EnterpriseOps-Gym

EnterpriseOps-Gym is a benchmark for how well a model acts as a general-purpose agent. The official description says: "EnterpriseOps-Gym - agentic enterprise-operations benchmark, evaluated using its official repository per the card's footnote; models run at highest thinking effort with preserve_thinking=true in the chat template". Below we describe in simple words what benchmarks of this type generally examine.

EnterpriseOps-Gym measures how well a model acts as a general-purpose agent. In detail, it checks:

• solving long, multi-step tasks with many intermediate decisions
• using tools correctly (browsers, terminals, APIs, calendars, other apps)
• adapting when something unexpected happens mid-task
• staying on goal over long task horizons instead of wandering off

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: EnterpriseOps-Gym - agentic enterprise-operations benchmark, evaluated using its official repository per the card's footnote; models run at highest thinking effort with preserve_thinking=true in the chat template. Card reports Nanbeige4.3-33B 41.0 vs Qwen3.8-27B 40.2, Muse-Glimmer-30B 30.5, Gemma4-31B 27.3.

What is the EnterpriseOps-Gym benchmark?

EnterpriseOps-Gym is a benchmark for how well a model acts as a general-purpose agent. The official description says: 'EnterpriseOps-Gym - agentic enterprise-operations benchmark, evaluated using its official repository per the card's footnote; models run at highest thinking effort with preserve_thinking=true in the chat template'. Below we describe in simple words what benchmarks of this type generally examine.

What does EnterpriseOps-Gym test?

EnterpriseOps-Gym mainly measures how well a model acts as a general-purpose agent. Concretely, it checks: solving long, multi-step tasks with many intermediate decisions; using tools correctly (browsers, terminals, APIs, calendars, other apps); adapting when something unexpected happens mid-task.

How is the EnterpriseOps-Gym score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get EnterpriseOps-Gym data and scores?

The official source is https://huggingface.co/Nanbeige/Nanbeige4.3-33B. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/enterpriseops-gym/scores) or pull it directly from the Open LLM Radar API with any HTTP client.