Benchmarks / tau2-bench

Reported by tau2-bench

tau2-bench

Share of telecom account and technical support tasks completed within policy in all four trials.

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

Full results

tau2 v1.0.1, telecom: consistency (pass^4), % of tasks, higher is better
#Modeltau2 v1.0.1, telecom: consistency (pass^4)
% of tasks, higher is better
1 Qwen3.5 397B A17B (thinking reasoning, tau2)Alibaba
92.1%
2 Claude Opus 4.5 (high reasoning, tau2)Anthropic
78.1%
3 gemini-3-pro (high reasoning, tau2)Google
74.6%
4 GPT-5.2 (high reasoning, tau2)OpenAI
71.9%
5 gemini-3-flash (high reasoning, tau2)Google
70.2%
6 Claude Sonnet 4.5 (thinking reasoning, tau2)Anthropic
64.0%
7 GLM 5 (thinking reasoning, tau2)Z.ai
62.3%
8 GPT-5.2 (no reasoning, tau2)OpenAI
30.7%

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

What it measures

Share of telecom account and technical support tasks completed within policy in all four 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.