reasoning benchmark
Tau3 Banking evaluates agentic models on multi-turn, tool-using customer-support scenarios in a simulated retail banking environment.
Updated Oct 23, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelSA | Score41.20% | Percentile100.00% | Participants16 | EvidenceC | Evaluated |
| Rank02 | ModelIN | Score41.00% | Percentile93.33% | Participants16 | EvidenceC | Evaluated |
| Rank03 | ModelRA | Score36.10% | Percentile86.67% | Participants16 | EvidenceC | Evaluated |
| Rank04 | ModelXA | Score33.00% | Percentile80.00% | Participants16 | EvidenceB | Evaluated |
| Rank05 | ModelIN | Score30.24% | Percentile73.33% | Participants16 | EvidenceC | Evaluated |
| Rank06 | ModelIN | Score28.00% | Percentile66.67% | Participants16 | EvidenceC | Evaluated |
| Rank07 | ModelTM | Score23.70% | Percentile60.00% | Participants16 | EvidenceC | Evaluated |
| Rank08 | ModelME | Score23.50% | Percentile53.33% | Participants16 | EvidenceC | Evaluated |
| Rank09 | ModelUP | Score23.00% | Percentile46.67% | Participants16 | EvidenceC | Evaluated |
| Rank10 | ModelNV | Score18.88% | Percentile40.00% | Participants16 | EvidenceC | Evaluated |
| Rank11 | ModelNV | Score17.01% | Percentile33.33% | Participants16 | EvidenceC | Evaluated |
| Rank12 | ModelTM | Score15.50% | Percentile26.67% | Participants16 | EvidenceC | Evaluated |
| Rank13 | ModelMA | Score13.40% | Percentile20.00% | Participants16 | EvidenceC | Evaluated |
| Rank14 | ModelNV | Score12.89% | Percentile13.33% | Participants16 | EvidenceC | Evaluated |
| Rank15 | ModelNV | Score9.28% | Percentile6.67% | Participants16 | EvidenceC | Evaluated |
| Rank16 | ModelLA | Score5.67% | Percentile0.00% | Participants16 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What Tau3 Banking measures and how its scores work.
Tau3 Banking is a reasoning benchmark for evaluating agentic models in a simulated retail banking environment.
It measures performance on multi-turn, tool-using customer-support scenarios using Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Tau3 Banking.
Atria Dawn Preview is currently ranked first with 41.20%.
The current leaders are Atria Dawn Preview (41.20%), Ling 3.0 Flash Fin (41.00%), and Beam 1.0 (36.10%).
Mercury 3 has the lowest matched official input price at $0.10 input / $0.35 output per 1M tokens.
The fastest matched records are Mercury 3 (1,068.00 tok/s via Inception) and Grok 4.5 (80.00 tok/s via xAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance on multi-turn, tool-using customer-support scenarios using Score, reported as a ratio.
Yes. Higher values rank better for this benchmark.
16 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis tau3 banking AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Atria Dawn Preview currently leads Tau3 Banking with 41.20%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.