HINTBench - Coarse Risk-Step Localization: leaderboard

Metric: Localization F1 (%) for coarse risk-step localization (five constraint categories; a predicted risky step matches a gold step within plus or minus 3 steps; type ignored) over the 536 synthetic HINTBench agent trajectories (400 risky, 136 safe, 24 steps on average, unanimously accepted by three human verifiers) audited zero-shot by a general LLM for intrinsic, non-attack risk under a five-constraint taxonomy (goal, capability, factual, procedural, state constraints), each model at its stated reasoning setting; higher is better. Source: arxiv.org. Saturation forecast: Around August 2027. 21 models tracked.

Top models

#ModelScore
1Claude Sonnet 4.6 (Non-reasoning)59.9
2GPT-5.5 (High)58.36
3GPT-5.5 (Low)56.51
4Claude Opus 4.6 (Non-reasoning)56.36
5DeepSeek R156.26
6GPT-5.5 (Medium)56.24
7ERNIE 5.056
8Kimi K2.555.94
9GLM-555.01
10MiniMax-M2.554.14
11DeepSeek V3.253.06
12Qwen 3 235B A22B51.59
13Qwen 3 32B36.97
14Qwen 3 14B32.64
15Qwen 3 8B28.68

Interactive version: theaggregate.ai/benchmark?slug=hintbench-coarse-risk-step-localization · How It Works · Data refreshed daily, snapshot 2026-10-07.