reasoning benchmark
API-Bank Leaderboard
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 17, 2026
Models3
Model coverage3
MetricScore
EvidenceB
API-Bank Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score92.0% | Percentile100.0% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score90.0% | Percentile50.0% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelME | Score82.6% | Percentile0.0% | Participants3 | EvidenceC | Evaluated |
API-Bank Highlights
The leading models and scores on this benchmark.
API-Bank Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for API-Bank
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis api-bank 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.
- 01ME
- Score
- 92.0%
- Speed
- Up to 100 tok/s via Bedrock
Strengths
- Ranks #1 of 3 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures API-Bank, not total model capability
- 02ME
- Score
- 90.0%
- Speed
- Up to 1,204 tok/s via Cerebras
Strengths
- Ranks #2 of 3 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures API-Bank, not total model capability
- 03ME
- Score
- 82.6%
- Speed
- Up to 2,047 tok/s via Cerebras
Strengths
- Ranks #3 of 3 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures API-Bank, not total model capability
Selection summary
Best AI Models for API-Bank
Llama 3.1 405B Instruct currently leads API-Bank with 92.0%. 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 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.