reasoning benchmark
TAU-bench Airline
Part of τ-bench (TAU-bench), a benchmark for Tool-Agent-User interaction in real-world domains. The airline domain evaluates language agents' ability to interact with users through dynamic conversations while following domain-specific rules and using API tools. Agents must handle airline-related tasks and policies reliably.
Updated Aug 11, 2026
Models23
Model coverage23
MetricScore
EvidenceB
TAU-bench Airline Ranking
Higher score ranks better on this benchmark.
| 01 | AN | 70.0% | 100.0% | 23 | C | |
| 02 | MI | 62.0% | 95.5% | 23 | C | |
| 03 | ZA | 60.8% | 90.9% | 23 | C | |
| 04 | ZA | 60.4% | 86.4% | 23 | C | |
| 05 | AN | 60.0% | 81.8% | 23 | C | |
| 06 | MI | 60.0% | 77.3% | 23 | C | |
| 07 | AC | 60.0% | 72.7% | 23 | C | |
| 08 | AN | 59.6% | 68.2% | 23 | C | |
| 09 | AN | 58.4% | 63.6% | 23 | C | |
| 10 | AN | 56.0% | 59.1% | 23 | C | |
| 11 | OP | 50.0% | 54.5% | 23 | C | |
| 12 | OP | 50.0% | 50.0% | 23 | C | |
| 13 | OP | 49.4% | 45.5% | 23 | C | |
| 14 | OP | 49.2% | 40.9% | 23 | C | |
| 15 | AC | 49.0% | 36.4% | 23 | C | |
| 16 | AN | 46.0% | 31.8% | 23 | C | |
| 17 | AC | 46.0% | 27.3% | 23 | C | |
| 18 | AC | 44.0% | 22.7% | 23 | C | |
| 19 | OP | 42.8% | 18.2% | 23 | C | |
| 20 | OP | 36.0% | 13.6% | 23 | C | |
| 21 | OP | 32.4% | 9.1% | 23 | C | |
| 22 | AN | 22.8% | 4.5% | 23 | C | |
| 23 | OP | 14.0% | 0.0% | 23 | C |
TAU-bench Airline Score Distribution
A closer view of the leading scores on this benchmark.
TAU-bench Airline Highlights
The leading models and scores on this benchmark.
What is TAU-bench Airline?
What TAU-bench Airline measures and how its scores work.
Part of τ-bench (TAU-bench), a benchmark for Tool-Agent-User interaction in real-world domains. The airline domain evaluates language agents' ability to interact with users through dynamic conversations while following domain-specific rules and using API tools. Agents must handle airline-related tasks and policies reliably.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- TAU-bench Airline
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- tau-bench-airline|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about TAU-bench Airline.
Which model scores highest on TAU-bench Airline?
Claude Sonnet 4.5 is currently ranked first with 70.0%.
What does TAU-bench Airline measure?
Part of τ-bench (TAU-bench), a benchmark for Tool-Agent-User interaction in real-world domains. The airline domain evaluates language agents' ability to interact with users through dynamic conversations while following domain-specific rules and using API tools. Agents must handle airline-related tasks and policies reliably.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
23 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.