Codebase understanding
SWEAtlas CodeBase QnA
Questions about how an unfamiliar codebase actually works — where something is handled, what a change would touch — answered by reading the repository rather than editing it. Tests understanding rather than patch-writing. Higher is better.
Rankings
Higher is betterSWEAtlas CodeBase QnA — frequently asked questions
- What is SWEAtlas CodeBase QnA?
- Questions about how an unfamiliar codebase actually works — where something is handled, what a change would touch — answered by reading the repository rather than editing it. Tests understanding rather than patch-writing. Higher is better.
- Which AI model scores highest on SWEAtlas CodeBase QnA?
- Muse Spark 1.3 by Meta holds the best SWEAtlas CodeBase QnA result among tracked models, at 59.4% (released Sep 2 2026). Higher scores are better on this benchmark.
- What are the top 1 models on SWEAtlas CodeBase QnA?
- 1. Muse Spark 1.3 (Meta) — 59.4%.
- How many models have a published SWEAtlas CodeBase QnA score?
- 1 tracked model has a published SWEAtlas CodeBase QnA score. Scores are the figures reported by each lab at that model's release, so this page is a record of results over time rather than a re-run leaderboard.