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← Back to Aider Overview

Aider Pricing & Plans 2026

Complete pricing guide for Aider. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Aider Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Aider is worth it →

🆓Free Tier Available
💎1 Paid Plans
⚡No Setup Fees

Choose Your Plan

Most Popular

Free (Open Source)

$0

forever

LLM API costs apply separately (e.g., Claude 3.7 Sonnet ~$3/$15 per M tokens, GPT-4o ~$2.50/$10 per M tokens). Local models via Ollama are free.

  • ✓Full terminal application (Apache 2.0 license)
  • ✓All features included: repo mapping, architect mode, ask mode
  • ✓Connect any cloud or local LLM
  • ✓All 100+ programming languages
  • ✓Git integration with auto-commits
  • ✓No usage limits from Aider itself
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Pricing sourced from Aider · Last verified March 2026

Is Aider Worth It?

✅ Why Choose Aider

  • • Completely free and open-source with no feature gating or usage limits
  • • Direct file editing eliminates the copy-paste cycle of suggestion-based tools
  • • Automatic git commits create a clean, reviewable history of every AI change
  • • Model-agnostic: use whichever LLM fits the task and budget, including local models for free
  • • Repo mapping enables complex multi-file refactoring that simpler tools cannot handle
  • • Terminal-native works everywhere: local dev, SSH sessions, CI environments, any OS

⚠️ Consider This

  • • Requires terminal comfort; no GUI available for developers who prefer visual interfaces
  • • Direct file editing demands more trust than suggestion-based tools (though git makes reverting easy)
  • • Initial setup requires configuring API keys for your chosen LLM provider
  • • No inline code suggestions or visual diffs like IDE-based assistants (Copilot, Cursor)
  • • LLM costs are separate and can add up during heavy refactoring sessions ($5-20/day with cloud models)

What Users Say About Aider

👍 What Users Love

  • ✓Completely free and open-source with no feature gating or usage limits
  • ✓Direct file editing eliminates the copy-paste cycle of suggestion-based tools
  • ✓Automatic git commits create a clean, reviewable history of every AI change
  • ✓Model-agnostic: use whichever LLM fits the task and budget, including local models for free
  • ✓Repo mapping enables complex multi-file refactoring that simpler tools cannot handle
  • ✓Terminal-native works everywhere: local dev, SSH sessions, CI environments, any OS

👎 Common Concerns

  • ⚠Requires terminal comfort; no GUI available for developers who prefer visual interfaces
  • ⚠Direct file editing demands more trust than suggestion-based tools (though git makes reverting easy)
  • ⚠Initial setup requires configuring API keys for your chosen LLM provider
  • ⚠No inline code suggestions or visual diffs like IDE-based assistants (Copilot, Cursor)
  • ⚠LLM costs are separate and can add up during heavy refactoring sessions ($5-20/day with cloud models)

Pricing FAQ

Is Aider really free?

Aider itself is free and open-source under the Apache 2.0 license. However, you need an LLM to power it. Cloud models like Claude 3.7 Sonnet or GPT-4o charge per token (typically $3-15 per million tokens). If you use local models through Ollama or LM Studio, the entire stack is free. A typical coding session with cloud models costs $0.50-5.00 depending on codebase size and request complexity.

How does Aider compare to Cursor and GitHub Copilot?

Cursor ($20/month) and Copilot ($10-19/month) are IDE-based tools that offer inline suggestions and chat within the editor. Aider is free, terminal-based, and edits files directly with auto-commits. Aider gives you more model flexibility and works in any environment, but lacks the visual polish of IDE-integrated tools. If you live in VS Code, Cursor is more convenient. If you live in the terminal or want to avoid subscription fees, Aider is the better pick.

Which LLM works best with Aider?

Claude 3.7 Sonnet is the top performer for complex multi-file edits and refactoring. GPT-4o is a close second and cheaper for simpler tasks. DeepSeek R1 excels at reasoning-heavy problems like algorithm design. For local models, Qwen 2.5 Coder 32B via Ollama provides decent quality for routine work at zero cost.

Can Aider work with private or local codebases?

Yes. Aider runs locally on your machine and only sends code context to whatever LLM you configure. For complete privacy, use a local model through Ollama or LM Studio. No code leaves your machine. For cloud models, only the files you explicitly add to the chat are sent to the API.

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