reasoning benchmark
Vending-Bench 2
Vending-Bench 2 tests longer horizon planning capabilities by evaluating how well AI models can manage a simulated vending machine business over extended periods. The benchmark measures a model's ability to maintain consistent tool usage and decision-making for a full simulated year of operation, driving higher returns without drifting off task.
Updated Aug 11, 2026
Models4
Model coverage4
MetricFinal balance
EvidenceB
Vending-Bench 2 Ranking
Higher final balance ranks better on this benchmark.
| 01 | AN | 8,017.59 usd | 100.0% | 4 | C | |
| 02 | ZA | 5,634.41 usd | 66.7% | 4 | C | |
| 03 | GO | 5,478.16 usd | 33.3% | 4 | C | |
| 04 | GO | 3,635 usd | 0.0% | 4 | C |
Vending-Bench 2 Score Distribution
A closer view of the leading scores on this benchmark.
Vending-Bench 2 Highlights
The leading models and scores on this benchmark.
What is Vending-Bench 2?
What Vending-Bench 2 measures and how its scores work.
Vending-Bench 2 tests longer horizon planning capabilities by evaluating how well AI models can manage a simulated vending machine business over extended periods. The benchmark measures a model's ability to maintain consistent tool usage and decision-making for a full simulated year of operation, driving higher returns without drifting off task.
Scores are shown in usd. This benchmark is not independently verified and has an evidence level of B.
- Family
- Vending-Bench 2
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- vending-bench-2|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Vending-Bench 2.
Which model scores highest on Vending-Bench 2?
Claude Opus 4.6 is currently ranked first with 8,017.59 usd.
What does Vending-Bench 2 measure?
Vending-Bench 2 tests longer horizon planning capabilities by evaluating how well AI models can manage a simulated vending machine business over extended periods. The benchmark measures a model's ability to maintain consistent tool usage and decision-making for a full simulated year of operation, driving higher returns without drifting off task.
Is a higher final balance better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.