Execution-based benchmark for long-horizon tool use (ICLR 2026): language agents operate 32 real software applications and 604 tools — from Google Calendar and Notion to WooCommerce, Kubernetes, and BigQuery — mostly via curated Model Context Protocol servers, with realistic environment state and reliable execution-based checking over 108 tasks averaging ~20 turns. At release the best model (Claude-4.5-Sonnet) reached only 38.6%, the top open-weights model (DeepSeek-V3.2-Exp) 20.1% — and it saw fast adoption as the long-horizon tool-use eval.

HKUST-led (Junxian He's hkust-nlp) with All Hands AI, CMU, and Duke collaborators.

Paper

Venue ICLR 2026

Evaluation Details

Tasks 108
Scoring execution-based

Top Scores

Model Score Date
Claude-4.5-Sonnet 38.6% 2025-10-29
DeepSeek-V3.2-Exp 20.1% 2025-10-29
benchmarkevaluationagentic

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