Benchmark Almanac

Gorilla APIBench

Llama 3.1-405B 35.3% leads since July 2024
Only in system cards

Models write calls to machine learning APIs from Hugging Face, TorchHub and TensorHub. Scored by AST match.

The same Gorilla team later built BFCL.

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
3
Models scored in lab cards
6
System cards report it, from 1 lab

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:

  1. 1 Llama 3.1-405B 35.3%
  2. 2 Llama 3.1-70B 29.7%
  3. 3 Llama 3.1-8B 8.20%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Llama 3.1-405B 35.3% Jul 2024 Lab model card
2 Llama 3.1-70B 29.7% Jul 2024 Lab model card
3 Llama 3.1-8B 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.

Meta
Lab claims Not tested since Nov 2024

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.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Llama 3.1-405B 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Llama 3.1-405B

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.

DateDocumentScoreAs the document writes itSection
Nov 23, 2024 Llama 3.1-8B technical report 8.2 API-Bench (Gorilla), zero-shot function calling accuracy, post-trained (Table 22) Capabilities
Nov 23, 2024 Llama 3.1-70B technical report 29.7 API-Bench (Gorilla), zero-shot function calling accuracy, post-trained (Table 22) Capabilities
Nov 23, 2024 Llama 3.1-405B technical report 35.3 API-Bench (Gorilla), zero-shot function calling accuracy, post-trained (Table 22) Capabilities
Jul 23, 2024 Llama 3.1-8B model card 8.2 Gorilla Benchmark API Bench, 0-shot, acc, instruction tuned (Instruction tuned models table) Capabilities
Jul 23, 2024 Llama 3.1-70B model card 29.7 Gorilla Benchmark API Bench, 0-shot, acc, instruction tuned (Instruction tuned models table) Capabilities
Jul 23, 2024 Llama 3.1-405B model card 35.3 Gorilla Benchmark API Bench, 0-shot, acc, instruction tuned (Instruction tuned models table) Capabilities

More in Tool use

All 144 in Tool use
  • AutomationBench In use Agent completes end-to-end business workflows inside a simulated company exposing dozens of REST APIs. Graded on resulting state. Gemini 4 Carbon 53.9%
  • MCP Atlas In use Multi-step workflows over real MCP servers. Scores tool-use competency on realistic tasks. Gemini 4 Argon 90.7%
  • BFCL V4 In use Models call functions and tools, including multi-turn agentic tasks with web search and memory. Checked against expected calls and outcomes. Qwen3.7-Max 75%
  • τ³-bench Banking In use Agents act as banking customer-service reps over many turns with a simulated user, following policy. Pass^1 on the final database state. Qwen 3.8 Max 55.1%
  • Toolathlon-Verified In use 108 long-horizon tasks across 32 apps through about 600 MCP tools. Execution-based checkers inspect final environment state. GLM-5.3-Flash 78.4%
  • DeepSearchQA In use Questions that need multi-step search and synthesis. Final answers graded against references. Kimi K3 95%