DistDebug-Bench - File: 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 February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.5 (Medium)84#33 (GPT-5.5)
2GPT-6 Astra (Medium)83.9#6 (GPT-6 Astra)
3Claude Opus 5.5 (Medium)82#3 (Claude Opus 5.5)
4GPT-5.4 (Medium)79.8#83 (GPT-5.4)
5GPT-5.3 Codex (Medium)79.1#72 (GPT-5.3 Codex)
6MiMo-V2.5-Pro78.9#167
7MiMo-V2.577.8#196
8Kimi K2.677.5#113
9DeepSeek V4 Flash76#155
10Hy372.5#100
11Gemini 3.5 Flash65.9#66
12O4 Mini (Medium)63.1#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-file · How It Works · Data refreshed daily, snapshot 2026-11-05.