reasoning benchmark
Tau2 Retail
τ²-bench retail domain evaluates conversational AI agents in customer service scenarios within a dual-control environment where both agent and user can interact with tools. Tests tool-agent-user interaction, rule adherence, and task consistency in retail customer support contexts.
Updated Aug 11, 2026
Models26
Model coverage26
MetricScore
EvidenceB
Tau2 Retail Ranking
Higher score ranks better on this benchmark.
Tau2 Retail Score Distribution
A closer view of the leading scores on this benchmark.
Tau2 Retail Highlights
The leading models and scores on this benchmark.
What is Tau2 Retail?
What Tau2 Retail measures and how its scores work.
τ²-bench retail domain evaluates conversational AI agents in customer service scenarios within a dual-control environment where both agent and user can interact with tools. Tests tool-agent-user interaction, rule adherence, and task consistency in retail customer support contexts.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Tau2 Retail
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- tau2-retail|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Tau2 Retail.
Which model scores highest on Tau2 Retail?
Claude Opus 4.6 is currently ranked first with 91.9%.
What does Tau2 Retail measure?
τ²-bench retail domain evaluates conversational AI agents in customer service scenarios within a dual-control environment where both agent and user can interact with tools. Tests tool-agent-user interaction, rule adherence, and task consistency in retail customer support contexts.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
26 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.