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 7, 2026
Published models4
Registry coverage4
MetricScore
EvidenceB
Vending-Bench 2 leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AN | 801759.0% | 100.0% | 4 | C | |
| 2 | ZA | 563441.0% | 66.7% | 4 | C | |
| 3 | GO | 547816.0% | 33.3% | 4 | C | |
| 4 | GO | 363500.0% | 0.0% | 4 | C |
Score distribution
Top published rows on the benchmark's original scale.
Vending-Bench 2 highlights
The top published results on this benchmark's own scale.
What is Vending-Bench 2?
Definition and scoring fields from the benchmark registry.
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 ratio. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- Vending-Bench 2
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- vending-bench-2|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about Vending-Bench 2.
Which model scores highest on Vending-Bench 2?
Claude Opus 4.6 is currently ranked first with 801759.0%.
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 score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.