TAU-bench Retail

A benchmark for evaluating tool-agent-user interaction in retail environments. Tests language agents' ability to handle dynamic conversations with users while using domain-specific API tools and following policy guidelines. Evaluates agents on tasks like order cancellations, address changes, and order status checks through multi-turn conversations.

Claude Sonnet 4.5 from Anthropic currently leads the TAU-bench Retail leaderboard with a score of 0.862 across 25 evaluated AI models.

Paper

AnthropicClaude Sonnet 4.5 leads with 86.2%, followed by AnthropicClaude Opus 4.1 at 82.4% and AnthropicClaude Opus 4 at 81.4%.

Progress Over Time

Interactive timeline showing model performance evolution on TAU-bench Retail

State-of-the-art frontier
Open
Proprietary

TAU-bench Retail Leaderboard

25 models
ContextCostLicense
1200K$3.00 / $15.00
2
3
Anthropic
Anthropic
4
5
6
Zhipu AI
Zhipu AI
355B
7
Zhipu AI
Zhipu AI
106B
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
480B
9
OpenAI
OpenAI
10
OpenAI
OpenAI
11
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
80B
12
13
OpenAI
OpenAI
14
OpenAI
OpenAI
1.0M$2.00 / $8.00
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
15456B
15117B131K$0.09 / $0.45
18456B
19
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
80B
20
OpenAI
OpenAI
128K$2.50 / $10.00
21
OpenAI
OpenAI
221.0M$0.40 / $1.60
2321B131K$0.10 / $0.50
24
251.0M$0.10 / $0.40
Notice missing or incorrect data?

FAQ

Common questions about TAU-bench Retail.

What is the TAU-bench Retail benchmark?

A benchmark for evaluating tool-agent-user interaction in retail environments. Tests language agents' ability to handle dynamic conversations with users while using domain-specific API tools and following policy guidelines. Evaluates agents on tasks like order cancellations, address changes, and order status checks through multi-turn conversations.

What is the TAU-bench Retail leaderboard?

The TAU-bench Retail leaderboard ranks 25 AI models based on their performance on this benchmark. Currently, Claude Sonnet 4.5 by Anthropic leads with a score of 0.862. The average score across all models is 0.678.

What is the highest TAU-bench Retail score?

The highest TAU-bench Retail score is 0.862, achieved by Claude Sonnet 4.5 from Anthropic.

How many models are evaluated on TAU-bench Retail?

25 models have been evaluated on the TAU-bench Retail benchmark, with 0 verified results and 25 self-reported results.

Where can I find the TAU-bench Retail paper?

The TAU-bench Retail paper is available at https://arxiv.org/abs/2406.12045. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does TAU-bench Retail cover?

TAU-bench Retail is categorized under reasoning, tool calling, and communication. The benchmark evaluates text models.

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