Multi-SWE-Bench C
AI benchmark · Coding
What is Multi-SWE-Bench?
Multi-SWE-bench measures how well LLMs resolve real software issues by generating patches to codebases across seven programming languages (Java, TypeScript, JavaScript, Go, Rust, C, C++).
Coding mostly
“The task of issue resolving is to modify a codebase to generate a patch that addresses a given issue.”
arxiv.org/abs/2504.02605 ↗
Paper: arxiv.org/abs/2504.02605 ↗
Tier C
Niche: a handful of models scored, or built by an RL vendor.
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.
- 11 models scored
- in curated RL directories (2 pts)
On X · unclear, low buzz, from 1 post about Multi-SWE-Bench in the last month
Mentioned once, as an adapted eval (Multi-SWE-bench Flash) for a small 2B search agent; there is little discussion of the benchmark itself.
How we got to tier C
- Adoption: 11 models scored. Tier C.
- On X: unclear, low buzz. “Mentioned once, as an adapted eval (Multi-SWE-bench Flash) for a small 2B search agent; there is little discussion of the benchmark itself.” No move.
- In curated RL directories: 2 points, a floor of C.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where Multi-SWE-Bench sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-11-05 snapshot.