DistDebug-Bench - Function: 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 2031. 17 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.5 (Medium)60.4#3 (Claude Opus 5.5)
2MiMo-V2.5-Pro60.1#167
3GPT-6 Astra (Medium)58.4#6 (GPT-6 Astra)
4GPT-5.5 (Medium)55.5#33 (GPT-5.5)
5MiMo-V2.554.2#196
6GPT-5.4 (Medium)53.1#83 (GPT-5.4)
7GPT-5.3 Codex (Medium)53#72 (GPT-5.3 Codex)
8Kimi K2.651.2#113
9DeepSeek V4 Flash49.4#155
10Hy349.1#100
11Gemini 3.5 Flash43.5#66
12O4 Mini (Medium)35.4#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-function · How It Works · Data refreshed daily, snapshot 2026-11-05.