
Amazon CodeWhisperer
Built-in, filters AWS credential detection(winner)
Full Comparison
| Attribute | GitHub Copilot | Amazon CodeWhisperer |
|---|---|---|
| IDE Integration Points(count) | 10+ IDEs | — |
| Supported IDE Count(integrations) | 60+ | — |
| Supported IDEs/Editors(count) | 6 major platforms | — |
| Supported Editors/IDEs(count) | 20+ IDEs | — |
| Supported Development Environments(count) | 10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.) | — |
Show 1 more attributeSupported IDE Platforms(count) 5 — | ||
| Setup Time(minutes) | 2-3 minutes | — |
| Learning Curve (1=easy, 5=hard)(score) | 1 (IDE-native, like autocomplete) | — |
| Setup Time (First Use)(minutes) | 0.5 minutes | — |
| 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 | — |
Show 1 more attributePrimary AI Model GPT-4o / o1 (OpenAI) — | ||
| Enterprise SSO Support | Yes | — |
| Community Size(users) | Very Large | — |
| Free Trial Period(days) | 30 days | — |
| Learning Curve(hours to proficiency) | Minimal (extension) | — |
| 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 | — |
Show 19 more attributesFree Chat Messages Per Month(messages) 50 — Monthly Cost (Business)(USD) $19 — Self-Hosted Option Not available — Free Trial Duration(days) 30 days (free tier limited) — 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 — Monthly Cost (Individual)(USD) $10/month $0 (free tier) Annual Cost (1-Person Subscription)(USD) $120 (monthly) or $100 (annual with 17% discount) $0 Monthly Cost(USD) $10 — Free Tier Available Yes (GitHub Copilot Free) — Free Tier Availability 30-day trial only — Pro Plan Monthly Cost(USD) $20/month — Monthly Subscription Cost(USD) $10 or free 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) — Monthly Cost (Individual Plan)(USD) $10/month — | ||
| 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) | — |
| 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 | — |
| IDE/Editor Integrations(integrations) | 40+(winner) | 8 |
| Lines of Code per Suggestion(lines) | Up to 150 lines(winner) | Up to 100 lines |
Show 5 more attributesAvailable Extensions/Integrations(count) 5 IDE integrations — Multi-file Project Editing Limited to referenced files — Supported Programming Languages(count) 80+ languages 15 languages Supported Languages(languages) 90+ languages — Chat & Code Explanation Feature Available in all tiers — | ||
| 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 | — |
Show 10 more attributesAverage Response Time for Code Suggestion(seconds) 0.5-1 (inline suggestion) — Code Completion Accuracy Rate(%) 78% — Average Suggestion Latency(milliseconds) 280ms — Average Code Suggestion Time(seconds) 2-5 seconds per suggestion — Single-Line Completion Accuracy(%) 92% — Code Completion Latency(milliseconds) 150-250ms per suggestion — Context Window Size(tokens) 8,000 tokens 10,000 tokens 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) — | ||
| 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) | — |
| Built-in Security Scanning | Limited (logs code references) | Yes (credential + secret detection) |
| Enterprise Security Certifications | SOC 2 Type II, ISO 27001 | — |
| Max Context Window(tokens) | 12,000 tokens (GPT-4) | — |
| Agentic Task Execution | Suggestion-based only, no autonomous execution | — |
| Compatible Editors | VS Code, JetBrains, Neovim, Visual Studio, Sublime | — |
| IDE Support Count(platforms) | 5 major IDEs | — |
| Compatible Editors/IDEs(platforms) | 15+ editors (VS Code, JetBrains, Vim, Neovim, etc.) | — |
| 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) | — |
Show 4 more attributesSupported IDEs/Platforms(count) 5+ (VS Code, JetBrains suite, GitHub.com, etc.) — IDE Integration Support 8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.) — IDE/Editor Support(count) 15+ IDEs 11 IDEs AWS Service Integration Limited (generic suggestions) Native (context-aware AWS SDK suggestions) | ||
| Code Completion Accuracy(percent) | 92%(winner) | 78% |
| On-Premise Deployment | Not available | — |
| Self-Hosted Enterprise Option | Not available | — |
| Training Data Recency(months_old) | October 2023 (~27 months old) | — |
| Estimated Paid User Base(users) | ~1,200,000 | — |
| 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 | — |
| File Scope (Max Suggested Edit)(files) | Single file at a time | — |
| Supported AI Models | GitHub Copilot (proprietary, Codex-based) | — |
| AI Provider Options(count) | 1 | — |
| Model Customization | No: GitHub Copilot model is fixed and proprietary | — |
| Offline Capability | No (cloud-only) | — |
| 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) | No code retention |
| Data Processing Location | Cloud (GitHub servers) | — |
| Average Response Latency(milliseconds) | 1350ms | 1,200ms(winner) |
| Training Data Cutoff(year) | April 2024(winner) | September 2023 |
| Installation Size(MB) | ~15 MB extension | — |
| Global Developer Adoption(percent) | 27% of developers | — |
| Development Time Reduction(percent) | 20-40% faster on routine tasks | — |
| Coding Speed Improvement(percent) | 35-55% | — |
| AI Model Options(models) | 2 (GPT-4, Claude) | — |
| User Base Size(millions) | 1.5+ million (GitHub official, 2024) | — |
| Developer Adoption(percent) | 37% | — |
| Enterprise SLA Support(boolean) | Yes (GitHub Enterprise available) | — |
| Setup Complexity(complexity score) | 2–5 min (GitHub sign-in) | — |
| Developer Satisfaction Rate(%) | 91% | — |
| Market Adoption Share(%) | 55% | — |
| Active Users(millions) | 27 million | — |
| Years Since Launch(years) | 4+ years (2021) | — |
| Context Window(tokens) | 8,000 tokens (~6,000 words) | — |
| 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) | — |
| Training Data Cutoff Date | April 2024 | December 2023 |
| Maximum Context Window(tokens) | 8,000 | — |
| Training Data Size(repositories) | 250,000,000 | — |
| Code Suggestion Accuracy(percent) | 57% | — |
| Available Extensions(extensions) | Integration with VS Code | — |
| Git Integration | None: requires manual git commands outside Copilot | — |
| Self-Hosted Deployment | Not available | — |
GGitHub Copilot
AAmazon CodeWhisperer
IDE Integration Points(count)
10+ IDEs
—
Supported IDE Count(integrations)
60+
—
Supported IDEs/Editors(count)
6 major platforms
—
Supported Editors/IDEs(count)
20+ IDEs
—
Supported Development Environments(count)
10+ (VS Code, JetBrains, Visual Studio, Neovim, etc.)
—
Show 1 more attribute
Supported IDE Platforms(count)
5
—
Setup Time(minutes)
2-3 minutes
—
Learning Curve (1=easy, 5=hard)(score)
1 (IDE-native, like autocomplete)
—
Setup Time (First Use)(minutes)
0.5 minutes
—
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
—
Show 1 more attribute
Primary AI Model
GPT-4o / o1 (OpenAI)
—
Enterprise SSO Support
Yes
—
Community Size(users)
Very Large
—
Free Trial Period(days)
30 days
—
Learning Curve(hours to proficiency)
Minimal (extension)
—
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
—
Show 19 more attributes
Free Chat Messages Per Month(messages)
50
—
Monthly Cost (Business)(USD)
$19
—
Self-Hosted Option
Not available
—
Free Trial Duration(days)
30 days (free tier limited)
—
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
—
Monthly Cost (Individual)(USD)
$10/month
$0 (free tier)
Annual Cost (1-Person Subscription)(USD)
$120 (monthly) or $100 (annual with 17% discount)
$0
Monthly Cost(USD)
$10
—
Free Tier Available
Yes (GitHub Copilot Free)
—
Free Tier Availability
30-day trial only
—
Pro Plan Monthly Cost(USD)
$20/month
—
Monthly Subscription Cost(USD)
$10 or free 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)
—
Monthly Cost (Individual Plan)(USD)
$10/month
—
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)
—
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
—
IDE/Editor Integrations(integrations)
40+
8
Lines of Code per Suggestion(lines)
Up to 150 lines
Up to 100 lines
Show 5 more attributes
Available Extensions/Integrations(count)
5 IDE integrations
—
Multi-file Project Editing
Limited to referenced files
—
Supported Programming Languages(count)
80+ languages
15 languages
Supported Languages(languages)
90+ languages
—
Chat & Code Explanation Feature
Available in all tiers
—
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
—
Show 10 more attributes
Average Response Time for Code Suggestion(seconds)
0.5-1 (inline suggestion)
—
Code Completion Accuracy Rate(%)
78%
—
Average Suggestion Latency(milliseconds)
280ms
—
Average Code Suggestion Time(seconds)
2-5 seconds per suggestion
—
Single-Line Completion Accuracy(%)
92%
—
Code Completion Latency(milliseconds)
150-250ms per suggestion
—
Context Window Size(tokens)
8,000 tokens
10,000 tokens
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)
—
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)
—
Built-in Security Scanning
Limited (logs code references)
Yes (credential + secret detection)
Enterprise Security Certifications
SOC 2 Type II, ISO 27001
—
Max Context Window(tokens)
12,000 tokens (GPT-4)
—
Agentic Task Execution
Suggestion-based only, no autonomous execution
—
Compatible Editors
VS Code, JetBrains, Neovim, Visual Studio, Sublime
—
IDE Support Count(platforms)
5 major IDEs
—
Compatible Editors/IDEs(platforms)
15+ editors (VS Code, JetBrains, Vim, Neovim, etc.)
—
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)
—
Show 4 more attributes
Supported IDEs/Platforms(count)
5+ (VS Code, JetBrains suite, GitHub.com, etc.)
—
IDE Integration Support
8+ (VS Code, JetBrains Suite, Vim, Visual Studio, etc.)
—
IDE/Editor Support(count)
15+ IDEs
11 IDEs
AWS Service Integration
Limited (generic suggestions)
Native (context-aware AWS SDK suggestions)
Code Completion Accuracy(percent)
92%
78%
On-Premise Deployment
Not available
—
Self-Hosted Enterprise Option
Not available
—
Training Data Recency(months_old)
October 2023 (~27 months old)
—
Estimated Paid User Base(users)
~1,200,000
—
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
—
File Scope (Max Suggested Edit)(files)
Single file at a time
—
Supported AI Models
GitHub Copilot (proprietary, Codex-based)
—
AI Provider Options(count)
1
—
Model Customization
No: GitHub Copilot model is fixed and proprietary
—
Offline Capability
No (cloud-only)
—
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)
No code retention
Data Processing Location
Cloud (GitHub servers)
—
Average Response Latency(milliseconds)
1350ms
1,200ms
Training Data Cutoff(year)
April 2024
September 2023
Installation Size(MB)
~15 MB extension
—
Global Developer Adoption(percent)
27% of developers
—
Development Time Reduction(percent)
20-40% faster on routine tasks
—
Coding Speed Improvement(percent)
35-55%
—
AI Model Options(models)
2 (GPT-4, Claude)
—
User Base Size(millions)
1.5+ million (GitHub official, 2024)
—
Developer Adoption(percent)
37%
—
Enterprise SLA Support(boolean)
Yes (GitHub Enterprise available)
—
Setup Complexity(complexity score)
2–5 min (GitHub sign-in)
—
Developer Satisfaction Rate(%)
91%
—
Market Adoption Share(%)
55%
—
Active Users(millions)
27 million
—
Years Since Launch(years)
4+ years (2021)
—
Context Window(tokens)
8,000 tokens (~6,000 words)
—
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)
—
Training Data Cutoff Date
April 2024
December 2023
Maximum Context Window(tokens)
8,000
—
Training Data Size(repositories)
250,000,000
—
Code Suggestion Accuracy(percent)
57%
—
Available Extensions(extensions)
Integration with VS Code
—
Git Integration
None: requires manual git commands outside Copilot
—
Self-Hosted Deployment
Not available
—
Pros & Cons
10 pros·6 cons across both
GC
AC
GC
GitHub Copilot
+5-3
Pros
- 80+ programming languages supported (Python, JavaScript, TypeScript, Java, Go, Rust, C++, etc.)
- GPT-4 integration for advanced reasoning and complex code generation
- 8,000+ token context window captures larger code blocks
- Extensive IDE/editor support (VS Code, JetBrains, Neovim, Visual Studio, Xcode)
- Copilot X features include chat interface and PR review capabilities
Cons
- $10/month individual cost with no free tier option
- Security concerns: training data includes public GitHub code without explicit consent
- Occasional hallucinations generating plausible but incorrect code patterns
AC
Amazon CodeWhisperer
+5-3
Pros
- Free tier available for individual developers (no credit card required)
- Native AWS SDK and service integration with context-aware suggestions
- Built-in security scanning detects hardcoded credentials (API keys, passwords) automatically
- No code retention policies—AWS doesn't store user code for model training
- Support for 15 languages including Python, Java, JavaScript, TypeScript, C#
Cons
- Limited to 15 programming languages vs Copilot's 80+
- Smaller training dataset results in fewer suggestions for non-AWS frameworks
- Less mature community ecosystem compared to GitHub Copilot (smaller user base)
Frequently Asked Questions
5 questions
GitHub Copilot is better for learning due to its 80+ language support and more educational suggestions across diverse frameworks. CodeWhisperer works well for AWS-specific learning paths. Both are free for students through GitHub Student Pack and AWS Educate.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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