reasoning benchmark
TAU3-Bench is a benchmark for evaluating general-purpose agent capabilities, testing models on multi-turn interactions with simulated user models, retrieval, and complex decision-making scenarios.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | XI | 72.9% | 100.0% | 5 | C | |
| 02 | AC | 70.7% | 75.0% | 5 | C | |
| 03 | ZA | 70.6% | 50.0% | 5 | C | |
| 04 | AC | 67.2% | 25.0% | 5 | C | |
| 05 | NV | 22.6% | 0.0% | 5 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What TAU3-Bench measures and how its scores work.
TAU3-Bench is a benchmark for evaluating general-purpose agent capabilities, testing models on multi-turn interactions with simulated user models, retrieval, and complex decision-making scenarios.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about TAU3-Bench.
MiMo-V2.5-Pro is currently ranked first with 72.9%.
TAU3-Bench is a benchmark for evaluating general-purpose agent capabilities, testing models on multi-turn interactions with simulated user models, retrieval, and complex decision-making scenarios.
Yes. Higher values rank better for this benchmark.
5 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.