Long-Horizon Terminal Agent Benchmark
_akhaliq · x · 2026-07-14
Long-Horizon-Terminal-Bench is a benchmark designed to test the limits of agents in long-horizon terminal tasks. Its core feature is the use of dense reward-based scoring, providing a more granular way to evaluate how well an agent completes complex, continuous, and multi-step tasks.
Essentially, this highlights that current agent evaluations shouldn't just look at short tasks or one-off success rates. Instead, they must assess stability, sustained execution capabilities, and mid-task error correction in long-chain terminal operations.
Related event: Tencent Hunyuan Releases Long-Horizon Terminal Bench Exposing Model Limits(6 posts)→
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