Gorilla APIBench
Models write calls to machine learning APIs from Hugging Face, TorchHub and TensorHub. Scored by AST match.
The same Gorilla team later built BFCL.
- Made by
- UC Berkeley (Gorilla)
- Released
- May 2023
- Kind
- Function calling
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- All public
- Strongest model tested
-
Llama 3.1-405B #162 on the capability index
- Last in a system card
- November 2024
- Last model added
- November 2024
Llama 3.1-405B leads with 35.3% among models released by July 2024
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in July 2024, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1
Llama 3.1-405B 35.3%
- 2
Llama 3.1-70B 29.7%
- 3
Llama 3.1-8B 8.20%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 35.3% | Jul 2024 | Lab model card | |
| 2 | | 29.7% | Jul 2024 | Lab model card | |
| 3 | | 8.20% | Jul 2024 | Lab model card |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
6 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Nov 23, 2024 | | 8.2 | API-Bench (Gorilla), zero-shot function calling accuracy, post-trained (Table 22) | Capabilities |
| Nov 23, 2024 | | 29.7 | API-Bench (Gorilla), zero-shot function calling accuracy, post-trained (Table 22) | Capabilities |
| Nov 23, 2024 | | 35.3 | API-Bench (Gorilla), zero-shot function calling accuracy, post-trained (Table 22) | Capabilities |
| Jul 23, 2024 | | 8.2 | Gorilla Benchmark API Bench, 0-shot, acc, instruction tuned (Instruction tuned models table) | Capabilities |
| Jul 23, 2024 | | 29.7 | Gorilla Benchmark API Bench, 0-shot, acc, instruction tuned (Instruction tuned models table) | Capabilities |
| Jul 23, 2024 | | 35.3 | Gorilla Benchmark API Bench, 0-shot, acc, instruction tuned (Instruction tuned models table) | Capabilities |
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- DeepSearchQA In use Questions that need multi-step search and synthesis. Final answers graded against references. Kimi K3 95%