KC-Bench - Region: leaderboard

The world-knowledge-conflict domain of KC-Bench (Lyu et al., 2026): 71 tasks in which the user states a false fact, such as the wrong country of origin of a dish, and the agent must reject the premise before calling factual tools. One trial per task under a user simulator and stateful tools; a task succeeds only if the agent detects the conflict without exposing or changing protected state, as verified by human annotators; percent, higher is better.

Metric: Success rate (%; world-knowledge conflict: 71 region tasks in which the user asserts a false fact and the agent must reject the premise before using read-only factual tools; one trial per task, greedy decoding, at most 30 interaction steps, LLM user simulator, stateful tools, success only if the conflict is detected and no protected state is exposed or modified; human-verified label (automatic assertion verdicts adjudicated by annotators)). Source: arxiv.org. Saturation forecast: Around January 2028. 9 models tracked.

Top models

#ModelScoreOverall rank
1MiniMax-M367.61#265
2GLM-5.253.52#137
3Qwen 3.5 35B A3B50.7#480
4Claude Haiku 4.5 (20251001)45.07#529
5GPT-5.140.85#225
6GLM 4.5 Air38.04#863
7DeepSeek V4 Flash18.31#254
8GPT-OSS-120B8.45#699
9Gemini 3 Flash (Preview)7.04#141

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

Interactive version: theaggregate.ai/benchmark?slug=kc-bench-region · How It Works · Data refreshed daily, snapshot 2026-11-12.