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 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | XI | 72.9% | 100.0% | 5 | C | |
| 2 | AC | 70.7% | 75.0% | 5 | C | |
| 3 | ZA | 70.6% | 50.0% | 5 | C | |
| 4 | AC | 67.2% | 25.0% | 5 | C | |
| 5 | NV | 22.6% | 0.0% | 5 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
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 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.