Ship code faster with AI pair programmers.
Pricing verified July 2026
Best for creators, teams and developers
The most capable autonomous coding agent
From $17/mo (Claude Pro, billed annually)
The AI-first IDE that changed the category
Free tier (Hobby)
A cloud coding agent bundled into ChatGPT
Free (limited trial)
The default choice inside the GitHub ecosystem
Free tier (2,000 completions/mo)
Agentic 'Cascade' flows in a polished IDE
Free tier
From prompt to deployed app in the browser
Free tier (Starter)
Google's free, open-source terminal agent
Free tier (1,000 requests/day)
The AWS-native assistant
Free tier
Native AI inside IntelliJ-family IDEs
Free tier (3 AI credits/mo)
The privacy-first, self-hostable assistant
$39/user/mo (annual only)
Choosing guide
Start with your workflow, then compare the limits that affect daily use. A higher rank does not automatically make a tool the best fit for every user.
Compare code accuracy, repository context, IDE support, agent controls, privacy terms and how clearly changes can be reviewed.
Choose around autocomplete, debugging, code review, test generation, repository-wide changes or terminal-based automation.
Individual developers need speed and reliable suggestions, while teams need policy controls, auditability and secure code handling.
| Tool | Price from | Rating |
|---|---|---|
 Claude Code | From $17/mo (Claude Pro, billed annually) | 4.8 |
 Cursor | Free tier (Hobby) | 4.6 |
 OpenAI Codex | Free (limited trial) | 4.5 |
 GitHub Copilot | Free tier (2,000 completions/mo) | 4.4 |
| Windsurf | Free tier | 4.2 |
 Replit Agent | Free tier (Starter) | 4.1 |
 Gemini CLI | Free tier (1,000 requests/day) | 4.1 |
 Amazon Q Developer | Free tier | 4.0 |
 JetBrains AI Assistant | Free tier (3 AI credits/mo) | 4.0 |
 Tabnine | $39/user/mo (annual only) | 3.9 |
Prioritize code accuracy, repository-wide context, IDE support, reviewable changes, privacy terms and controls over agent actions. The best fit should match your language, editor and development workflow.
Free access can be sufficient for autocomplete and occasional questions. Upgrade when you need larger repository context, more agent runs, premium models, team policies or reliable use throughout the working day.
Use a small real repository and assign the same bug fix, refactor and test-writing task. Review correctness, unnecessary file changes, security issues and how much human cleanup is required before merging.
Look for premium-request quotas, model-based multipliers, extra team seats, usage-based agents and separate API charges. Also count the engineering time spent reviewing incorrect or overly broad edits.
Confirm that private code is excluded from training, retention can be controlled and agent permissions can be limited. Teams should also require audit logs, access management and a mandatory human review before code is merged.