AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

Aider

Aider is a comprehensive code editing benchmark based on 133 practice exercises from Exercism's Python repository, designed to evaluate AI models' ability to translate natural language coding requests into executable code that passes unit tests. The benchmark measures end-to-end code editing capabilities, including GPT's ability to edit existing code and format code changes for automated saving to local files. The Aider Polyglot variant extends this evaluation across 225 challenging exercises spanning C++, Go, Java, JavaScript, Python, and Rust, making it a standard benchmark for assessing multilingual code editing performance in AI research.

评测信息与证据

来源
LLM Stats
发布者
未收录
评测发布日期
未收录
采集日期
2026-08-17
模态
text

本站保留来源报告的结果,不代表独立复测。请先核对任务版本、评测协议、分数单位和报告日期;不同运行条件不能直接合并为统一排名。

原始资料

报告成绩 4

按来源中的观察顺序展示,顺序不代表排名。日期保留原始精度。

模型数值单位协议报告日期与口径来源
DeepSeek-V2.50.722未收录未收录2024-05-08 · model_announcementLLM Stats
Qwen3 235B A22B0.618未收录未收录2025-04-29 · model_announcementLLM Stats
Qwen2.5-Coder 7B Instruct0.556未收录未收录2024-09-19 · model_announcementLLM Stats
Qwen3 32B0.502未收录未收录2025-04-29 · model_announcementLLM Stats