LLM Stats (AutomationBench-AA): leaderboard
LLM Stats mirror: AutomationBench-AA is Artificial Analysis's independently run version of AutomationBench, covering 657 real-world SaaS workflow tasks across 40 simulated applications (e.g. Gmail, Slack, Salesforce, HubSpot). It scores the share of objectives an agent completes without violating business guardrails, using a private held-out task set. Results combine the explicitly named vendor or evaluator reports linked by the source; the mirror does not independently verify them. Published score percentage; higher is better. Protocol/version qualifiers in the board title are retained.
Metric: Score (%). Source: llm-stats.com. Saturation forecast: Around 2030. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Grok 4.5 | 51.4 | #48 |
| 2 | Muse Wonder Full | 45.4 | #10 |
| 3 | Muse Wonder | 39.1 | #15 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=llm-stats-automationbench-aa · How It Works · Data refreshed daily, snapshot 2026-10-20.