AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
τ-bench: A benchmark for tool-agent-user interaction in real-world domains. Tests language agents' ability to interact with users and follow domain-specific rules through dynamic conversations using API tools and policy guidelines across retail and airline domains. Evaluates consistency and reliability of agent behavior over multiple trials.
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Step-3.5-Flash | 0.882 | Not recorded | Not recorded | 2026-02-02 · model_announcement | LLM Stats |
| GLM-4.7 | 0.874 | Not recorded | Not recorded | 2025-12-22 · model_announcement | LLM Stats |
| MiMo-V2-Flash | 0.803 | Not recorded | Not recorded | 2025-12-16 · model_announcement | LLM Stats |
| GLM-4.7-Flash | 0.795 | Not recorded | Not recorded | 2026-01-19 · model_announcement | LLM Stats |
| MiniMax M2 | 0.772 | Not recorded | Not recorded | 2025-10-27 · model_announcement | LLM Stats |
| o3 | 0.63 | Not recorded | Not recorded | 2025-04-16 · model_announcement | LLM Stats |