DistDebug-Bench - Line: leaderboard

DistDebug Table 9:120 common incidents,three selected clean attempts per bug,mean within bug then equal across bugs; native file/function/line/causal-block/mention localization and block precision. Flagged answer-leaking attempts discarded and rerun; no best-attempt selection. Explicit medium effort for GPT and Claude; source says medium where controls exist and provider defaults otherwise. Model/harness configurations stay separate. These are root-cause localization metrics, not patch success. Metric: Coverage (%).

Metric: Coverage (%). Source: arxiv.org. Saturation forecast: Around 2030. 17 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (Medium)53.9#6 (GPT-6 Astra)
2Claude Opus 5.5 (Medium)53.5#3 (Claude Opus 5.5)
3GPT-5.5 (Medium)52.7#33 (GPT-5.5)
4GPT-5.4 (Medium)50.4#83 (GPT-5.4)
5DeepSeek V4 Flash45.9#155
6Kimi K2.644.8#113
7GPT-5.3 Codex (Medium)44.5#72 (GPT-5.3 Codex)
8MiMo-V2.543.9#196
9MiMo-V2.5-Pro43.4#167
10Hy339.7#100
11Gemini 3.5 Flash37.3#66
12O4 Mini (Medium)28.2#185 (O4 Mini)

No result here: #7 GPT-6.1 Sol, #9 Gemini 4 Argon, #10 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=distdebug-bench-line · How It Works · Data refreshed daily, snapshot 2026-11-05.