WhichLLM tests local language models on a user’s hardware and ranks them using recent benchmarks.
Aider LLM Leaderboards
Aider LLM Leaderboards compares language models on code editing benchmarks.

About Aider LLM Leaderboards
Aider LLM Leaderboards compares large language models on code editing. It uses Aider's polyglot benchmark, which tests models on 225 Exercism coding exercises across C++, Go, Java, JavaScript, Python, and Rust. The benchmark measures how well a model follows instructions and edits code successfully without human intervention.
Each model run is listed with its percent correct, cost, command, and edit format. Detail views add pass rates, malformed response counts, error types, token counts, run dates, and Aider version numbers. The results apply to the specific runs shown, and the page does not state pricing for the leaderboard itself.
Key features
- Polyglot benchmark of 225 Exercism exercises across six programming languages
- Leaderboard listing percent correct, cost, command, and edit format for each model run
- Detail view with pass rates, test case counts, and malformed response counts
- Error breakdown including syntax errors, indentation errors, and test timeouts
- Run metadata including date, Aider version, commit hash, and reasoning effort setting
- Token counts, seconds per case, and total cost recorded for each run
- Each result records the exact command, edit format, date, and Aider version used.
- A single benchmark covers six programming languages.
- Accuracy results appear alongside cost and token usage for each run.
- The benchmark is built from Exercism coding exercises, and the page does not state how results carry over to other kinds of coding work.
Aider LLM Leaderboards at a glance
- Website
- aider.chat/docs/leaderboards
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web, Windows
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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