EnterpriseOps-Gym (provider runs) (EnterpriseOps-Gym)
We show this table for reference; we do not rank on it.
ServiceNow benchmark of stateful planning and tool use across simulated enterprise systems, as run by model providers.
Benchmark score on EnterpriseOps-Gym — October 29, 2026
We compile the EnterpriseOps-Gym rows from provider self-reports. LFM3-1.7B is the only currently displayable sourced row, at 28.20%. We do not use these results to rank models overall.
1 modelAgenticCurrentDisplay onlyUpdated October 29, 2026
Benchmark score table (1 model)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | LFM3-1.7BLiquidAI | 28.20% | Not reported | Open |
How to read this leaderboard
Operator receipt: 1 sourced row is currently displayable on this page; the only currently displayable sourced row is LFM3-1.7B at 28.20%.
Honest limit: Only Liquid AI-run results are stored so far, from one launch table. Display-only and excluded from weighted ranking.
About EnterpriseOps-Gym
Year
2026
Tasks
Enterprise workflow tasks
Format
Task success rate
Difficulty
Stateful enterprise tool use
Liquid AI reports it for LFM3-1.7B (October 27, 2026) with up to 50 turns per task. Provider runs stay apart from Artificial Analysis's independent AA EnterpriseOps-Gym row.
Freshness and provenance
Version
EnterpriseOps-Gym 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does EnterpriseOps-Gym measure?
ServiceNow benchmark of stateful planning and tool use across simulated enterprise systems, as run by model providers.
Which model scores highest on EnterpriseOps-Gym?
LFM3-1.7B by LiquidAI currently leads with a score of 28.20% on EnterpriseOps-Gym.
How many models are evaluated on EnterpriseOps-Gym?
1 AI models have published results on EnterpriseOps-Gym in the BenchLM catalog.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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