Aider
Open-source command-line AI coding partner that edits code directly in your local git repo. Bring your own API key, pay only for what you use.
Updated 2026-04-30
Yes. Aider is free to use.
Listed pricing: Free (BYOK — pay your LLM provider).
Overview
Aider is a command-line tool that lets you pair-program with LLMs directly in your terminal. Point it at a git repo, tell it what you want to change in plain English, and it edits your source files and commits the results. It's not a code completion plugin or an IDE — it's a conversation-driven coding partner that works alongside whatever editor you already use.
What sets Aider apart from GUI-based AI coding tools is its deep git integration. Every change Aider makes is automatically committed with a descriptive message, giving you a clean history and easy rollback. It builds a "repo map" using tree-sitter to understand your project's structure — classes, functions, imports — so it can make accurate edits across multiple files without losing context.
Aider supports a wide range of models including Claude Sonnet/Opus, GPT-4o, Gemini, DeepSeek, and local models via Ollama. Since it's BYOK (bring your own key), you pay only for the API calls you make. This makes it especially popular with developers who want maximum flexibility and transparency over costs, and who don't want to abandon their existing terminal-centric workflow for a new IDE.
Is Aider free?
Yes. Aider is free to use.
What the free tier covers: The tool itself is completely free and open-source. You pay only for LLM API usage from your chosen provider.
Listed pricing: Free (BYOK — pay your LLM provider).
Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.
What the free tier leaves out
Read straight off the plan list below. Vendors move features between tiers, so check the current split before you pay.
- LLM API costs Pay-per-use You pay your LLM provider directly — typically $0.01–$0.10 per coding request depending on model
Aider pricing
| Plan | Price | What's included |
|---|---|---|
| Aider (tool) | Free | Open-source, install via pip, unlimited usage |
| LLM API costs | Pay-per-use | You pay your LLM provider directly — typically $0.01–$0.10 per coding request depending on model |
Open-source, install via pip, unlimited usage
You pay your LLM provider directly — typically $0.01–$0.10 per coding request depending on model
One plan carries no published number: LLM API costs, recorded as “Pay-per-use”. Nothing is estimated in its place. The vendor's own pricing page is the only source for those figures.
Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.
Is Aider worth it?
Worth it for Terminal-based developers who want an AI pair programmer that edits their local git repo directly, without adopting a new IDE.
You can test that on the free tier before paying anything. The recorded trade-offs are listed below, and any one of them can settle the question on its own.
The 8.6/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with Aider. How we verify.
Worth it if
The strengths recorded against this entry.
- Completely open-source with an active community and frequent updates
- Automatic git commits give a clean audit trail and easy rollback for every AI change
- Works with any LLM — swap between Claude, GPT, Gemini, or local models freely
- No IDE lock-in: use it alongside Vim, Emacs, VS Code, or anything else
Not worth it if
Any one of these blocks your use case.
- Terminal-only interface has a steep learning curve for non-CLI users
- Requires your own API keys — no turnkey experience like Cursor or Copilot
- No inline code completion or real-time suggestions; it's conversation-driven only
- Large codebases can burn through API tokens quickly with repo-map context
What sets Aider apart
- Automatically git-commits every AI change with a descriptive message for a clean audit trail
- Builds a tree-sitter repo map to make accurate edits across multiple files
- Works with any LLM — Claude, GPT-4o, Gemini, DeepSeek, or local Ollama models
- Free, open-source, bring-your-own-API-key pricing with no turnkey subscription
Key features
Terminal-based
Runs entirely in the terminal with no GUI overhead. Works with tmux, SSH sessions, and remote dev environments. Integrates with your existing editor and shell workflow.
Git-native
Every AI-generated change is automatically committed with a descriptive message. Clean diffs, easy rollbacks, and full audit trail of what the AI changed and why.
Multi-model
Supports Claude, GPT-4o, Gemini, DeepSeek, Llama, and dozens more via OpenAI-compatible APIs or Ollama for local models. Switch models mid-session with /model.
How it compares
| Tool | Best for | Pricing | Score |
|---|---|---|---|
| Aider | Terminal-based developers who want an AI pair programmer that edits their local git repo directly, without adopting a new IDE. | Free (BYOK — pay your LLM provider) | 8.6/10 |
| Cursor vs Cursor → | Professional developers handling complex, multi-file refactors who want AI built into a familiar VS Code-based editor. | Free Hobby + Individual $20/mo + Teams $40/user/mo + Enterprise Custom | 9.5/10 |
| GPT-5.5 vs GPT-5.5 → | Developers and teams needing a frontier reasoning model for agentic coding workflows and large-codebase context handling. | API: $5/$30 per 1M tokens (in/out). ChatGPT Plus $20/mo, Pro $200/mo | 9.4/10 |
| Claude Code vs Claude Code → | Developers who want an agent that works inside an existing repo and toolchain rather than in a hosted editor, and who already pay for a Claude plan. | Included with Claude Pro $17/mo, Max 5x $100/mo, Max 20x $200/mo, Team and Enterprise plans | 9.3/10 |
Compare head-to-head
Related reading
GLM-5.2: Z.ai Open Model Tops Coding Benchmarks
Z.ai's GLM-5.2 open-weights model beats GPT-5.5 on long-horizon coding benchmarks at a fraction of the cost, per VentureBeat.
Anthropic Traced More Than 23 Million Exchanges
Anthropic attributed more than 23 million exchanges to Moonshot between May and July in its September 2026 threat intelligence report.
23 Million Exchanges in Anthropic Misuse Report
Anthropic published its September 2026 threat intelligence report covering misuse cases disrupted between December 2025 and August 2026.
Ready to try Aider?
Head to the official site to start with Aider — pricing and plans are listed above.
Visit Aider

