reasoning benchmark
TAU3-Bench Leaderboard
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 17, 2026
Models5
Model coverage5
MetricScore
EvidenceB
TAU3-Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXI | Score72.9% | Percentile100.0% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score70.7% | Percentile75.0% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelZA | Score70.6% | Percentile50.0% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score67.2% | Percentile25.0% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelNV | Score22.6% | Percentile0.0% | Participants5 | EvidenceC | Evaluated |
TAU3-Bench Highlights
The leading models and scores on this benchmark.
TAU3-Bench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for TAU3-Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis tau3-bench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01XIMiMo-V2.5-ProXiaomi
- Score
- 72.9%
- Price
- $0.43 input / $0.87 output per 1M tokens
- Speed
- Up to 69 tok/s via Novita
Strengths
- Ranks #1 of 5 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures TAU3-Bench, not total model capability
- 02ACQwen3.6 PlusAlibaba Cloud / Qwen Team
- Score
- 70.7%
- Price
- $0.50 input / $3.0 output per 1M tokens
- Speed
- Up to 16 tok/s via Together
Strengths
- Ranks #2 of 5 compared models
- 75th percentile on this benchmark
- C evidence result
Considerations
- This result measures TAU3-Bench, not total model capability
- 03ZAGLM-5.1Zhipu AI
- Score
- 70.6%
- Price
- $1.4 input / $4.4 output per 1M tokens
Strengths
- Ranks #3 of 5 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures TAU3-Bench, not total model capability
- 04ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team
- Score
- 67.2%
- Price
- $0.25 input / $1.5 output per 1M tokens
Strengths
- Ranks #4 of 5 compared models
- 25th percentile on this benchmark
- C evidence result
Considerations
- This result measures TAU3-Bench, not total model capability
- 05NV
- Score
- 22.6%
- Price
- $0.50 input / $2.5 output per 1M tokens
Strengths
- Ranks #5 of 5 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures TAU3-Bench, not total model capability
Selection summary
Best AI Models for TAU3-Bench
MiMo-V2.5-Pro currently leads TAU3-Bench with 72.9%. 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.
What is TAU3-Bench?
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.
- Family
- TAU3-Bench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- tau3-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about TAU3-Bench.
Which model scores highest on TAU3-Bench?
MiMo-V2.5-Pro is currently ranked first with 72.9%.
What does TAU3-Bench measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
5 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.