reasoning benchmark
Toolathlon
Tool Decathlon is a comprehensive benchmark for evaluating AI agents' ability to use multiple tools across diverse task categories. It measures proficiency in tool selection, sequencing, and execution across ten different tool-use scenarios.
Updated Aug 11, 2026
Models31
Model coverage31
MetricScore
EvidenceB
Toolathlon Ranking
Higher score ranks better on this benchmark.
Toolathlon Score Distribution
A closer view of the leading scores on this benchmark.
Toolathlon Highlights
The leading models and scores on this benchmark.
What is Toolathlon?
What Toolathlon measures and how its scores work.
Tool Decathlon is a comprehensive benchmark for evaluating AI agents' ability to use multiple tools across diverse task categories. It measures proficiency in tool selection, sequencing, and execution across ten different tool-use scenarios.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Toolathlon
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- toolathlon|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Toolathlon.
Which model scores highest on Toolathlon?
Muse Spark 1.1 is currently ranked first with 75.6%.
What does Toolathlon measure?
Tool Decathlon is a comprehensive benchmark for evaluating AI agents' ability to use multiple tools across diverse task categories. It measures proficiency in tool selection, sequencing, and execution across ten different tool-use scenarios.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
31 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.