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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.

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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

Open Source (MIT)

Free

mo

  • ✓Full Aider CLI with all features
  • ✓Multi-model support (Claude, GPT-4o, DeepSeek, o3-mini, local)
  • ✓Repo map and 100+ language support
  • ✓Automatic Git commits, lint, and test integration
  • ✓Voice-to-code, image, and web page context
  • ✓Community support via Discord and GitHub (44K stars)
Start Free →

API Usage (pay-per-token, paid to LLM provider)

$0.02–$6.00 per session

mo

  • ✓DeepSeek Coder: ~$0.02–$0.10/session
  • ✓Claude 3.5/3.7 Sonnet: ~$0.50–$2.00/session
  • ✓GPT-4 Turbo / GPT-4o: ~$1.50–$6.00/session
  • ✓Typical monthly spend: $10–30 light, $50–100 heavy
  • ✓Local models via Ollama/LM Studio: $0
Start Free Trial →

Pricing sourced from Aider · Last verified March 2026

Feature Comparison

FeaturesOpen Source (MIT)API Usage (pay-per-token, paid to LLM provider)
Full Aider CLI with all features✓✓
Multi-model support (Claude, GPT-4o, DeepSeek, o3-mini, local)✓✓
Repo map and 100+ language support✓✓
Automatic Git commits, lint, and test integration✓✓
Voice-to-code, image, and web page context✓✓
Community support via Discord and GitHub (44K stars)✓✓
DeepSeek Coder: ~$0.02–$0.10/session—✓
Claude 3.5/3.7 Sonnet: ~$0.50–$2.00/session—✓
GPT-4 Turbo / GPT-4o: ~$1.50–$6.00/session—✓
Typical monthly spend: $10–30 light, $50–100 heavy—✓
Local models via Ollama/LM Studio: $0—✓

Is Aider Worth It?

✅ Why Choose Aider

  • • Completely free and open-source (MIT license) with 44K GitHub stars and 6.8M installs — you only pay for the underlying LLM API calls
  • • Direct file editing eliminates the copy-paste cycle that slows down sidebar-based AI coding assistants, saving 10-15 minutes per feature
  • • Automatic Git commits with sensible messages provide clear history of AI-assisted changes that integrate with familiar diff/undo workflows
  • • Supports 100+ programming languages and virtually any LLM — Claude 3.7 Sonnet, DeepSeek R1, GPT-4o, o3-mini, plus local Ollama/LM Studio models
  • • Scored 49.2% on SWE-bench Verified, competitive with paid alternatives while remaining fully open-source
  • • Voice-to-code and image/webpage input expand input modalities beyond pure text-based prompting

⚠️ Consider This

  • • Requires terminal comfort and command-line familiarity which may be challenging for GUI-focused developers
  • • No built-in cost tracker means users can burn $15-20 in a single session without realizing it — you must monitor your API provider dashboard separately
  • • Direct file editing requires more trust and careful review compared to suggestion-based tools like Copilot
  • • Context limits on large codebases (100K+ lines) hurt performance versus tools with specialized indexing like Sourcegraph Cody
  • • Setup requires pip install and configuring API keys — less plug-and-play than IDE extensions like Cursor or Copilot

What Users Say About Aider

👍 What Users Love

  • ✓Completely free and open-source (MIT license) with 44K GitHub stars and 6.8M installs — you only pay for the underlying LLM API calls
  • ✓Direct file editing eliminates the copy-paste cycle that slows down sidebar-based AI coding assistants, saving 10-15 minutes per feature
  • ✓Automatic Git commits with sensible messages provide clear history of AI-assisted changes that integrate with familiar diff/undo workflows
  • ✓Supports 100+ programming languages and virtually any LLM — Claude 3.7 Sonnet, DeepSeek R1, GPT-4o, o3-mini, plus local Ollama/LM Studio models
  • ✓Scored 49.2% on SWE-bench Verified, competitive with paid alternatives while remaining fully open-source
  • ✓Voice-to-code and image/webpage input expand input modalities beyond pure text-based prompting

👎 Common Concerns

  • ⚠Requires terminal comfort and command-line familiarity which may be challenging for GUI-focused developers
  • ⚠No built-in cost tracker means users can burn $15-20 in a single session without realizing it — you must monitor your API provider dashboard separately
  • ⚠Direct file editing requires more trust and careful review compared to suggestion-based tools like Copilot
  • ⚠Context limits on large codebases (100K+ lines) hurt performance versus tools with specialized indexing like Sourcegraph Cody
  • ⚠Setup requires pip install and configuring API keys — less plug-and-play than IDE extensions like Cursor or Copilot

Pricing FAQ

How does Aider compare to Cursor?

Aider is terminal-based, open-source (MIT licensed), and supports any LLM with pay-per-use API pricing. Cursor is a GUI IDE fork of VS Code with a $20/month Pro subscription that bundles model access. Choose Aider for command-line workflows, clean Git history, and model flexibility; choose Cursor for visual inline suggestions, chat panels, and a traditional IDE experience. Aider also has no vendor lock-in — if Anthropic or OpenAI pricing changes, you switch providers with a flag.

What do API costs actually look like in practice?

Light developers typically spend $10-30/month on API calls; heavy users $50-100/month. A typical session costs $0.50-$2.00 with Claude 3.5 Sonnet, $1.50-$6.00 with GPT-4 Turbo, and just $0.02-$0.10 with DeepSeek Coder. There's no built-in cost tracking, so you'll need to monitor your Anthropic, OpenAI, or DeepSeek dashboard to avoid surprise bills. Users on Reddit and Hacker News have reported burning $15-20 in a single long refactoring session.

Can I use local models with Aider?

Yes — Aider supports local LLMs through Ollama and LM Studio, making it completely free to run if you have the hardware. You'll need at least 16GB of RAM, with 32GB+ recommended for larger models. Be aware that local models produce meaningfully lower quality edits than frontier cloud APIs like Claude 3.7 Sonnet or GPT-4o, especially for complex multi-file refactors. Most users run a cheap cloud model like DeepSeek for quality and keep local as a fallback.

Does Aider work well with large codebases?

Aider works well on projects under 50,000 lines thanks to its repo map feature, which builds a compressed understanding of your codebase structure. Projects above 100K lines routinely hit context window limits, causing the tool to miss relevant files or produce inconsistent edits. For massive monorepos, Sourcegraph Cody or Cursor's indexed codebase search tend to perform better. You can mitigate Aider's limits by manually adding specific files to the chat rather than relying on automatic discovery.

What does 'singularity 88%' mean on the Aider homepage?

The 88% singularity metric means that roughly 88% of Aider's own source code was written by Aider itself — a self-referential benchmark showing the maintainers use their own tool in production. This is reported alongside 44K GitHub stars, 6.8M installs, and 15 billion tokens processed per week. It's a credibility signal: the tool is mature enough to build itself. For users, it suggests the workflow is battle-tested on a real, non-trivial Python codebase.

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