chat benchmark
Tau2 Airline is a conversational-agent benchmark for airline customer service scenarios in dual-control environments.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score76.50% | Percentile100.00% | Participants24 | EvidenceC | Evaluated |
| Rank02 | ModelAM | Score68.80% | Percentile95.65% | Participants24 | EvidenceC | Evaluated |
| Rank03 | ModelME | Score67.50% | Percentile91.30% | Participants24 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score67.00% | Percentile86.96% | Participants24 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score67.00% | Percentile82.61% | Participants24 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score67.00% | Percentile78.26% | Participants24 | EvidenceC | Evaluated |
| Rank07 | ModelAM | Score65.20% | Percentile73.91% | Participants24 | EvidenceC | Evaluated |
| Rank08 | ModelAM | Score64.80% | Percentile69.57% | Participants24 | EvidenceC | Evaluated |
| Rank09 | ModelOP | Score64.80% | Percentile65.22% | Participants24 | EvidenceC | Evaluated |
| Rank10 | ModelAN | Score63.60% | Percentile60.87% | Participants24 | EvidenceC | Evaluated |
| Rank11 | ModelOP | Score62.60% | Percentile56.52% | Participants24 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score60.50% | Percentile52.17% | Participants24 | EvidenceC | Evaluated |
| Rank13 | ModelME | Score58.00% | Percentile47.83% | Participants24 | EvidenceC | Evaluated |
| Rank14 | ModelME | Score58.00% | Percentile43.48% | Participants24 | EvidenceC | Evaluated |
| Rank15 | ModelAC | Score58.00% | Percentile39.13% | Participants24 | EvidenceC | Evaluated |
| Rank16 | ModelLA | Score56.50% | Percentile34.78% | Participants24 | EvidenceC | Evaluated |
| Rank17 | ModelMA | Score56.50% | Percentile30.43% | Participants24 | EvidenceC | Evaluated |
| Rank18 | ModelMA | Score56.50% | Percentile26.09% | Participants24 | EvidenceC | Evaluated |
| Rank19 | ModelNV | Score56.25% | Percentile21.74% | Participants24 | EvidenceC | Evaluated |
| Rank20 | ModelIN | Score53.00% | Percentile17.39% | Participants24 | EvidenceC | Evaluated |
| Rank21 | ModelNV | Score48.00% | Percentile13.04% | Participants24 | EvidenceC | Evaluated |
| Rank22 | ModelOP | Score45.50% | Percentile8.70% | Participants24 | EvidenceC | Evaluated |
| Rank23 | ModelAC | Score45.50% | Percentile4.35% | Participants24 | EvidenceC | Evaluated |
| Rank24 | ModelAC | Score44.00% | Percentile0.00% | Participants24 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What Tau2 Airline measures and how its scores work.
A TAU2 airline domain benchmark in which AI agents and users interact with tools for tasks such as flight booking, modifications, cancellations, and refunds.
It measures agent coordination, communication, and ability to guide user actions, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Tau2 Airline.
LongCat-Flash-Thinking-2601 is currently ranked first with 76.50%.
The current leaders are LongCat-Flash-Thinking-2601 (76.50%), Nova 2 Omni (68.80%), and LongCat-Flash-Thinking (67.50%).
Nemotron 3 Super (120B A12B) has the lowest matched official input price at $0.20 input / $0.80 output per 1M tokens.
The fastest matched records are Mercury 2 (346.33 tok/s via Inception), GPT-4o (132.00 tok/s via OpenAI), and GPT-5.1 (100.00 tok/s via OpenAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures agent coordination, communication, and ability to guide user actions, reported as a Score ratio.
Yes. Higher values rank better for this benchmark.
24 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis tau2 airline AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
LongCat-Flash-Thinking-2601 currently leads Tau2 Airline with 76.50%. 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.