Automation Bench-AA
Artificial Analysis-branded AutomationBench-AA eval; scores cited from artificialanalysis.ai in the Kimi K3.1 Pro card. Distinct from Automation-Bench and AutomationBench (Public).
Category
Agentic
Score type
percent
Scale
100%
higher is better
Models tested
3
What is Automation Bench-AA?
Automation Bench-AA is a benchmark for agentic abilities such as tool use, retrieval and autonomous workflows. The official description says: "Artificial Analysis-branded AutomationBench-AA eval; scores cited from artificialanalysis.ai in the Kimi K3.1 Pro card". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
Automation Bench-AA measures agentic abilities such as tool use, retrieval and autonomous workflows. In detail, it checks:
- choosing and calling the right tools for a task
- keeping track of what it has already done and what is left
- recovering from failed or contradicting tool results
- completing a defined workflow end-to-end
How to read the score
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: Artificial Analysis-branded AutomationBench-AA eval; scores cited from artificialanalysis.ai in the Kimi K3.1 Pro card. Distinct from Automation-Bench and AutomationBench (Public).
Frequently asked questions
What is the Automation Bench-AA benchmark?
Automation Bench-AA is a benchmark for agentic abilities such as tool use, retrieval and autonomous workflows. The official description says: 'Artificial Analysis-branded AutomationBench-AA eval; scores cited from artificialanalysis.ai in the Kimi K3.1 Pro card'. Below we describe in simple words what benchmarks of this type generally examine.
What does Automation Bench-AA test?
Automation Bench-AA mainly measures agentic abilities such as tool use, retrieval and autonomous workflows. Concretely, it checks: choosing and calling the right tools for a task; keeping track of what it has already done and what is left; recovering from failed or contradicting tool results.
How is the Automation Bench-AA 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 Automation Bench-AA data and scores?
The official source is https://huggingface.co/moonshotai/Kimi-K3.1-Pro. 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/automation-bench-aa/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 3 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Kimi K3.1 Pro
Moonshot AI
|
73.3%
|
07.11.2026 | Report | Verified |
| 2 |
DeepSeek-V4.1-Flash-1017
DeepSeek
|
66.6%
|
07.11.2026 | Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro | Unverified |
| 3 |
GLM-5.3
Zhipu AI
|
62.2%
|
07.11.2026 | Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro | Unverified |