reasoning benchmark
AutomationBench Leaderboard
AutomationBench is a tool-use benchmark that evaluates AI agents on automating real-world workflows, testing their ability to orchestrate tools and complete multi-step automation tasks.
Updated Aug 17, 2026
Models12
Model coverage12
MetricScore
EvidenceB
AutomationBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelZA | Score48.2% | Percentile100.0% | Participants12 | EvidenceC | Evaluated |
| Rank02 | ModelDE | Score31.8% | Percentile90.9% | Participants12 | EvidenceC | Evaluated |
| Rank03 | ModelMA | Score30.8% | Percentile81.8% | Participants12 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score30.4% | Percentile72.7% | Participants12 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score27.3% | Percentile63.6% | Participants12 | EvidenceC | Evaluated |
| Rank06 | ModelAN | Score26.0% | Percentile54.5% | Participants12 | EvidenceC | Evaluated |
| Rank07 | ModelDE | Score25.1% | Percentile45.5% | Participants12 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score18.1% | Percentile36.4% | Participants12 | EvidenceC | Evaluated |
| Rank09 | ModelAN | Score17.4% | Percentile27.3% | Participants12 | EvidenceC | Evaluated |
| Rank10 | ModelOP | Score15.2% | Percentile18.2% | Participants12 | EvidenceC | Evaluated |
| Rank11 | ModelOP | Score14.9% | Percentile9.1% | Participants12 | EvidenceC | Evaluated |
| Rank12 | ModelAN | Score13.5% | Percentile0.0% | Participants12 | EvidenceC | Evaluated |
AutomationBench Highlights
The leading models and scores on this benchmark.
AutomationBench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for AutomationBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis automationbench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ZAGLM-5.3Zhipu AI
- Score
- 48.2%
Strengths
- Ranks #1 of 12 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures AutomationBench, not total model capability
- 02DEDeepSeek-V4-Pro-0813DeepSeek
- Score
- 31.8%
- Price
- $0.43 input / $0.87 output per 1M tokens
- Speed
- Up to 33 tok/s via DeepSeek
Strengths
- Ranks #2 of 12 compared models
- 91th percentile on this benchmark
- C evidence result
Considerations
- This result measures AutomationBench, not total model capability
- 03MAKimi K3Moonshot AI
- Score
- 30.8%
- Price
- $3.0 input / $15 output per 1M tokens
- Speed
- Up to 26 tok/s via Fireworks
Strengths
- Ranks #3 of 12 compared models
- 82th percentile on this benchmark
- C evidence result
Considerations
- This result measures AutomationBench, not total model capability
- 04GOGemini 3.7 FlashGoogle
- Score
- 30.4%
- Price
- $0.75 input / $3.8 output per 1M tokens
- Speed
- Up to 13 tok/s via Google
Strengths
- Ranks #4 of 12 compared models
- 73th percentile on this benchmark
- C evidence result
Considerations
- This result measures AutomationBench, not total model capability
- 05ACQwen3.8 MaxAlibaba Cloud / Qwen Team
- Score
- 27.3%
- Price
- $2.0 input / $6.0 output per 1M tokens
Strengths
- Ranks #5 of 12 compared models
- 64th percentile on this benchmark
- C evidence result
Considerations
- This result measures AutomationBench, not total model capability
Selection summary
Best AI Models for AutomationBench
GLM-5.3 currently leads AutomationBench with 48.2%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is AutomationBench?
What AutomationBench measures and how its scores work.
AutomationBench is a tool-use benchmark that evaluates AI agents on automating real-world workflows, testing their ability to orchestrate tools and complete multi-step automation tasks.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AutomationBench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- automationbench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about AutomationBench.
Which model scores highest on AutomationBench?
GLM-5.3 is currently ranked first with 48.2%.
What does AutomationBench measure?
AutomationBench is a tool-use benchmark that evaluates AI agents on automating real-world workflows, testing their ability to orchestrate tools and complete multi-step automation tasks.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
12 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.