How AI describes τ‑Bench

Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this

τ-bench is a benchmarking platform from Sierra for evaluating AI agents in collaborative, real-world scenarios, emphasizing coordination and tool use to achieve shared objectives across enterprise domains. It features a public leaderboard, results submission, and domain-specific tracks (retail, airline, telecom), with recent expansion into telecom and dual-control environments using user simulators. The project has notable milestones, including GPT-5 achieving state-of-the-art performance on τ-bench (96% telecom, 82% retail, 63% airline) and an ICLR 2025 paper acceptance, with ongoing updates and research.

Parse Score

29.6

#42 of 114 in LLM Observability and Evaluation Platforms

Strength4/ 100

Reach24/ 100

Authority0/ 100

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Where AI ranks τ‑Bench

LLM Observability and Evaluation Platforms#42

Sources

automationanywhere.com shapes more of what AI says about τ‑Bench than any other source, at 33% of its citations.

github.com · google.com · medium.com · sierra.ai

AI questions where τ‑Bench appears

Prompt	Prompt visibility
We need to test the reliability and tool-use capabilities of our agent. What's the best agent evaluation and testing framework?	2.7
What are the best platforms for evaluating whether an AI agent completed a task correctly across tools?	0.7

How AI describes τ‑Bench

Work at τ‑Bench?

How AI describes τ‑Bench

Work at τ‑Bench?

AI questions where τ‑Bench appears

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