reasoning benchmark
API-Bank
A comprehensive benchmark for tool-augmented LLMs that evaluates API planning, retrieval, and calling capabilities. Contains 314 tool-use dialogues with 753 API calls across 73 API tools, designed to assess how effectively LLMs can utilize external tools and overcome obstacles in tool leveraging.
Updated Aug 11, 2026
Models3
Model coverage3
MetricScore
EvidenceB
API-Bank Ranking
Higher score ranks better on this benchmark.
| 01 | ME | 92.0% | 100.0% | 3 | C | |
| 02 | ME | 90.0% | 50.0% | 3 | C | |
| 03 | ME | 82.6% | 0.0% | 3 | C |
API-Bank Score Distribution
A closer view of the leading scores on this benchmark.
API-Bank Highlights
The leading models and scores on this benchmark.
What is API-Bank?
What API-Bank measures and how its scores work.
A comprehensive benchmark for tool-augmented LLMs that evaluates API planning, retrieval, and calling capabilities. Contains 314 tool-use dialogues with 753 API calls across 73 API tools, designed to assess how effectively LLMs can utilize external tools and overcome obstacles in tool leveraging.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- API-Bank
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- api-bank|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about API-Bank.
Which model scores highest on API-Bank?
Llama 3.1 405B Instruct is currently ranked first with 92.0%.
What does API-Bank measure?
A comprehensive benchmark for tool-augmented LLMs that evaluates API planning, retrieval, and calling capabilities. Contains 314 tool-use dialogues with 753 API calls across 73 API tools, designed to assess how effectively LLMs can utilize external tools and overcome obstacles in tool leveraging.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.