Atlas

Benchmarks

← All benchmarks

DecepEval Long-horizon (Induced)

Safety · 2026-10-06

Deception rate of LLM agents on the induced versions of DecepEval's 550 Long-horizon tasks (multi-stage decision-making and multi-turn record maintenance with scheduled factual updates). Each induced version adds pressure, an incentive, an opportunity or a conflicting goal to an otherwise identical neutral task, and a Claude Fable 5 judge labels a trajectory deceptive when its decisions or records conceal or misrepresent the updated execution state. The score is the percentage of tasks judged deceptive; lower is better.

Top models (lower is better)

ModelScore
GPT-5.6 Sol47.8
Sonnet 578.6
Claude Opus 583.3
GPT-5.6 Terra84.7
GLM-5.3 Flash94.0
Haiku 4.597.1
DeepSeek V4 Pro 081399.5
Grok 4.599.6
Loading Atlas data…