LLM Reference
tau-benchactiveAgentsTool use

tau-bench: τ-bench

Metric: % Task Success (higher is better)Introduced: 2024

Multi-turn tool-use benchmark for agent behavior in realistic retail and airline customer-service tasks, measuring whether models complete tasks through APIs while following policy constraints.High benchmark score alone doesn't make a model the right pick — weigh it against pricing, API availability, and release date.

Models ranked

29

tracked on this benchmark

Score band

95.3 – 61.1

best → lowest tracked

Snapshot trend

-7.71

May 5 → Jun 7 · 13 models

Leaderboard

Tracked models ranked by % Task Success (higher is better).

Compare candidates

How to read this benchmark

This benchmark scores models where higher is better. Scores are useful for directional filtering and shortlisting — not for universal quality ranking. Prefer benchmarks closest to your workload, then validate the linked model pages for pricing, context window, and provider availability.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

FAQ

What does the tau-bench benchmark measure?

Multi-turn tool-use benchmark for agent behavior in realistic retail and airline customer-service tasks, measuring whether models complete tasks through APIs while following policy constraints. On this page it ranks 29 tracked models where higher is better.

Is a higher τ-bench score always better?

For this benchmark, higher is better. A high score helps you shortlist, but confirm pricing, context window, and provider availability on each model page before committing — the top scorer is not always the right pick for your workload or budget.

How current is this τ-bench data?

This benchmark was last reviewed on Apr 26, 2026. The tracked score average moved -7.71 points across the last 3 snapshots.

Related benchmarks

Last reviewed: Apr 26, 2026

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