NL2Repo B
AI benchmark · Coding
What is NL2Repo?
A repository-understanding benchmark that measures whether models can map natural-language requests onto the right code locations and system changes.
Tier B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 41 models scored
- in curated RL directories (2 pts)
On X · well regarded, low buzz, from 3 posts about NL2Repo in the last month
NL2Repo shows up in model release score lists and is named alongside Terminal-Bench and SWE-Bench Pro as a coding benchmark that labs track, but discussion is thin.
How we got to tier B
- Adoption: 41 models scored. Tier B.
- On X: well regarded, low buzz. “NL2Repo shows up in model release score lists and is named alongside Terminal-Bench and SWE-Bench Pro as a coding benchmark that labs track, but discussion is thin.” No move.
- In curated RL directories: 2 points, a floor of C.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.