Benchmarks / tau2-bench

Reported by tau2-bench

tau2-bench

Share of banking questions answered from a policy knowledge base tasks completed within policy, averaged over trials.

Results dated
5 May 2026 to 3 Aug 2026
Models
21
Unit
% of tasks
Licence
MIT License
tau2 v1.0.1, banking knowledge, alltools retrieval: task success (pass^1), % of tasks, higher is better
#Modeltau2 v1.0.1, banking knowledge, alltools retrieval: task success (pass^1)
% of tasks, higher is better
1 Qwen3.8 Max (0902)Alibaba · qwen3.8-max-0902
55.2%
2 Claude Opus 5Anthropic · claude-opus-5
48.7%
3 Grok 4.5xAI · grok-4.5
47.9%
4 GPT-5.6 SolOpenAI · gpt-5.6-sol
46.9%
5 GPT-5.5OpenAI · gpt-5.5
44.6%
6 Muse Spark 1.1Meta · muse-spark-1.1
40.5%
7 Claude Opus 4.7Anthropic · claude-opus-4.7
40.2%
8 Claude Fable 5Anthropic · claude-fable-5
39.7%
8 Claude Opus 4.8Anthropic · claude-opus-4.8
39.7%
10 GPT-5.4OpenAI · gpt-5.4
39.4%
11 Kimi K3Moonshot AI · kimi-k3
37.1%
11 GLM 5.2Z.ai · glm-5.2
37.1%
13 GPT-5.2OpenAI · gpt-5.2
32.2%
14 Claude Opus 4.6Anthropic · claude-opus-4.6
27.3%
15 Gemini 3.1 Pro PreviewGoogle · gemini-3.1-pro-preview
26.0%
16 InklingThinkingmachines · inkling
25.0%
17 Claude Opus 4.5Anthropic · claude-opus-4.5
24.7%
18 Grok 4.20xAI · grok-4.20
18.0%
19 grok-4-fastxAI
15.7%
20 Gemini 2.5 ProGoogle · gemini-2.5-pro
13.7%
21 grok-4-1-fastxAI
13.1%

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

What it measures

Share of banking questions answered from a policy knowledge base 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.