RepoQA
RepoQA is a benchmark for evaluating long-context code understanding capabilities of Large Language Models through the Searching Needle Function (SNF) task, where LLMs must locate specific functions in code repositories using natural language descriptions. The benchmark contains 500 code search tasks spanning 50 repositories across 5 modern programming languages (Python, Java, TypeScript, C++, and Rust), tested on 26 general and code-specific LLMs to assess their ability to comprehend and navigate code repositories.
Phi-3.5-MoE-instruct from Microsoft currently leads the RepoQA leaderboard with a score of 0.850 across 2 evaluated AI models.
Phi-3.5-MoE-instruct leads with 85.0%, followed by Phi-3.5-mini-instruct at 77.0%.
Progress Over Time
Interactive timeline showing model performance evolution on RepoQA
RepoQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Microsoft | 60B | — | — | ||
| 2 | Microsoft | 4B | 128K | $0.10 / $0.10 |
FAQ
Common questions about RepoQA.
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