Aider vs Tabnine: Side-by-Side Comparison 2026

Aider vs Tabnine comparison 2026. Side-by-side features, pricing & capabilities.

Feature Aider Tabnine
Category AgentExtension
Starting Price Free $12/mo
Model Family Multi-model (any)Multi-model
Context Window Depends on modelNot disclosed
Code Completion
Chat
Inline Editing
Agentic Mode
Multi-File Editing
Terminal Commands
Browser Use
Test Generation
Debugging
Refactoring
Code Review
PR Review
Documentation
Image to Code
Voice Input
App Generation
Deployment
Git Integration
Supported IDEs Terminal (editor-agnostic)VS Code, JetBrains (all), Eclipse, Visual Studio 2022, Vim/Neovim
Open Source Yes (Apache 2.0)No

Pricing verified 2026-02-05. Aider pricing | Tabnine pricing

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Overview

Aider is ai agent from Paul Gauthier (Open Source). Tabnine is editor extension from Tabnine. Both tools are actively maintained as of 2026.

Aider: What You Get

Open-source CLI tool for AI pair programming. Works with OpenAI, Claude, and other models to edit code in your local git repo.

  • Git-aware editing
  • Multi-file editing
  • Model agnostic
  • Voice coding
  • Image support
  • Linting integration

Pricing: Free. 1 plan available.

Models: Claude 3.5 Sonnet, GPT-4o, GPT-4, Gemini, DeepSeek, Groq, local (Ollama), any OpenAI-compatible

Tabnine: What You Get

AI code assistant focused on privacy and enterprise use, with local model options and team-trained AI.

  • Code completions
  • Chat
  • Local model option
  • Team training
  • Privacy-first

Pricing: $12/mo. 2 plans available.

Models: Claude 3.5 Sonnet, GPT-4.1, GPT-4o, GPT-5, Gemini 2.0 Flash, Gemini 2.5 Pro, Qwen 2.5, Llama 3.3, Mistral 7B

Key Differences

  • Category: Aider is ai agent, Tabnine is editor extension.
  • Free tier: Aider has a free tier; Tabnine does not.
  • Model family: Aider uses Multi-model (any); Tabnine uses Multi-model.

Which Should You Choose?

Choose Aider if you want Fully open-source with transparent development. Choose Tabnine if you want Local models keep code off the cloud. Both tools are strong options — the right choice depends on your workflow and priorities.

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