Aider vs HandyAI

What is Aider?

Aider is an AI Code tool that facilitates AI pair programming in your terminal. Its main job is to assist developers in starting new projects or building on existing codebases.

Who is Aider for?

Aider is designed for developers and programmers who want to enhance their coding efficiency through AI assistance. It is particularly useful for those working on larger projects or looking to integrate voice commands into their coding workflow.

What can I do with Aider?

With Aider, you can engage in AI pair programming, utilize Git integration for managing code changes, and employ voice-to-code functionality for hands-free coding. Additionally, Aider offers linting and testing to ensure code quality.

How much does Aider cost?

Aider publishes a custom / contact-sales pricing model — get a quote on their site.

How is Aider different from alternatives?

Aider differentiates itself by offering a flexible integration with various LLMs and a strong focus on in-IDE usage, allowing developers to interact with AI directly within their coding environment.

How is the token count calculated?

For OpenAI models we run the official BPE tokenizer (`cl100k_base` for GPT-3.5/4, `o200k_base` for GPT-4o) via js-tiktoken — same exact algorithm OpenAI uses. For Claude we use Anthropic's published Claude 2 tokenizer, which matches Claude 3+ within ~5% for English text. For Gemini we approximate at ~4 chars/token because no public Gemini tokenizer exists.

Does my text leave the browser?

No. All tokenization is client-side. Nothing is sent to any server — not ours, not OpenAI's, not Anthropic's. Open your network tab and verify if you like.

Why are input and output prices different?

Providers charge more for tokens the model _generates_ than for tokens you _supply_. Output tokens are computationally more expensive because the model decodes them autoregressively. The toggle above lets you project either side of the cost.

How much does 1M tokens cost in May 2026?

Roughly: **Claude 3.5 Sonnet** is $3 in / $15 out per 1M tokens. **GPT-4o** is $2.50 / $10. **Claude Haiku** is $0.25 / $1.25. **GPT-4o-mini** is $0.15 / $0.60. **Gemini 1.5 Flash** is $0.075 / $0.30. The cheap models are 20-100x cheaper than the flagship models — a big lever for high-volume apps.

How accurate are these cost projections?

Exact for a known workload — the math is straightforward: (input × input rate) + (output × output rate), with the cached fraction billed at the model's cached-input rate. Pricing comes from each provider's published rate card. The variable is how well your typed numbers match your actual workload. If you don't know your token sizes, the [Token Counter](https://handyai.tools/tools/token-counter/) helps you calibrate against a real sample.