LongRCA-Mini - Responsible-Role Accuracy (All-at-Once): leaderboard

Responsible-role accuracy on LongRCA-Mini (2026), 200 human-annotated failed agent trajectories from five benchmarks: the model reads the whole execution log in one prompt and names the agent role that took the root-cause step. Percentage correct, macro-averaged over sources; higher is better.

Metric: Responsible-role accuracy (%; the role that took the root-cause step; LongRCA-Mini, 200 fixed human-annotated failed agent trajectories, 40 from each of SWE-bench Pro, Terminal-Bench 2, TravelPlanner, VitaBench and WebArena Verified (macro-average of the five sources); All-at-once protocol: the whole execution log in one attribution prompt; invalid outputs count as errors). Source: arxiv.org. Saturation forecast: Around August 2028. 5 models tracked.

Top models

#ModelScoreOverall rank
1Kimi K354.5#54
2GPT-5.6 Sol53#30
3Qwen 3.5 35B A3B51#482
4DeepSeek V4 Pro50#188
5DeepSeek V4 Flash42.5#258

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=longrca-mini-responsible-role-accuracy-all-at-once · How It Works · Data refreshed daily, snapshot 2026-11-13.