reasoning benchmark
Vending-Bench 2 evaluates how well AI models manage a simulated vending machine business over an extended period.
Updated Sep 5, 2026
Higher final balance ranks better on this benchmark.
Rank | Model | Final balance | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Final balance8,017.59 usd | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelZA | Final balance5,634.41 usd | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Final balance5,478.16 usd | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Final balance3,635.00 usd | Percentile0.00% | Participants4 | 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 Vending-Bench 2 measures and how its scores work.
Vending-Bench 2 is a reasoning benchmark that evaluates AI models managing a simulated vending machine business for a full simulated year.
It measures Final balance in usd, along with the model's ability to maintain consistent tool usage and decision-making over the simulated year.
Scores are shown in usd. 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 Vending-Bench 2.
Claude Opus 4.6 is currently ranked first with 8,017.59 usd.
The current leaders are Claude Opus 4.6 (8,017.59 usd), GLM-5.1 (5,634.41 usd), and Gemini 3 Pro (5,478.16 usd).
Gemini 3 Flash has the lowest matched official input price at $0.50 input / $3.0 output per 1M tokens.
The fastest matched records are Gemini 3 Flash (124.32 tok/s via Google), Claude Opus 4.6 (123.15 tok/s via Anthropic), and Gemini 3 Pro (90.00 tok/s via Google).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures Final balance in usd, along with the model's ability to maintain consistent tool usage and decision-making over the simulated year.
Yes. Higher values rank better for this benchmark.
4 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis vending-bench 2 AI model leaderboard uses descending final balance in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Claude Opus 4.6 currently leads Vending-Bench 2 with 8,017.59 usd. 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.