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.

Claude Opus 4.6 from Anthropic currently leads the Vending-Bench 2 leaderboard with a score of 8017.590 across 4 evaluated AI models.

AnthropicClaude Opus 4.6 leads with 801759.0%, followed by Zhipu AIGLM-5.1 at 563441.0% and GoogleGemini 3 Pro at 547816.0%.

Progress Over Time

Interactive timeline showing model performance evolution on Vending-Bench 2

State-of-the-art frontier
Open
Proprietary

Vending-Bench 2 Leaderboard

4 models
ContextCostLicense
11.0M$5.00 / $25.00
2
Zhipu AI
Zhipu AI
754B200K$1.40 / $4.40
3
41.0M$0.50 / $3.00
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FAQ

Common questions about Vending-Bench 2.

What is the Vending-Bench 2 benchmark?

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.

What is the Vending-Bench 2 leaderboard?

The Vending-Bench 2 leaderboard ranks 4 AI models based on their performance on this benchmark. Currently, Claude Opus 4.6 by Anthropic leads with a score of 8017.590. The average score across all models is 5691.290.

What is the highest Vending-Bench 2 score?

The highest Vending-Bench 2 score is 8017.590, achieved by Claude Opus 4.6 from Anthropic.

How many models are evaluated on Vending-Bench 2?

4 models have been evaluated on the Vending-Bench 2 benchmark, with 0 verified results and 4 self-reported results.

What categories does Vending-Bench 2 cover?

Vending-Bench 2 is categorized under reasoning and agents. The benchmark evaluates text models.

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