reasoning benchmark
Gorilla Benchmark API Bench Leaderboard
APIBench, a comprehensive dataset of over 11,000 instruction-API pairs from HuggingFace, TorchHub, and TensorHub APIs for evaluating language models' ability to generate accurate API calls.
Updated Aug 17, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Gorilla Benchmark API Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score35.3% | Percentile100.0% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score29.7% | Percentile50.0% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelME | Score8.2% | Percentile0.0% | Participants3 | EvidenceC | Evaluated |
Gorilla Benchmark API Bench Highlights
The leading models and scores on this benchmark.
Gorilla Benchmark API Bench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Gorilla Benchmark API Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis gorilla benchmark api bench 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
- 35.3%
- 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 Gorilla Benchmark API Bench, not total model capability
- 02ME
- Score
- 29.7%
- 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 Gorilla Benchmark API Bench, not total model capability
- 03ME
- Score
- 8.2%
- 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 Gorilla Benchmark API Bench, not total model capability
Selection summary
Best AI Models for Gorilla Benchmark API Bench
Llama 3.1 405B Instruct currently leads Gorilla Benchmark API Bench with 35.3%. 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 Gorilla Benchmark API Bench?
What Gorilla Benchmark API Bench measures and how its scores work.
APIBench, a comprehensive dataset of over 11,000 instruction-API pairs from HuggingFace, TorchHub, and TensorHub APIs for evaluating language models' ability to generate accurate API calls.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Gorilla Benchmark API Bench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- gorilla-benchmark-api-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Gorilla Benchmark API Bench.
Which model scores highest on Gorilla Benchmark API Bench?
Llama 3.1 405B Instruct is currently ranked first with 35.3%.
What does Gorilla Benchmark API Bench measure?
APIBench, a comprehensive dataset of over 11,000 instruction-API pairs from HuggingFace, TorchHub, and TensorHub APIs for evaluating language models' ability to generate accurate API calls.
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.