Tau-Bench Airline
τ-Bench Airline - function calling ability benchmark in an airline domain. Measures tool use with developer-defined function schemas.
Category
General Agents
Score type
percent
Scale
100%
higher is better
Models tested
3
What is Tau-Bench Airline?
τ-bench Airline is the airline variant of the τ-family: the model works as an assistant for an airline support team, booking flights and applying policies with the provided API tools while a simulated customer pushes the conversation around. Correct tool calls and respecting policy are what is graded.
What does it test?
Tau-Bench Airline measures how well a model acts as a general-purpose agent. In detail, it checks:
- complex booking calculations and rules
- strict adherence to airline policies
- safe tool use in a customer-facing dialogue
- multi-turn consistency across a long conversation
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Frequently asked questions
What is the Tau-Bench Airline benchmark?
τ-bench Airline is the airline variant of the τ-family: the model works as an assistant for an airline support team, booking flights and applying policies with the provided API tools while a simulated customer pushes the conversation around. Correct tool calls and respecting policy are what is graded.
What does Tau-Bench Airline test?
Tau-Bench Airline mainly measures how well a model acts as a general-purpose agent. Concretely, it checks: complex booking calculations and rules; strict adherence to airline policies; safe tool use in a customer-facing dialogue.
How is the Tau-Bench Airline score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get Tau-Bench Airline data and scores?
The official source is https://github.com/sierra-research/tau-bench. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/tau-bench-airline/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark dataset
The question/task data itself — download and evaluate locally
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 3 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
GPT-OSS-120B
OpenAI
|
49.2%
|
08.08.2025 | Report | Verified |
| 2 |
Qwen3-Next-80B-A3B-Thinking
Qwen
|
49%
|
10.09.2025 | Report | Verified |
| 3 |
GPT-OSS-20B
OpenAI
|
38%
|
05.08.2025 | Report | Verified |