reasoning benchmark
t2-bench
t2-bench is a benchmark for evaluating agentic tool use capabilities, measuring how well models can select, sequence, and utilize tools to solve complex tasks. It tests autonomous planning and execution in multi-step scenarios.
Updated Aug 11, 2026
Models23
Model coverage23
MetricScore
EvidenceB
t2-bench Ranking
Higher score ranks better on this benchmark.
t2-bench Score Distribution
A closer view of the leading scores on this benchmark.
t2-bench Highlights
The leading models and scores on this benchmark.
What is t2-bench?
What t2-bench measures and how its scores work.
t2-bench is a benchmark for evaluating agentic tool use capabilities, measuring how well models can select, sequence, and utilize tools to solve complex tasks. It tests autonomous planning and execution in multi-step scenarios.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- t2-bench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- t2-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about t2-bench.
Which model scores highest on t2-bench?
Gemini 3.1 Pro is currently ranked first with 99.3%.
What does t2-bench measure?
t2-bench is a benchmark for evaluating agentic tool use capabilities, measuring how well models can select, sequence, and utilize tools to solve complex tasks. It tests autonomous planning and execution in multi-step scenarios.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
23 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.