Benchmarks / tau2-bench

Reported by tau2-bench

tau2-bench

Share of airline bookings and changes tasks completed within policy, averaged over trials.

Results dated
24 Feb 2026 to 26 May 2026
Models
8
Unit
% of tasks
Licence
MIT License

Full results

tau2 v1.0.1, airline: task success (pass^1), % of tasks, higher is better
#Modeltau2 v1.0.1, airline: task success (pass^1)
% of tasks, higher is better
1 Claude Opus 4.5 (high reasoning, tau2)Anthropic
84.0%
2 GPT-5.2 (high reasoning, tau2)OpenAI
83.0%
3 gemini-3-flash (high reasoning, tau2)Google
82.5%
3 GLM 5 (thinking reasoning, tau2)Z.ai
82.5%
5 Qwen3.5 397B A17B (thinking reasoning, tau2)Alibaba
81.5%
6 gemini-3-pro (high reasoning, tau2)Google
80.5%
7 Claude Sonnet 4.5 (thinking reasoning, tau2)Anthropic
72.0%
8 GPT-5.2 (no reasoning, tau2)OpenAI
52.5%

Results as published by tau2-bench; we do not re-run them.

What it measures

Share of airline bookings and changes tasks completed within policy, averaged over trials.

What it does not measure

Not your policies or customers: the tasks and policies are tau2's own, and the customer is simulated by gpt-5.2.

Failures

Failures count against a model: a product with no usable output is a failed listing. They are listed here so you can see why.

Not ranked

  • Distyl ButtonAgent: custom agent scaffold, not the standard harness
  • RAFT-30B-A3B: custom agent scaffold, not the standard harness

tau2-bench by Sierra Research and contributors, MIT License.