RepoMod-Bench: leaderboard

Metric: Pass rate (%): share of the hidden tests passed by the translated repository (0 when it does not build), averaged over the 21 RepoMod-Bench source-to-target translation tasks (11,616 tests; prompts forbid subprocess wrappers, FFI calls to the original binary and vendoring); one autonomous agent run per task with a 4-hour limit; higher is better. Source: arxiv.org. Saturation forecast: Around July 2027. 4 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.243#105
2Claude Opus 4.542#79

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=repomod-bench · How It Works · Data refreshed daily, snapshot 2026-10-11.