Agentic Benchmark

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.

Model scores 3 models tested

Reset
# 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

What now?

You've seen how models score on Automation Bench-AA — here's what to do next.